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Single-Cell Sequencing Reveals a Regulatory Role of WT1 in Mast Cell Proliferation in Endometrial Polyps

  • Yu Lin1
    Yu Lin
    • 1 International Peace Maternity & Child Health Hospital, Shanghai Municipal Key Clinical Speciality, Institute of Embryo-Fetal Original Adult Disease, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
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  • Yiwen Qi2
    Yiwen Qi
    • 2 Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Maternal and Fetal Medicine, School of Medicine, Tong Ji University, Shanghai 201204, P.R. China
    More articles by this author →
  • Yutong Yao1
    Yutong Yao
    • 1 International Peace Maternity & Child Health Hospital, Shanghai Municipal Key Clinical Speciality, Institute of Embryo-Fetal Original Adult Disease, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
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  • Huan Tong2
    Huan Tong
    • 2 Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Maternal and Fetal Medicine, School of Medicine, Tong Ji University, Shanghai 201204, P.R. China
    More articles by this author →
  • Lan Chen1
    Lan Chen
    • 1 International Peace Maternity & Child Health Hospital, Shanghai Municipal Key Clinical Speciality, Institute of Embryo-Fetal Original Adult Disease, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
    More articles by this author →
  • Weizhou Song1
    Weizhou Song
    • 1 International Peace Maternity & Child Health Hospital, Shanghai Municipal Key Clinical Speciality, Institute of Embryo-Fetal Original Adult Disease, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
    More articles by this author →
  • Guojing Li1
    Guojing Li
    • 1 International Peace Maternity & Child Health Hospital, Shanghai Municipal Key Clinical Speciality, Institute of Embryo-Fetal Original Adult Disease, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
    More articles by this author →
  • Hong Xu1
    Hong Xu
    • 1 International Peace Maternity & Child Health Hospital, Shanghai Municipal Key Clinical Speciality, Institute of Embryo-Fetal Original Adult Disease, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
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  • Xiaoying He2 ✉
    Xiaoying HeCorresponding author
    • 2 Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Maternal and Fetal Medicine, School of Medicine, Tong Ji University, Shanghai 201204, P.R. China
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Show affiliations (2)
  1. 1International Peace Maternity & Child Health Hospital, Shanghai Municipal Key Clinical Speciality, Institute of Embryo-Fetal Original Adult Disease, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
  2. 2Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Maternal and Fetal Medicine, School of Medicine, Tong Ji University, Shanghai 201204, P.R. China

Published

DOI10.52338/jocem.2025.4404 Vol 9 · 2025 ⏱ 24 min read
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Abstract

Endometrial polyps are the predominant structural anomalies of the endometrial mucosa observed in unexplained infertility cases, potentially compromising endometrial receptivity and suggesting shared etiological characteristics. However, their comprehensive cell atlas and immune landscape remain inadequately defined. In this study, we employed single-cell RNA sequencing and bulk RNA- seq to systematically analyze ectopic endometrial polyps (EPs) alongside adjacent eutopic endometrial tissues (EUs). This enabled us to delineate alterations in cell composition and transcriptional dynamics across diverse cell types associated with endometrial polyps. Notably, we observed an increase and activation of mast cells, with significant transcriptional profile variations. Through transcription regulatory network analysis, WT1 was identified as a pivotal transcriptional regulator mediating mast cell proliferation in EPs, concomitant with the dysregulation of WT1 target genes involved in cell growth. These findings provide novel insights into the cellular heterogeneity and molecular mechanisms of endometrial polyps at single-cell resolution, presenting potential therapeutic targets for clinical intervention.

1 Introduction#

Endometrial polyps (EPs) are localized, sessile, or pedunculated structural abnormality of the mucous membrane 1 . They are the most common structural abnormality of the mucous membrane of the endometrium detected in about 50% of cases of abnormal uterine bleeding and 35% of infertility2,3 . The risk factors for endometrial polyps’ development are tamoxifen usage4 , advanced age, hypertension, and obesity5,6 . Though malignant transformation of EPs is rare7,8 , the endometrial polyp provides an unfavorable environment for the endometrium receptivity and other etiopathogeneses. However, the pathogenesis of EPs was not clear9 , and the exact cause of endometrial polyps is uncertain10 , One hypothesis suggests that the elevated levels of estrogen receptors (ERs) in the glandular cells of polyps are significantly higher than those found in normal endometrial tissue11 . Studies also supposed it as endometrial localized chronic inflammation and mast cells might be essential to initiate and control the inflammation through cytokines and growth factors secretion. However, the cell landscape of endometrial polyps is still uncertain.

Evaluation of the endometrial cells and epithelial evolutionary trajectory in patients with EPs is an important line of investigation in the pathophysiology of the disease. Single-cell RNA sequencing (scRNA-seq) has become an essential technique for analyzing the complexity and diversity within tissues, offering insights into the cellular and molecular landscapes of complex tissues. By profiling both ectopic endometrial polyps and adjacent eutopic endometrium, this approach allows for a detailed comparison of the cellular dynamics and transcriptional alterations specific to EPs.

Mast cells serve a pivotal role in the pathobiology of type 2 (T2) allergic inflammatory airway diseases, such as asthma and chronic rhinosinusitis with nasal polyps12 . These factors contribute to the advancement and intensity of type 2 inflammatory disorders through various mechanisms, such as the synthesis of eicosanoids, the production of cytokines, and the secretion of pre-existing mediators like proteases and histamine13 . The expansion of Mast cells is a notable characteristic of both nasal and colonic polyps. Research suggests that the growth of these polyps is partially driven by the local proliferation of mast cells within the nasal polyp tissue14 . Furthermore, a high density of activated Mast cells has been reported in endometrial polyps15 . Therefore, identifying the factors that stimulate mast cells proliferation holds significant pathobiologic implications for endometrial polyps.

Given these insights, elucidating the transcriptional regulation and cellular interactions within endometrial polyps (EPs) is pivotal for understanding their pathophysiology. Here, we identify transcriptional regulators, notably WT1, as central to mast cell proliferation. This study seeks to delineate the role of WT1 in this proliferation process and its broader implications for EPs formation and progression. By dissecting transcriptional regulatory programs and cellular dynamics, we aim to uncover novel therapeutic targets for addressing EPs-associated symptoms and complications.

2 Methods#

2.1 Patients and samples#

In this study, all samples were obtained from the international maternity and child health hospital of Medical school, Shanghai Jiaotong University, Shanghai, China. The detailed patients and sample information can be found in Table S1.Informed consent from patients were obtained before this work. All procedures involved were approved by the Institutional Review Board of international maternity and child health hospital.

2.2 Preparation of single cell suspensions#

All endometrial tissue samples were processed independently using an identical protocol. In brief, the tissues were minced into small fragments, each measuring less than 1 mm in diameter. These fragments underwent enzymatic digestion with collagenase I (1 mg/ml; Thermo Fisher) and deoxyribonuclease I (0.2 mg/ml; Thermo Fisher) for 50 minutes on a rotator at 37 °C. The resulting digested mixture was filtered through a 70-μm cell strainer to isolate dissociated cells. Following this, the supernatant was discarded after centrifugation at 300g for 10 minutes, and the pellet was resuspended in 1 mL of red blood cell lysis buffer (Thermo Fisher) and incubated at 4 °C for 10 minutes to eliminate intact red blood cells. To further purify the single-cell suspension, a Dead Cell Removal Kit (Miltenyi) was employed to eliminate dead cells. The resultant pellet was then resuspended in 5 mL of calcium- and magnesium-free PBS containing 0.04% weight/volume BSA. Finally, 10 µl of this suspension was counted using a hemocytometer under an inverted microscope, with Trypan blue utilized to distinguish live cells. After confirming the quality of the single-cell suspensions, three samples from each group were selected for 10x Genomic sequencing, given the high costs associated with single-cell RNA sequencing.

2.3 Library construction for single cell gene expression#

Six samples were processed using the 10x Genomics Chromium platform , as detailed in Table S1. The freshly prepared single-cell suspension was diluted to a concentration of 700-1200 cells per μl, following the guidelines provided in the 10x Genomics Chromium Next GEM Single Cell 3’ Reagent Kits v3.1 (No. 1000268) for computational analysis and library construction. The resulting library was sequenced on the Illumina Nova 6000 PE150 platform.

Furthermore, eight samples were examined with the BD Rhapsody™ platform, as outlined in Table S1. In accordance with the manufacturer’s guidelines, the single-cell suspension was modified to the correct volume for processing and capture using the BD Rhapsody™ Enhanced Cartridge Reagent Kit (Cat. No. 664887) along with the BD Rhapsody™ Cartridge Kit (Cat. No. 633733). Reverse transcription was carried out utilizing the BD Rhapsody™ cDNA kit (Cat. No. 633773), and the BD Rhapsody™ WTA Amplification Kit (Cat. No. 633801) was employed for constructing the DNA library. High-throughput sequencing was performed in PE-150 mode.

2.4 Processing Raw Data from scRNA-seq#

The FASTQ files from 10xGenomics Chromium platform were initially analyzed using the 10xGenomics Chromium pipeline, employing the default parameters from the Cell Ranger single-cell software suite (v6.1.2) (10xGenomics) (accessible at https://www.10xgenomics.com/support/software/cell-ranger/latest). Following this, the FASTQ files from the BD Rhapsody™ platform were processed via the BD Rhapsody WTA analysis pipeline, utilizing the GRCh38 human genome as a reference (Seven Bridges, Charlestown, Mass). The resulting data were subsequently evaluated using SeqGeq 1.8.0 (BD Biosciences).

2.5 Single-cell gene expression quantification and determination of cell types#

The single-cell RNA-seq data were analyzed using the Seurat R package (version 4.0.4). To exclude doublets, the R package DoubletFinder was employed. After conducting quality control, a total of 103,539 cells were retained for subsequent bioinformatics analyses. To mitigate batch effects between samples and experiments, integration was performed using the fastMNN method. Dimensionality reduction was achieved with the “RunUMAP” function, allowing visualization through Uniform Manifold Approximation and Projection (UMAP). For subgroup clustering, cells of various types were separately extracted and clustered based on their first 22 clusters, using a resolution of 0.5. The Wilcoxon rank-sum test, executed with the “FindAllMarkers” function, identified markers for each cluster. Only genes with |avg_log2FC| > 0.25 and p_val_adj < 0.05 were considered significant marker genes. The marker genes for each cluster are detailed in Supplementary Table S2.

2.6 Bulk RNA sequencing and data analysis#

To identify the genes responsible for endometrial polyps, we compare the expression profiles between 5 endometrial polyps and 5 eutopic endometrium. Adapter trimming and quality control were automated using Trim Galore (version 0.6.7). For genomic alignment, Hisat2 (version 2.1.0) was utilized to map sequences to the human reference genome (GRCh38). The read counts for each gene were calculated using featureCounts (version 1.6.3). Differentially expressed genes between the samples were determined using DEGseq2, applying thresholds of |Log2-fold change| > 1 and a p-value < 0.05.

2.7 Cellular Communication Networks in Single-Cell Sequencing Data#

To explore enhanced cell-cell communication between mast cells and other cells, we utilized CellPhoneDB, a comprehensive tool designed to identify and visualize cell-type interactions based on signaling characteristics. we employed the METHOD 3: Retrieval of Differentially Expressed Interactions available in CellPhoneDB version 316 , which leverages differentially expressed genes to extract and highlight enhanced cell communication.

2.8 WT1 knockdown with siRNAs#

To investigate the role of WT1 in mast cell proliferation, we performed siRNA-mediated knockdown of WT1 in the HMC-1 mast cell line. The experiments were conducted in triplicate, with three samples undergoing WT1 knockdown and three control samples treated with a non-targeting siRNA. RNA sequencing was carried out to assess changes in gene expression 24 hours post-transfection. Following transfection, cell counts were measured at 0, 24, and 48 hours using CounterSTAR (ALIT Biotech, China).

2.9 Identification of DEGs between endometrial polyps and eutopic endometrial tissue#

To identify differentially expressed genes (DEGs), we utilized the “FindMarkers” function in Seurat. The log fold change (Log2FC) and the adjusted p-values for each DEG were evaluated through ROC analysis. Only genes that met the criteria of |avg_logFC| > 0.25 and FDR (false discovery rate) indicated by p_val_adj < 0.05 were classified as DEGs.

2.10 Transcriptional Regulatory Network Analysis#

The transcriptional regulatory network was examined using the GENIE3 (version 1.10.0) and RcisTarget (version 1.8.0) R packages as part of the SCENIC workflow (version 1.1.2.1), applying the default settings (28). Reference transcription factors (TFs) corresponding to hg19 were obtained via RcisTarget. The gene expression data from 31,503 cells were normalized using Seurat and served as input.Initially, co-expression modules were identified by analyzing the relationships between transcription factors and potential target genes based on the gene expression data through GENIE3. Following this, cis-regulatory motif enrichment analysis was conducted on all potential target genes within each co-expression module using RcisTarget. Only those target genes that were enriched with the specific motifs of their corresponding TFs were designated as direct target genes. Each transcription factor, along with its direct target genes, was categorized as a regulon. Finally, the gene regulatory interactions between fibroblast and epithelial cells were inferred using the Seurat FindAllMarkers function.

2.11 Pathway Enrichment Analysis and Visualization#

It is was performed following a previous study17 , For pathway enrichment analysis and visualization of differentially expressed genes (DEGs), we followed a comprehensive protocol outlined by Reimand et al18. and utilized Metascape19 . The initial step involved using g:Profiler to conduct pathway enrichment analysis on the DEG list. Subsequently, the results were visualized through EnrichmentMap (version 3.5.0) within Cytoscape (version 3.10.1). To facilitate the navigation and interpretation of the pathway enrichment outcomes, we employed AutoAnnotate (version 1.3.2) in Cytoscape. Metascape serves as an online platform that offers extensive resources for the annotation and analysis of gene lists.

2.12 Immunohistochemistry#

Fresh human specimens were fixed in a 4% paraformaldehyde solution for 24 hours, subsequently embedded in paraffin, and sectioned into 5 μm slices. These sections underwent deparaffinization in xylene and rehydration in ethanol. Antigen retrieval was conducted using Tris-EDTA (pH 9.0) (Biosharp, Anhui, China) in a microwave. For the subsequent procedures, a staining kit from Absin (Shanghai, China) was utilized.In brief, the slides were treated with 3% H2O2 to inhibit endogenous peroxidase activity, followed by blocking with 5% BSA. The sections were then incubated overnight at 4 °C with primary antibodies targeting CD63 (1:200) and TPSB2 (1:200). This was followed by incubation with a secondary antibody. Staining was carried out using DAB and hematoxylin. Observations and imaging of the slides were performed with a microscope (Leica, Germany).

2.13 Immunofluorescence#

Paraffin sections with a thickness of 7 μm were prepared. Following dewaxing and rehydration, heat-mediated antigen retrieval was conducted using a citrate-based solution (pH 6.0). The sections were subsequently permeabilized in PBS supplemented with 0.4% Triton X-100 for 30 minutes at room temperature. After washing with PBS, the samples were then blocked with 5% bovine serum albumin (BSA) at room temperature for 1 hour. Following this, they were incubated overnight at 4 with primary antibodies against trytase (1:100, Abcam, ab8978, Cambridge, UK),. After washing with PBS, the samples were treated with 555-conjugated secondary antibodies (Invitrogen, California, A-31572, USA) for 1 hour in the dark at room temperature, then stained with 4,6-diamidino-2-phenylindole (DAPI). Immunofluorescence imaging was carried out using a confocal microscope (Leica, Germany).

2.14 Statistics#

Cell distribution between the two groups was analyzed using unpaired two-tailed Wilcoxon rank-sum tests. For comparing gene expression or gene signatures between the two cell groups, unpaired two-tailed Student’s t-tests were employed. All statistical analyses and visualizations were conducted using R. The specific statistical tests applied in the figures are detailed in the figure legends, with statistical significance defined as p < 0.05.

3 Results#

3.1 scRNA-seq profiling of endometrial polyps and eutopic endometrium tissues#

We performed single-cell RNA sequencing to construct a global endometrial polyps (EPs) atlas, which profiled both ectopic endometrial and adjacent eutopic endometrium tissues (EU) from seven patients with endometrial polyps (Fig.1A). In sections stained with hematoxylin and eosin (H&E), we noted a twofold increase in the cross-sectional area of the glandular epithelium in the MP group compared to the EU group (Fig 1B), After rigorous quality control, a total of 103,539 cells were identified, including 52974 cells from eutopic endometrium and 50565 cells from the polyps, respectively. Average 2840 genes and 8914 unique molecular identifiers (UMIs) were obtained per cell, indicating sufficient coverage and transcripts representative(Fig. S1). Next, we performed unsupervised clustering analysis and genomic signature identification, 8 clusters were defined in the endometrium (Fig.1C and D), including epithelial cells (9.3 %), fibroblasts (67.1%), smooth muscle cells (SMCs) (2.5 %), endothelial cells (2.1 %), macrophages (3.8 %), NK cells (6.8 %), mast cells (1.1%), and CD8 T cells (7.2%). The number for each cell type in endometrial samples is shown in Table1. The correlation between these cell types confirms their identification (Fig. S2).

Table 1

Table 1
Patients` Information
SamplePatient IDAge at Surgery (Years)History of gestationPhase of CycleThe cycle daysAbnormal bleeding or not prior to Surgery (1=yes; 0=no)Treatment received prior to Surgery (1=Surgery treatment; 2=drug treatment; 0=untreated)Number of polypsPolyps location in uterusThe diameter of the largest polyps(cm)ExperimentNo.cells analyzed
EU11471-1-0-0proliferative10/28001Right anterior1.5single cell RNAseq (BD Rhapsody)5370
EP12519
EU22415-2-3-0proliferative11/28001anterior0.6single cell RNAseq (BD Rhapsody)4364
EP28526
EU33290-0-0-0proliferative13/28101Right Lateral1.2single cell RNAseq (BD Rhapsody)1091
EP31239
EU44373-2-1-0proliferative11/30001anterior lateral0.5single cell RNAseq (BD Rhapsody)6835
EP44592
EU55421-1-0-0proliferative8/21001anterior1.5single cell RNAseq (10× Genomics)12046
EP511254
EU66270-0-0-0proliferative10/28-30101left horn0.5single cell RNAseq (10× Genomics)13068
EP611407
EU77280-0-0-0proliferative13/30001posterior fundus1single cell RNAseq (10× Genomics)10200
EP711028
EU88371-0-1-0proliferative11/30012anterior, fundus1.5Bulk RNAseq
EP8
EU99351-0-0-1proliferative13/28101Right anterior2.5Bulk RNAseq
EP9
EU1010340-0-0-0proliferative9/28001anterior0.5Bulk RNAseq
EP10
EU1111281-0-1-0proliferative10/28-30001anterior0.5Bulk RNAseq
EP11
EU1212290-0-0-0proliferative11/30101fundus1Bulk RNAseq
EP12

Next, we examined the changes in cell composition associated with endometrial polyps and discovered a reduction in the proportion of fibroblasts within these polyps, while the proportions of epithelial cells (p=0.049), mast cells (p=0.002), and macrophages (p=0.017) increased (Fig. 1E). To validate these changes in cell composition within the polyps, we performed immunohistochemistry staining using cell-specific markers. Indeed, we observed that the numbers of CD68-positive macrophages and TPSB2-positive mast cells in the polyps were approximately twice as high as those in the eutopic endometrium (Fig. 1F and G), consistent with previous reports , . Moreover, the levels of Ki67 in the glandular epithelium of the polyps were elevated, corroborating the increase in epithelial cells we had observed (Fig. 1H). Collectively, these observations suggest glandular proliferation and immune cell infiltration, including macrophages and mast cells, in the polyps, likely contributing to the proliferative and inflammatory alterations observed.

Figure 1 Identification of Cell Types through scRNA-Seq Analysis of Endometrial Polyps. (A) Schema: both ectopic endometrial polyps (EP) and adjacent eutopic endometrium tissues (EU) from seven patients with endometrial polyps were profiled with scRNA-seq. (B) Hematoxylin and eosin staining of EP and adjacent EU. Scale bars, 60 μm and 5 μm (zoomed-in images). Left, representative images. Right, quantitative analysis.Download

(C) Uniform manifold approximation and projection (UMAP) plot showing the eight cell types of endometrial polyps.

(D) Dot plot showing the expression of representative genes for each cell type.

(E) Bar graph showing cell proportions (%) of various cell types in EU (solid red) and EP (light red) groups, with significant differences indicated by p-values.

(F) Immunohistochemical staining for cell proliferation marker Ki67 in EU and EP. Scale bars, 60 μm and 5 μm (zoomed-in images). Left, representative images. Right, the proportion of Ki67 positive cells was quantiffed.

(G) Immunohistochemical staining for macrophage marker CD63 in EU and EP. Scale bars, 60 μm and 5 μm (zoomed-in images). Left, representative images. Right, the proportion of CD63 positive cells was quantified.

(H) Immunohistochemical staining for mast cell marker TPSB2 in EU and EP. Scale bars, 60 μm and 5 μm (zoomed-in images). Left, representative images. Right, the proportion of TPSB2 positive cells was quantiffed.

3.2 Aberrant gene expression in cell types from endometrial polyps’ samples#

To simultaneously define different gene expressions at the global and cellular levels, bulk RNA-seq was performed parallel for endometrial polyps and eutopic endometrium (Fig.2A and 2B). 94 upregulated and 16 downregulated genes were detected in endometrial polyps (log2FoldChange >1 & pvalue < 0.05 Supplemental Table2). Next, the GO analysis was performed. The results showed that regulation of inflammatory response, negative regulation of cell activation, and cellular lipid catabolic process associated signal pathway were activated in endometrial polyps. However, the genes involved in the proteoglycan metabolic process, neuron migration, and gas homeostasis were downregulated (Fig.2C).

We assessed alterations in the expression of inflammation-associated genes within the cellular layers of endometrial polyps to explore particular anomalies in molecular expression across various cell types. Notably, CD163, which was found to be upregulated in the bulk RNA-seq analysis, showed increased expression specifically in macrophages, while its expression remained unchanged in other cell types. Similarly, CST7, also upregulated in the bulk RNA-seq analysis, exhibited increased expression in mast cells, with no significant changes observed in other cells. Conversely, S100A9 and LPL, both upregulated in the bulk RNA-seq analysis, were found to be downregulated in macrophages and smooth muscle cells (SMCs) but remained unchanged in most other cell types (Fig.2D and 2E). These differences reflect the cellular heterogeneity in gene expression changes. Collectively, our findings highlight the complex and cell type-specific molecular landscape within endometrial polyps.

Table 2

Table 2
p_valavg_log2FCpct.1pct.2p_val_adjclustergenechange
MT1X3.95E-620.5677293350.3580.2132.07E-57CD8TMT1Xup
SCGB2A13.52E-2010.5425041730.3540.0591.84E-196CD8TSCGB2A1up
WFDC28.42E-1710.5169352890.4250.1324.41E-166CD8TWFDC2up
MT2A2.74E-370.4716457070.5090.431.44E-32CD8TMT2Aup
MT1E3.64E-320.407592250.2160.1211.91E-27CD8TMT1Eup
SCGB1D24.25E-810.2818324340.1730.0332.22E-76CD8TSCGB1D2up
RBP11.60E-68-0.2514561090.0680.2038.39E-64CD8TRBP1down
DIO29.59E-63-0.2517182140.070.1985.02E-58CD8TDIO2down
COL3A14.60E-47-0.2594775930.3970.562.41E-42CD8TCOL3A1down
ECM11.07E-90-0.2681295570.0420.1875.58E-86CD8TECM1down
LGALS13.17E-85-0.2919888720.6220.7861.66E-80CD8TLGALS1down
MGP6.24E-78-0.3036030620.0950.2543.27E-73CD8TMGPdown
SFRP46.15E-76-0.3118308610.4850.6533.22E-71CD8TSFRP4down
GNLY6.23E-48-0.3273273070.1790.3353.26E-43CD8TGNLYdown
SCGB1D213.92E-371.0042246480.8290.422.05E-32ciliated_EpCSCGB1D2up
SCGB1D41.51E-280.8768864520.7770.4017.92E-24ciliated_EpCSCGB1D4up
TFF36.75E-270.8505300630.7390.4083.54E-22ciliated_EpCTFF3up
CHGA2.89E-140.6428331350.5350.2361.51E-09ciliated_EpCCHGAup
SCGB2A111.43E-370.5081042130.9880.8857.51E-33ciliated_EpCSCGB2A1up
WFDC213.55E-250.4968831840.9780.791.86E-20ciliated_EpCWFDC2up
PAEP1.59E-130.4645809680.4090.0898.33E-09ciliated_EpCPAEPup
SOD31.87E-160.4472203890.6160.2619.77E-12ciliated_EpCSOD3up
SPP11.15E-140.442642950.3550.0456.01E-10ciliated_EpCSPP1up
CFAP701.87E-150.4243990870.7320.4659.80E-11ciliated_EpCCFAP70up
LINC014801.20E-130.4115538090.880.6756.29E-09ciliated_EpCLINC01480up
FXYD32.30E-100.4034045120.5590.2871.21E-05ciliated_EpCFXYD3up
EPHX13.15E-150.401908660.8520.6051.65E-10ciliated_EpCEPHX1up
CLU1.46E-130.398614190.80.6057.64E-09ciliated_EpCCLUup
PIGR3.33E-130.3954266350.6510.3631.74E-08ciliated_EpCPIGRup
EPPIN2.24E-140.3874160630.620.281.17E-09ciliated_EpCEPPINup
CD591.25E-140.3866712470.7640.4786.52E-10ciliated_EpCCD59up
BX890604.29.87E-120.3698783110.6010.3765.17E-07ciliated_EpCBX890604.2up
METRN1.64E-140.36935770.8630.7138.56E-10ciliated_EpCMETRNup
GALNT41.59E-130.3679838130.4380.1468.32E-09ciliated_EpCGALNT4up
GSTA33.83E-150.3660170460.7150.4392.00E-10ciliated_EpCGSTA3up
BMPR1B6.37E-150.3659549870.6220.2933.33E-10ciliated_EpCBMPR1Bup
SYNE11.88E-120.3635732420.7280.4659.84E-08ciliated_EpCSYNE1up
MS4A84.32E-120.3593147080.8990.7072.26E-07ciliated_EpCMS4A8up
NDUFC21.54E-110.3540299940.7360.5298.06E-07ciliated_EpCNDUFC2up
POU2AF14.06E-140.3531238140.4910.1852.13E-09ciliated_EpCPOU2AF1up
SRGAP31.70E-120.3462484740.6760.3828.89E-08ciliated_EpCSRGAP3up
WFDC61.40E-150.3453448510.3830.077.34E-11ciliated_EpCWFDC6up
NT5E2.22E-110.3431687260.5170.2551.16E-06ciliated_EpCNT5Eup
TMBIM41.89E-110.3364223240.6270.3699.91E-07ciliated_EpCTMBIM4up
CSRP27.02E-130.3304253530.7540.5033.68E-08ciliated_EpCCSRP2up
IFI271.17E-140.329421190.9470.8546.15E-10ciliated_EpCIFI27up
PLPP26.79E-100.3292623640.6430.4333.56E-05ciliated_EpCPLPP2up
HOMER23.89E-110.3286363270.7810.4972.04E-06ciliated_EpCHOMER2up
ANKUB16.28E-110.3254846490.6770.4523.29E-06ciliated_EpCANKUB1up
KCNN32.16E-120.3233001880.6160.3381.13E-07ciliated_EpCKCNN3up
ASRGL16.81E-130.3142419890.9240.7583.57E-08ciliated_EpCASRGL1up
CD97.94E-110.31366870.7710.5294.16E-06ciliated_EpCCD9up
NFIA1.00E-110.3131810060.7420.4715.24E-07ciliated_EpCNFIAup
C4orf482.63E-070.311531190.6780.4780.013787146ciliated_EpCC4orf48up
GADD45G7.97E-080.3113283770.5260.3060.004172822ciliated_EpCGADD45Gup
CP1.68E-070.3099942330.4630.2480.00878835ciliated_EpCCPup
AL365259.11.02E-110.3097803510.4960.2365.34E-07ciliated_EpCAL365259.1up
FABP64.15E-100.3086340130.7540.5482.17E-05ciliated_EpCFABP6up
PGR7.59E-120.3073623850.8740.7013.97E-07ciliated_EpCPGRup
HLA-DRA5.66E-090.305924080.5350.3120.000296387ciliated_EpCHLA-DRAup
HLA-C1.11E-080.3054801660.7140.5410.000578906ciliated_EpCHLA-Cup
GTF2I1.43E-080.3046503430.6810.4970.000749873ciliated_EpCGTF2Iup
PAX89.81E-110.3043800680.7730.5615.14E-06ciliated_EpCPAX8up
CATSPERD4.42E-100.3028558090.6040.3692.31E-05ciliated_EpCCATSPERDup
ATOX11.46E-100.3025773010.6320.3697.67E-06ciliated_EpCATOX1up
ENPP21.23E-100.3012086760.5060.2426.43E-06ciliated_EpCENPP2up
FUCA12.21E-100.2977869230.5810.3631.16E-05ciliated_EpCFUCA1up
HYDIN1.60E-090.2958452610.7710.5548.37E-05ciliated_EpCHYDINup
MICOS139.64E-100.293237820.7330.515.05E-05ciliated_EpCMICOS13up
UGT2B72.46E-110.2924059260.5530.2611.29E-06ciliated_EpCUGT2B7up
LINC002401.78E-100.2910992550.6140.3769.31E-06ciliated_EpCLINC00240up
SSPN1.61E-100.2898609130.6130.3578.42E-06ciliated_EpCSSPNup
BHLHE413.17E-100.2895541620.7160.4591.66E-05ciliated_EpCBHLHE41up
SCPEP14.20E-110.2894240650.5970.3442.20E-06ciliated_EpCSCPEP1up
SLC23A11.67E-080.2882758250.6930.4970.00087406ciliated_EpCSLC23A1up
C16orf897.89E-130.2879774120.3760.0894.13E-08ciliated_EpCC16orf89up
RNASEK8.28E-060.2867944110.630.420.43329628ciliated_EpCRNASEKup
KIAA13247.65E-100.2858141070.6410.3694.00E-05ciliated_EpCKIAA1324up
SYNE22.82E-090.2837370640.7730.6180.000147506ciliated_EpCSYNE2up
AC084866.16.16E-100.2831231170.7250.5033.22E-05ciliated_EpCAC084866.1up
ATP6V0C2.60E-080.2821697420.5470.2930.001362647ciliated_EpCATP6V0Cup
CATIP4.41E-100.2818890540.5070.2482.31E-05ciliated_EpCCATIPup
FBLN14.23E-070.2811628740.7280.5030.022128103ciliated_EpCFBLN1up
CFAP471.15E-090.281156680.6560.426.02E-05ciliated_EpCCFAP47up
PKHD1L16.77E-080.2803807070.4590.2420.003544584ciliated_EpCPKHD1L1up
MT-ATP61.51E-150.2802338630.980.8667.92E-11ciliated_EpCMT-ATP6up
DNAH111.33E-080.2789653440.7290.5350.000694931ciliated_EpCDNAH11up
AKAP98.74E-090.2778850630.8770.6620.000457778ciliated_EpCAKAP9up
ALG1L3.51E-100.2743203090.5280.2611.84E-05ciliated_EpCALG1Lup
CCDC88A1.39E-080.2738446920.6620.4010.000725692ciliated_EpCCCDC88Aup
SMIM191.66E-100.2720508950.7560.5418.71E-06ciliated_EpCSMIM19up
C11orf546.32E-100.271005990.4790.2483.31E-05ciliated_EpCC11orf54up
C2orf881.10E-070.26945550.7740.5030.005766478ciliated_EpCC2orf88up
MT-ND38.10E-080.2686400920.9570.7770.004242497ciliated_EpCMT-ND3up
UACA8.13E-090.2677478050.7660.5990.000425535ciliated_EpCUACAup
TXNIP2.46E-080.2644436190.8010.6110.001289795ciliated_EpCTXNIPup
AL022068.16.40E-090.2638747270.6090.4010.000334925ciliated_EpCAL022068.1up
TMED62.66E-100.2632713270.4250.1661.39E-05ciliated_EpCTMED6up
IRX37.02E-090.2630970910.70.4390.000367338ciliated_EpCIRX3up
DTHD12.44E-090.2626771160.7230.5220.000127895ciliated_EpCDTHD1up
ZNF4864.50E-110.2610815280.3790.1152.36E-06ciliated_EpCZNF486up
HLA-DRB11.97E-080.2606188810.4360.1970.00103403ciliated_EpCHLA-DRB1up
LSM77.97E-090.2593477510.5930.3630.000417354ciliated_EpCLSM7up
DNAJB132.24E-090.2586706330.860.6690.00011748ciliated_EpCDNAJB13up
MT-CYB1.27E-070.2567460010.9660.8150.006626209ciliated_EpCMT-CYBup
NME21.65E-050.2549586030.6120.3690.862828266ciliated_EpCNME2up
RBBP72.28E-090.254449890.760.5350.000119415ciliated_EpCRBBP7up
NDUFA74.56E-070.2540016050.5820.3440.023870433ciliated_EpCNDUFA7up
ALDH1L11.70E-070.2537199240.5810.350.008877ciliated_EpCALDH1L1up
RESF11.42E-070.253216680.5940.3890.007419111ciliated_EpCRESF1up
RARRES22.01E-08-0.2501150670.1330.280.001054227ciliated_EpCRARRES2down
MTATP6P10.004266311-0.2516990250.3330.4711ciliated_EpCMTATP6P1down
TGFBI2.88E-09-0.2553506760.0920.2360.00015105ciliated_EpCTGFBIdown
SRGAP3-AS21.59E-09-0.2559250630.1260.2998.35E-05ciliated_EpCSRGAP3-AS2down
SERPINH12.24E-07-0.2646277070.2390.4010.011742388ciliated_EpCSERPINH1down
CNN36.45E-08-0.2650673550.2140.3820.00337836ciliated_EpCCNN3down
IGF10.319987036-0.2654098120.360.3441ciliated_EpCIGF1down
GHITM7.14E-08-0.268816760.4260.5920.003738235ciliated_EpCGHITMdown
ECM115.65E-08-0.2696197810.1430.2990.002956943ciliated_EpCECM1down
SPARC0.07739704-0.2728685220.3570.3821ciliated_EpCSPARCdown
DCN1.21E-09-0.2729390810.110.2686.35E-05ciliated_EpCDCNdown
AC023300.21.72E-07-0.2825500520.6030.6820.00902502ciliated_EpCAC023300.2down
COL6A12.67E-05-0.2833040340.2550.3761ciliated_EpCCOL6A1down
NREP6.84E-06-0.2875535170.1880.3180.358311647ciliated_EpCNREPdown
IGFBP29.85E-09-0.2916174280.2050.3760.000515481ciliated_EpCIGFBP2down
VCAN4.41E-05-0.2933114890.3850.491ciliated_EpCVCANdown
MTND1P232.89E-06-0.2933556560.2040.350.151284552ciliated_EpCMTND1P23down
SMIM63.92E-08-0.2987115930.770.8220.002053121ciliated_EpCSMIM6down
NAPSB1.42E-05-0.3055914310.0950.2040.74480578ciliated_EpCNAPSBdown
ZNF295-AS12.35E-05-0.3231053090.5730.6051ciliated_EpCZNF295-AS1down
TAGLN26.66E-14-0.3389586330.8110.8543.49E-09ciliated_EpCTAGLN2down
SFRP410.000250639-0.3399305090.7140.7071ciliated_EpCSFRP4down
AC007906.22.93E-13-0.3442337920.820.8731.54E-08ciliated_EpCAC007906.2down
MT-RNR17.67E-06-0.3442880230.3320.4970.401646505ciliated_EpCMT-RNR1down
LGALS110.000242185-0.3527667790.5350.5541ciliated_EpCLGALS1down
MT-RNR20.000344453-0.3531073610.3330.5031ciliated_EpCMT-RNR2down
COL1A11.31E-07-0.3722619190.7490.8030.006843584ciliated_EpCCOL1A1down
COL3A112.61E-07-0.4545897860.6450.7130.013649621ciliated_EpCCOL3A1down
MT-RNR216.64E-290.7127823640.4870.2313.48E-24EndotheliaMT-RNR2up
MTATP6P111.22E-340.6142570630.4830.2286.37E-30EndotheliaMTATP6P1up
MT-RNR119.88E-270.6019666860.4860.235.17E-22EndotheliaMT-RNR1up
CCL215.74E-210.5986955760.1760.033.01E-16EndotheliaCCL21up
CDKN1A2.03E-430.5714992440.6190.3571.07E-38EndotheliaCDKN1Aup
CLU11.62E-370.5025507670.5820.3248.48E-33EndotheliaCLUup
FOSB3.13E-400.4730715250.7780.5671.64E-35EndotheliaFOSBup
ZFP366.87E-290.4374831050.7690.6253.60E-24EndotheliaZFP36up
NR4A13.54E-280.434777020.5660.3641.85E-23EndotheliaNR4A1up
SOCS32.64E-290.4301436750.750.6311.38E-24EndotheliaSOCS3up
BHLHE405.67E-230.4135762940.6280.4882.97E-18EndotheliaBHLHE40up
KLF62.88E-320.4093954920.7920.6271.51E-27EndotheliaKLF6up
EGR13.28E-250.3927763310.7260.6011.72E-20EndotheliaEGR1up
PRSS231.09E-310.39022550.690.4755.71E-27EndotheliaPRSS23up
KLF41.03E-250.3833812280.6170.4095.38E-21EndotheliaKLF4up
GSN9.45E-340.3832593090.7190.5734.95E-29EndotheliaGSNup
TFF317.08E-240.3627216580.1660.0153.70E-19EndotheliaTFF3up
ATF37.44E-240.3624532930.4510.2463.90E-19EndotheliaATF3up
C2CD4B4.57E-180.3604618850.5930.4512.39E-13EndotheliaC2CD4Bup
FABP50.0001946790.3506499140.2540.2061EndotheliaFABP5up
HSPA1B4.68E-160.3499697680.6390.5222.45E-11EndotheliaHSPA1Bup
BTG26.95E-240.3497859720.5730.3993.64E-19EndotheliaBTG2up
NRP25.88E-170.3479532020.3610.23.08E-12EndotheliaNRP2up
PDPN2.81E-190.3475331160.1890.0451.47E-14EndotheliaPDPNup
RHOB6.09E-230.3464635520.7310.5673.19E-18EndotheliaRHOBup
MT-ATP83.00E-180.3375653520.7020.5961.57E-13EndotheliaMT-ATP8up
SLC2A33.51E-190.3364564950.6740.5571.84E-14EndotheliaSLC2A3up
FABP41.23E-160.3355096290.1150.0096.42E-12EndotheliaFABP4up
IGFBP56.12E-120.3347598240.4050.2733.21E-07EndotheliaIGFBP5up
GDF151.26E-160.3308202680.3830.2216.60E-12EndotheliaGDF15up
MAFF7.92E-220.3252773620.590.4274.15E-17EndotheliaMAFFup
CCL29.11E-130.3229639370.4420.314.77E-08EndotheliaCCL2up
IFI62.55E-200.3228965470.7330.6271.34E-15EndotheliaIFI6up
LGALS33.47E-260.3186056880.6320.4641.82E-21EndotheliaLGALS3up
IRF12.61E-180.3131334810.7210.6361.37E-13EndotheliaIRF1up
SCGB2A121.07E-290.3106764320.3510.1165.59E-25EndotheliaSCGB2A1up
TMEM702.77E-150.3060443930.5680.4521.45E-10EndotheliaTMEM70up
DUSP51.64E-170.3052668380.5270.3648.59E-13EndotheliaDUSP5up
TSPAN72.44E-190.3022065570.5010.3451.28E-14EndotheliaTSPAN7up
TIMP34.03E-200.3021557910.6730.5252.11E-15EndotheliaTIMP3up
ADIRF5.92E-170.3021492080.4180.2523.10E-12EndotheliaADIRFup
ICAM12.17E-130.2941805820.530.3971.14E-08EndotheliaICAM1up
PROX12.54E-090.2864472380.4140.3190.000132992EndotheliaPROX1up
SNHG51.38E-210.2847149580.7040.5937.23E-17EndotheliaSNHG5up
SOCS22.83E-150.2744255750.5050.3661.48E-10EndotheliaSOCS2up
JUND1.02E-280.2743096780.8930.8485.36E-24EndotheliaJUNDup
THBD6.72E-140.2693455690.570.433.52E-09EndotheliaTHBDup
GADD45B5.56E-170.2658451920.7490.642.91E-12EndotheliaGADD45Bup
PGM58.04E-190.2623336310.3260.1554.21E-14EndotheliaPGM5up
SLC25A255.75E-120.2617748830.5010.3933.01E-07EndotheliaSLC25A25up
HSPA1A4.70E-130.2613623170.80.7432.46E-08EndotheliaHSPA1Aup
BCL31.68E-110.2604014120.5210.4128.79E-07EndotheliaBCL3up
MCL11.08E-190.2595770740.7820.7015.66E-15EndotheliaMCL1up
PPP1R15A1.67E-200.2584687380.7860.7098.73E-16EndotheliaPPP1R15Aup
RPL26P194.15E-150.254502810.3040.1492.17E-10EndotheliaRPL26P19up
KLF26.14E-140.2542299920.7410.6253.22E-09EndotheliaKLF2up
FOS1.58E-170.2527138480.8710.88.27E-13EndotheliaFOSup
WFDC222.94E-160.2526033260.4080.2431.54E-11EndotheliaWFDC2up
SELENOP3.72E-180.252465420.6640.5431.95E-13EndotheliaSELENOPup
MSX15.17E-170.2521135340.3610.1872.70E-12EndotheliaMSX1up
MATR36.63E-150.2507754370.3280.1643.47E-10EndotheliaMATR3up
JUNB3.63E-210.2501929710.8720.8041.90E-16EndotheliaJUNBup
MEIS28.77E-18-0.2528918310.5210.6914.59E-13EndotheliaMEIS2down
S100A139.87E-19-0.2537465080.5110.6915.17E-14EndotheliaS100A13down
ARL6IP41.22E-18-0.2566825460.3860.66.36E-14EndotheliaARL6IP4down
EDIL35.82E-26-0.2571220050.2270.4453.05E-21EndotheliaEDIL3down
CITED41.07E-17-0.258943640.620.7555.59E-13EndotheliaCITED4down
STARD41.06E-23-0.2624498870.2570.4755.54E-19EndotheliaSTARD4down
RPS103.75E-14-0.2625679090.5520.7151.97E-09EndotheliaRPS10down
FN15.46E-21-0.263685750.7190.8182.86E-16EndotheliaFN1down
HIST1H4C8.20E-19-0.2656625830.3890.5644.30E-14EndotheliaHIST1H4Cdown
VWA11.23E-22-0.2728726320.6020.7816.43E-18EndotheliaVWA1down
NEAT15.90E-18-0.2735205390.7320.8063.09E-13EndotheliaNEAT1down
COL4A11.38E-36-0.2735260350.8510.9137.21E-32EndotheliaCOL4A1down
ARHGAP181.01E-20-0.2741277120.5790.7195.30E-16EndotheliaARHGAP18down
GTF2I11.31E-22-0.2836909110.4750.6756.85E-18EndotheliaGTF2Idown
CASC151.31E-20-0.2867330970.3360.5126.86E-16EndotheliaCASC15down
MLEC7.62E-28-0.297099970.650.7993.99E-23EndotheliaMLECdown
SLC39A106.11E-24-0.3012435540.5830.7463.20E-19EndotheliaSLC39A10down
NME211.60E-18-0.302402190.4710.6768.40E-14EndotheliaNME2down
NFAT51.91E-23-0.3053412570.5580.7131.00E-18EndotheliaNFAT5down
FAM167B2.60E-27-0.3266135560.2820.51.36E-22EndotheliaFAM167Bdown
MIF4.44E-21-0.3267918670.4920.7242.33E-16EndotheliaMIFdown
APCDD11.01E-35-0.3336080170.6760.8435.31E-31EndotheliaAPCDD1down
EIF4A12.85E-25-0.3409532610.4650.6971.49E-20EndotheliaEIF4A1down
IGFBP211.14E-32-0.3416564650.5840.775.96E-28EndotheliaIGFBP2down
EEF1G3.06E-22-0.3428973080.4680.7011.60E-17EndotheliaEEF1Gdown
CCDC85B2.10E-34-0.3505427750.5380.7721.10E-29EndotheliaCCDC85Bdown
RPS172.42E-27-0.3535603570.4510.6881.27E-22EndotheliaRPS17down
HAPLN13.17E-35-0.3705965570.1230.3481.66E-30EndotheliaHAPLN1down
RPL173.35E-22-0.3724177830.5040.7551.75E-17EndotheliaRPL17down
RPL36A9.10E-29-0.3842757950.4980.744.76E-24EndotheliaRPL36Adown
VCAN11.90E-22-0.3979960470.4240.5919.97E-18EndotheliaVCANdown
DPEP11.11E-54-0.4725589320.1930.4945.83E-50EndotheliaDPEP1down
CCND100.722240760.5260.1130FibroCCND1up
HSPB600.6094893770.7530.4430FibroHSPB6up
IGFBP600.5883849080.5090.2490FibroIGFBP6up
HMGA100.5743109980.3590.0710FibroHMGA1up
CDKN1A100.5357968830.4990.1890FibroCDKN1Aup
PLAC900.5274568450.480.2290FibroPLAC9up
GDF15100.5158567670.3550.0850FibroGDF15up
TIMP3100.4779999350.7170.40FibroTIMP3up
SOCS3100.4718858360.660.5250FibroSOCS3up
S100A400.4251990050.5080.2490FibroS100A4up
GPNMB00.4017761490.5650.3050FibroGPNMBup
NKAIN400.3987271130.3060.0150FibroNKAIN4up
CFD00.3910438150.2990.0780FibroCFDup
ZMAT300.3881064880.4550.2010FibroZMAT3up
FXYD600.3701931320.4670.1960FibroFXYD6up
CKB00.3651904310.8760.7620FibroCKBup
APOE00.3496510520.7940.6930FibroAPOEup
PTN00.3431375890.6710.5130FibroPTNup
SCGB2A1300.3422945520.3690.0750FibroSCGB2A1up
COL18A100.333940170.5380.3170FibroCOL18A1up
HSPA1B100.3333191510.6110.4870FibroHSPA1Bup
TGM200.3314361260.7290.560FibroTGM2up
CLU200.3257155710.5040.2950FibroCLUup
DNAJB100.3241662350.7850.6760FibroDNAJB1up
EMP300.323305930.760.640FibroEMP3up
GSN100.3162555280.8260.7040FibroGSNup
FBLN200.3157824860.5180.2610FibroFBLN2up
ZFP36100.3103418860.7420.6430FibroZFP36up
NFIX00.2965434140.6370.460FibroNFIXup
LMNA00.2958789970.8360.7160FibroLMNAup
PAPPA00.2947831070.450.2440FibroPAPPAup
PGF00.2937968420.2490.050FibroPGFup
AEBP100.2859019970.6120.4640FibroAEBP1up
HSPA1A100.2839552250.7830.6990FibroHSPA1Aup
DUSP100.2819467850.7790.6880FibroDUSP1up
PLAG100.281834850.2580.0220FibroPLAG1up
WFDC2300.2808720980.3930.1830FibroWFDC2up
ATF3100.2779347280.5370.3990FibroATF3up
FAM171A200.2720301120.3470.1380FibroFAM171A2up
BTG2100.265810980.6720.5480FibroBTG2up
C11orf9600.2609951480.7150.5650FibroC11orf96up
EFEMP100.2603170560.3560.2150FibroEFEMP1up
MSX1100.2595885020.3920.1860FibroMSX1up
KLF2100.2573944770.390.230FibroKLF2up
DES00.2559716670.2060.0170FibroDESup
METTL7A00.2539235110.4610.2730FibroMETTL7Aup
KCTD1200.2538730220.4550.280FibroKCTD12up
PPP1R1B00.252519450.1770.0090FibroPPP1R1Bup
COL4A500.2514303890.3990.2140FibroCOL4A5up
SLC16A10-0.2538814610.2660.4810FibroSLC16A1down
WNT5A0-0.2668621490.4530.6670FibroWNT5Adown
P2RY140-0.2668946720.3630.5660FibroP2RY14down
VWC20-0.2681711070.2870.510FibroVWC2down
PRSS120-0.2749078310.1530.3960FibroPRSS12down
CD240-0.2801441670.6890.8540FibroCD24down
MMP110-0.2810705520.7270.9030FibroMMP11down
ANKRD290-0.2819347360.2590.480FibroANKRD29down
SLC5A30-0.2829799410.4860.6820FibroSLC5A3down
APCDD110-0.2839926760.5690.7740FibroAPCDD1down
TNC0-0.2866410490.2740.4720FibroTNCdown
S100A1310-0.2871652760.620.7470FibroS100A13down
SDK10-0.2895622280.4340.6610FibroSDK1down
LHFPL60-0.3072848430.2760.5140FibroLHFPL6down
OGN0-0.3100558110.6560.8360FibroOGNdown
MGP10-0.3157104090.6840.810FibroMGPdown
MARCKS0-0.3170344230.7660.9070FibroMARCKSdown
LEF10-0.3180814750.2520.5190FibroLEF1down
TUNAR0-0.3198981530.1970.4390FibroTUNARdown
RBP70-0.3416555420.2750.5190FibroRBP7down
CFI0-0.3450669590.2330.50FibroCFIdown
NREP10-0.3557823070.7380.9260FibroNREPdown
VCAN20-0.359395540.7440.9140FibroVCANdown
ADAM120-0.3621182850.4540.7210FibroADAM12down
RBP110-0.376993590.6840.860FibroRBP1down
DIO210-0.38200850.7290.9110FibroDIO2down
PCSK50-0.3917572430.4470.7120FibroPCSK5down
GLIPR10-0.4010014240.4250.6540FibroGLIPR1down
IL320-0.4456184480.2070.520FibroIL32down
TGFBI10-0.4598336850.5530.8140FibroTGFBIdown
ADAMTS90-0.468493970.430.730FibroADAMTS9down
F13A10-0.5738629670.1810.5750FibroF13A1down
ECM120-0.6229916880.6540.9380FibroECM1down
SCGB2A144.07E-610.3864378740.3710.112.13E-56MacrophagesSCGB2A1up
WFDC242.95E-440.3427792050.4160.1921.54E-39MacrophagesWFDC2up
HLA-DRB52.52E-150.3170926360.3450.231.32E-10MacrophagesHLA-DRB5up
KLF411.37E-380.291015410.8420.7297.20E-34MacrophagesKLF4up
SELENOP13.97E-110.2668763740.5010.4162.08E-06MacrophagesSELENOPup
LGALS129.64E-39-0.2640050140.7620.8945.05E-34MacrophagesLGALS1down
DIO225.04E-31-0.2673703010.1950.3722.64E-26MacrophagesDIO2down
ECM131.59E-42-0.2780049930.1440.3388.30E-38MacrophagesECM1down
COL3A121.74E-21-0.282078720.6680.8079.09E-17MacrophagesCOL3A1down
MGP21.13E-40-0.3199079230.2140.4195.91E-36MacrophagesMGPdown
SFRP424.21E-43-0.3705877320.620.7852.20E-38MacrophagesSFRP4down
RPL1711.52E-130.9008764430.6740.1937.97E-09Mast_cellsRPL17up
RPL36A12.06E-130.8279262970.6790.2051.08E-08Mast_cellsRPL36Aup
RPS1013.63E-140.8177180540.6810.2611.90E-09Mast_cellsRPS10up
LTC4S8.46E-140.7441136750.6720.2394.43E-09Mast_cellsLTC4Sup
CTSG1.60E-090.7039381230.5670.258.37E-05Mast_cellsCTSGup
EEF1G14.18E-110.7020770190.6040.1822.19E-06Mast_cellsEEF1Gup
HSPE18.76E-130.7010991140.6580.3414.59E-08Mast_cellsHSPE1up
GABARAP3.29E-120.694987630.5920.1821.72E-07Mast_cellsGABARAPup
NME223.47E-120.6918856460.5960.1821.82E-07Mast_cellsNME2up
ATP6V0C13.37E-120.6827494030.5270.1361.77E-07Mast_cellsATP6V0Cup
RNASEK18.03E-120.6789824510.6180.1934.21E-07Mast_cellsRNASEKup
RPS1713.99E-120.6782320580.5390.1482.09E-07Mast_cellsRPS17up
EIF4A118.04E-110.6592800290.5650.2274.21E-06Mast_cellsEIF4A1up
MIF12.75E-110.656948380.5680.1591.44E-06Mast_cellsMIFup
SELENOK3.81E-160.6480605830.80.5111.99E-11Mast_cellsSELENOKup
NDUFA132.92E-110.6137515580.5750.2161.53E-06Mast_cellsNDUFA13up
WDR83OS2.22E-100.5998804540.480.1251.16E-05Mast_cellsWDR83OSup
CKLF3.04E-100.5715213440.6280.3181.59E-05Mast_cellsCKLFup
RPL18A8.52E-120.544780060.8240.6594.46E-07Mast_cellsRPL18Aup
C4orf4812.21E-090.5379699310.4840.1590.000115505Mast_cellsC4orf48up
ARL6IP412.10E-090.5359518370.4580.1250.000110083Mast_cellsARL6IP4up
HPGDS3.05E-130.5246921580.8360.6141.60E-08Mast_cellsHPGDSup
KRTCAP26.06E-090.5167674840.4520.1250.000317067Mast_cellsKRTCAP2up
LAT1.24E-080.5128687940.4530.1250.000646922Mast_cellsLATup
ARPC31.77E-110.4945540660.780.59.26E-07Mast_cellsARPC3up
DUSP25.21E-050.4945232580.3890.2051Mast_cellsDUSP2up
TIMP19.13E-100.4921554990.6840.4774.78E-05Mast_cellsTIMP1up
BST21.38E-080.4813128920.5850.330.000720702Mast_cellsBST2up
NEAT111.18E-090.4807388760.7950.6026.18E-05Mast_cellsNEAT1up
CYBA1.03E-070.4801469510.5830.2950.00537711Mast_cellsCYBAup
TOMM63.02E-080.4794717680.4070.0910.001579764Mast_cellsTOMM6up
DDT7.05E-080.4757825710.3620.0910.003690036Mast_cellsDDTup
NDUFC211.32E-070.4692189420.4550.1930.00688898Mast_cellsNDUFC2up
SCGB2A158.36E-070.4676578670.2850.0450.043764132Mast_cellsSCGB2A1up
MICOS107.02E-080.4658969530.4610.1930.003674014Mast_cellsMICOS10up
UBE2S3.06E-070.4630227310.5540.3640.016030402Mast_cellsUBE2Sup
TSPO2.15E-080.4625809260.5710.330.001127703Mast_cellsTSPOup
HIST1H4C19.12E-070.4555013210.5030.2610.047739361Mast_cellsHIST1H4Cup
ARPC1B4.24E-070.4552129040.4710.2050.022222924Mast_cellsARPC1Bup
ATP5F1D2.08E-070.4433014480.5320.2730.010914375Mast_cellsATP5F1Dup
S100A104.38E-070.4421350560.5410.3070.022911217Mast_cellsS100A10up
SERTAD12.18E-060.4397855820.5460.3070.114209886Mast_cellsSERTAD1up
S100A63.76E-200.4372146040.9550.9321.97E-15Mast_cellsS100A6up
SELENOH4.87E-070.4345971920.4440.170.025510246Mast_cellsSELENOHup
WFDC252.59E-050.4281942130.30.1021Mast_cellsWFDC2up
MT2A10.0003541750.4196451920.4510.2731Mast_cellsMT2Aup
GNG57.83E-070.4180749570.4570.1590.041014357Mast_cellsGNG5up
RPL36AL9.43E-120.4161213840.8450.7054.94E-07Mast_cellsRPL36ALup
ARHGAP1811.52E-070.4158488380.6240.3980.007968874Mast_cellsARHGAP18up
POLD42.58E-060.4153173690.3620.1250.134974271Mast_cellsPOLD4up
C9orf161.75E-060.4122840920.4820.2390.091378566Mast_cellsC9orf16up
FAU2.92E-150.4072689820.9520.8641.53E-10Mast_cellsFAUup
CD696.25E-060.4067970070.7560.5340.327201961Mast_cellsCD69up
PHLDA22.00E-050.4063406670.3280.1141Mast_cellsPHLDA2up
CLIC18.42E-130.4054319880.8740.754.41E-08Mast_cellsCLIC1up
HPGD5.94E-110.4027488460.9170.8413.11E-06Mast_cellsHPGDup
IDS1.15E-050.3988538650.480.2390.60305759Mast_cellsIDSup
CD372.60E-090.397688280.80.5910.000136267Mast_cellsCD37up
UQCR114.95E-060.3974582830.5330.3070.259262097Mast_cellsUQCR11up
SAMSN11.41E-080.3950844340.8220.6020.000740377Mast_cellsSAMSN1up
UBXN13.83E-060.3895309270.4940.2730.200376201Mast_cellsUBXN1up
VPS289.21E-070.3862073490.6030.3750.048245314Mast_cellsVPS28up
NDUFA111.01E-050.3836428160.4820.2610.529524217Mast_cellsNDUFA11up
TYROBP2.94E-080.3812335810.7910.6250.001538353Mast_cellsTYROBPup
VAMP82.01E-060.3804659220.60.3860.10539572Mast_cellsVAMP8up
UXT6.74E-060.3783339850.4490.2390.352766071Mast_cellsUXTup
GPX45.30E-080.3776572760.7350.580.002774177Mast_cellsGPX4up
RPL106.48E-160.3757703860.9590.9773.39E-11Mast_cellsRPL10up
HLA-C14.59E-080.3751164410.7810.6250.002401597Mast_cellsHLA-Cup
LDHB2.11E-060.3722854760.6330.4430.110342974Mast_cellsLDHBup
BCL2A10.0001559480.3713427160.3290.1361Mast_cellsBCL2A1up
FCER1G7.93E-110.3699446930.9120.7954.15E-06Mast_cellsFCER1Gup
FXYD53.29E-070.3688224190.840.6140.017251545Mast_cellsFXYD5up
RABAC12.59E-050.3678006520.4670.2611Mast_cellsRABAC1up
COX4I11.69E-090.3669667720.820.6598.83E-05Mast_cellsCOX4I1up
CRIP18.89E-050.365854270.3050.1141Mast_cellsCRIP1up
CD838.86E-070.362627330.7320.6140.046375704Mast_cellsCD83up
ATP6V1G13.86E-060.3615714520.6010.4090.2023308Mast_cellsATP6V1G1up
ABRACL2.92E-050.3608120910.3890.1821Mast_cellsABRACLup
TMEM176B1.99E-050.3603308390.5630.4091Mast_cellsTMEM176Bup
RGS102.04E-060.3589097540.6790.5340.107029508Mast_cellsRGS10up
C17orf499.84E-060.3585748170.3010.080.515324412Mast_cellsC17orf49up
AC020916.13.66E-050.3568534210.610.4321Mast_cellsAC020916.1up
THUMPD3-AS12.09E-050.3561493570.3380.1251Mast_cellsTHUMPD3-AS1up
COX175.61E-050.3534065940.4620.2841Mast_cellsCOX17up
IL187.06E-050.3526976030.4020.2161Mast_cellsIL18up
C18orf321.41E-050.3516634690.3160.1020.740669802Mast_cellsC18orf32up
SCAND12.09E-050.3497695710.3040.1021Mast_cellsSCAND1up
TRAPPC51.25E-050.3484809140.3120.0910.656892713Mast_cellsTRAPPC5up
S100A413.17E-110.3470892740.9390.8411.66E-06Mast_cellsS100A4up
BIRC30.0001936570.3443369210.5660.4431Mast_cellsBIRC3up
SRP143.03E-090.344024430.8310.7270.000158499Mast_cellsSRP14up
NDUFV21.22E-050.3433900730.2970.080.636231689Mast_cellsNDUFV2up
CIAO2B5.75E-050.3413734550.440.2611Mast_cellsCIAO2Bup
SPNS12.00E-050.3412309330.2490.0571Mast_cellsSPNS1up
GABARAPL23.28E-050.3411470880.4880.3071Mast_cellsGABARAPL2up
NACA1.63E-150.3395878780.9540.8648.56E-11Mast_cellsNACAup
RPL222.87E-100.3394418470.8660.7951.50E-05Mast_cellsRPL22up
GTF2B0.000152920.3392580550.3730.1931Mast_cellsGTF2Bup
DNAJB64.60E-050.3366705050.6120.51Mast_cellsDNAJB6up
COX5B1.53E-050.3347430990.5990.3980.80369622Mast_cellsCOX5Bup
SKP17.69E-080.3332682430.7280.6360.004028912Mast_cellsSKP1up
RPS157.13E-130.3299746080.9130.923.73E-08Mast_cellsRPS15up
RPL22L10.0001112770.329608160.4820.2951Mast_cellsRPL22L1up
RPL247.61E-130.3251084840.9290.8983.98E-08Mast_cellsRPL24up
EDF11.03E-050.3221070070.6670.5340.536796435Mast_cellsEDF1up
ZFAS17.58E-060.3220845580.6850.580.39696074Mast_cellsZFAS1up
PSME19.17E-050.321922010.530.3641Mast_cellsPSME1up
IER28.53E-080.3218733180.8760.8410.004468597Mast_cellsIER2up
RHEX7.08E-070.3215589370.8170.6820.037075004Mast_cellsRHEXup
RBM49.95E-050.3212234810.3560.1591Mast_cellsRBM4up
MT1X10.0089454350.3208239690.2080.1021Mast_cellsMT1Xup
DYNLL15.06E-070.317049050.7840.670.026497738Mast_cellsDYNLL1up
IGFLR10.0001049770.3166253560.2690.0911Mast_cellsIGFLR1up
CKS20.0008182820.3165462820.4380.2841Mast_cellsCKS2up
FTL1.14E-170.3143729790.9720.9895.96E-13Mast_cellsFTLup
TMBIM410.0001345930.3125364370.4430.2391Mast_cellsTMBIM4up
CAPG2.73E-070.3112266480.8750.7730.014309866Mast_cellsCAPGup
RPL262.64E-130.310216970.9590.9551.38E-08Mast_cellsRPL26up
MRPS242.55E-050.3085836660.2340.0451Mast_cellsMRPS24up
RPL7A1.18E-120.3071661830.9330.926.19E-08Mast_cellsRPL7Aup
SNHG82.86E-050.3054478630.6270.51Mast_cellsSNHG8up
PSMB105.01E-050.3045059570.2590.0681Mast_cellsPSMB10up
TNF0.0045275830.3041032350.290.1591Mast_cellsTNFup
NDUFB80.0002415470.3039483310.4270.2611Mast_cellsNDUFB8up
COX6A15.01E-050.3037371260.5920.4431Mast_cellsCOX6A1up
GIHCG0.0002313050.3031733960.260.0911Mast_cellsGIHCGup
PRG20.0009896470.3029132150.1840.0451Mast_cellsPRG2up
NEDD80.00016280.3024528840.5350.4091Mast_cellsNEDD8up
RPS261.07E-070.3017124380.7980.7050.005586528Mast_cellsRPS26up
DNAJB116.89E-070.3010243610.8370.7950.036094734Mast_cellsDNAJB1up
PRDX11.41E-060.2996163770.7840.7270.073696864Mast_cellsPRDX1up
FTH11.39E-210.2960431190.99817.29E-17Mast_cellsFTH1up
TOMM50.0001313790.2959706450.2390.0681Mast_cellsTOMM5up
UBB2.92E-160.2958686230.9730.9891.53E-11Mast_cellsUBBup
BTG12.02E-070.2947806630.8450.7610.01057497Mast_cellsBTG1up
TMEM176A0.0006541890.2921870980.3650.2051Mast_cellsTMEM176Aup
ANXA40.0004629310.2920535370.5110.3521Mast_cellsANXA4up
ELOB4.37E-050.2919144560.6440.4891Mast_cellsELOBup
MRPL180.0015745170.2864769830.3610.2271Mast_cellsMRPL18up
FAM133B0.0013480830.2863046970.370.2271Mast_cellsFAM133Bup
PDCD60.0001921580.2862415210.2740.0911Mast_cellsPDCD6up
FIS10.0003688370.2862271570.4820.331Mast_cellsFIS1up
ATP5MG1.09E-050.2852387210.6970.6140.568638773Mast_cellsATP5MGup
TSTD10.0010668930.2836417880.3640.2161Mast_cellsTSTD1up
MALAT11.91E-150.2833843860.99911.00E-10Mast_cellsMALAT1up
BEX40.00033940.2833313970.5090.3411Mast_cellsBEX4up
LYL10.0006668260.2832178470.3630.1821Mast_cellsLYL1up
DRAP10.0002347170.2831071040.5490.4091Mast_cellsDRAP1up
PET1000.0004230210.2820440910.3230.1481Mast_cellsPET100up
SUPT4H10.0002257870.2816457660.250.081Mast_cellsSUPT4H1up
NDUFB70.000568740.2813655390.370.2051Mast_cellsNDUFB7up
SAT16.01E-090.279433470.9110.8860.000314551Mast_cellsSAT1up
NDUFA41.39E-060.2791281230.7860.7050.072763047Mast_cellsNDUFA4up
MPG0.000280190.2791206490.3040.1251Mast_cellsMPGup
ANKRD280.0018315290.2783292920.4520.3181Mast_cellsANKRD28up
ANAPC160.000842760.2779195850.4470.3071Mast_cellsANAPC16up
DBI0.000176390.2764775170.6170.5341Mast_cellsDBIup
PYCARD0.0002798250.2762182840.4330.2391Mast_cellsPYCARDup
HIGD2A0.0014096710.2747788790.4030.2731Mast_cellsHIGD2Aup
GPR650.0031521970.2741043930.4520.3181Mast_cellsGPR65up
ATP5F1C0.0003283260.2734212450.5550.4431Mast_cellsATP5F1Cup
DNAJA12.71E-090.2726270330.9150.8750.000141714Mast_cellsDNAJA1up
PSMA70.0001655730.2717426040.6320.5341Mast_cellsPSMA7up
PPP1R20.0025966170.2698490320.3690.251Mast_cellsPPP1R2up
A1BG7.08E-050.2691933550.1920.0231Mast_cellsA1BGup
ATP6V0B0.0004392770.269089420.5780.4551Mast_cellsATP6V0Bup
CCDC590.0021961760.268535060.4210.2951Mast_cellsCCDC59up
NXT10.001477420.2671271460.3640.2161Mast_cellsNXT1up
SPINT20.0010707650.2667695060.4440.2841Mast_cellsSPINT2up
COX7A20.000353580.2649406590.5970.51Mast_cellsCOX7A2up
ANAPC110.0015974110.2644506490.3630.2271Mast_cellsANAPC11up
OSTF10.0008831940.2644002980.3260.1591Mast_cellsOSTF1up
LGALS315.40E-050.2643668120.7320.6821Mast_cellsLGALS3up
UBE2V10.0006596310.2613812820.2740.1141Mast_cellsUBE2V1up
CST70.0023952140.2609689560.3440.1931Mast_cellsCST7up
CST32.06E-050.260730650.7270.6591Mast_cellsCST3up
NDST20.0021459990.2605867080.2590.1251Mast_cellsNDST2up
PSMA20.0018091940.2603422580.3650.2271Mast_cellsPSMA2up
GPS20.0004273660.2596964820.2240.0681Mast_cellsGPS2up
SNX60.0028210640.2583780880.360.2391Mast_cellsSNX6up
NDUFB100.001131050.2581815580.4630.3071Mast_cellsNDUFB10up
CHMP4A0.0004284140.2572130450.2440.081Mast_cellsCHMP4Aup
PSMA10.001797370.2564200470.3360.1931Mast_cellsPSMA1up
G3BP20.0013948030.2555956530.5680.4431Mast_cellsG3BP2up
RPL283.40E-120.2555478160.9610.9551.78E-07Mast_cellsRPL28up
AGTRAP0.0012252020.2553357430.3560.1821Mast_cellsAGTRAPup
ATP6V1F0.0002290560.2552344520.6980.581Mast_cellsATP6V1Fup
SUB16.18E-060.2548868550.7910.7160.323329968Mast_cellsSUB1up
CD912.71E-060.2547584090.8240.7730.142034076Mast_cellsCD9up
COX160.0003213420.2513984410.1980.0451Mast_cellsCOX16up
NUTM2A-AS10.0014180120.2509005810.2850.1361Mast_cellsNUTM2A-AS1up
NDUFA710.0002003220.2508665180.2090.0451Mast_cellsNDUFA7up
NFKBIA7.55E-120.2508616230.9650.9433.95E-07Mast_cellsNFKBIAup
AL157895.10.0005007630.2503874710.6430.5681Mast_cellsAL157895.1up
NME30.0014781360.2501857930.3180.171Mast_cellsNME3up
PAPSS21.65E-12-0.2500956730.0570.2618.66E-08Mast_cellsPAPSS2down
FOXL2NB6.82E-13-0.2501670510.0560.2613.57E-08Mast_cellsFOXL2NBdown
IFITM29.49E-07-0.2502021170.7650.9090.049677547Mast_cellsIFITM2down
RAI13.24E-06-0.2508245240.1130.2840.169570873Mast_cellsRAI1down
ZBTB386.68E-05-0.250862740.2660.4771Mast_cellsZBTB38down
CTTN2.22E-08-0.2508658640.1140.3180.001164256Mast_cellsCTTNdown
CAPZA10.000175077-0.2510724730.3530.5451Mast_cellsCAPZA1down
ACTN18.72E-07-0.2510750460.1170.2950.045658513Mast_cellsACTN1down
RERE0.000120046-0.2510918410.2950.4891Mast_cellsREREdown
FADS21.71E-07-0.2511495270.1060.2950.00894561Mast_cellsFADS2down
TOB21.36E-05-0.2512816720.240.4660.711016982Mast_cellsTOB2down
SMARCC15.28E-06-0.2516664350.2330.4660.276360516Mast_cellsSMARCC1down
DDX426.10E-05-0.2518230620.20.3751Mast_cellsDDX42down
NORAD0.000113105-0.2518772390.4810.6821Mast_cellsNORADdown
SP11.07E-07-0.2518820160.1080.3070.005612604Mast_cellsSP1down
JAZF13.66E-07-0.251965120.1650.3980.019181209Mast_cellsJAZF1down
TBC1D53.64E-10-0.2520190230.1230.3751.90E-05Mast_cellsTBC1D5down
VEGFA0.000467551-0.2526585130.450.671Mast_cellsVEGFAdown
PABPC13.33E-09-0.2530968350.8740.9770.000174507Mast_cellsPABPC1down
TPM26.08E-07-0.2535006770.1740.4090.031829192Mast_cellsTPM2down
NONO0.000211669-0.2538760930.3870.6021Mast_cellsNONOdown
ARHGAP15.01E-06-0.2539453110.1220.2950.262392258Mast_cellsARHGAP1down
MACF10.000161703-0.2540006580.3170.5111Mast_cellsMACF1down
BTBD32.60E-11-0.2542548710.0640.2611.36E-06Mast_cellsBTBD3down
SCAP4.74E-07-0.254345580.0750.2270.024813149Mast_cellsSCAPdown
C16orf724.97E-06-0.2544703490.1870.3980.260414643Mast_cellsC16orf72down
EGR117.23E-07-0.2545871740.8550.9320.037837379Mast_cellsEGR1down
LSM14A1.36E-05-0.2546354560.2950.5340.713521574Mast_cellsLSM14Adown
ADGRA22.05E-09-0.2546633940.0960.3070.000107418Mast_cellsADGRA2down
MT-TF1.73E-11-0.2547631730.0730.2959.05E-07Mast_cellsMT-TFdown
LCOR4.13E-08-0.2548432130.1010.2950.00216201Mast_cellsLCORdown
LRRC581.34E-05-0.2549563190.110.2610.703950679Mast_cellsLRRC58down
RAB1A0.000207835-0.2549766720.3580.5451Mast_cellsRAB1Adown
PHLDB12.26E-08-0.2556868750.10.2950.001182298Mast_cellsPHLDB1down
MT-ND21.62E-16-0.2557380850.99418.47E-12Mast_cellsMT-ND2down
CYB5R33.92E-05-0.2557996830.3040.5341Mast_cellsCYB5R3down
PCYOX11.81E-06-0.2563342840.1550.3520.094928965Mast_cellsPCYOX1down
PDLIM13.34E-07-0.2563867880.0910.2610.017492455Mast_cellsPDLIM1down
RPS13P21.32E-10-0.2565230120.0470.2166.89E-06Mast_cellsRPS13P2down
AR1.38E-05-0.2568075740.1390.3070.723167569Mast_cellsARdown
VASN6.02E-09-0.2568112070.0780.2610.000315062Mast_cellsVASNdown
DUSP84.49E-08-0.2570822160.0940.2840.002350064Mast_cellsDUSP8down
SNX12.57E-06-0.2581104150.1630.3640.134456427Mast_cellsSNX1down
MT-ND11.81E-20-0.2583860970.9919.49E-16Mast_cellsMT-ND1down
ADAM331.91E-08-0.2585143220.0870.2730.000998312Mast_cellsADAM33down
CDK169.36E-10-0.2586393170.0770.2734.90E-05Mast_cellsCDK16down
HNRNPM0.000109997-0.2591824420.5450.7731Mast_cellsHNRNPMdown
GNLY13.91E-09-0.2592997340.030.1590.000204959Mast_cellsGNLYdown
CCN16.19E-06-0.2593514650.1560.3520.323938804Mast_cellsCCN1down
MFGE81.46E-06-0.2594090160.1450.3410.07666062Mast_cellsMFGE8down
MAP7D15.88E-06-0.2594510570.2080.420.307688447Mast_cellsMAP7D1down
GALNT17.63E-06-0.2600172460.1940.3980.399315348Mast_cellsGALNT1down
SLC25A371.39E-07-0.260038130.1250.330.007257633Mast_cellsSLC25A37down
SPTAN14.50E-06-0.2601162880.230.4550.235526403Mast_cellsSPTAN1down
C14orf1322.49E-08-0.2601556810.0940.2840.00130588Mast_cellsC14orf132down
EMC106.16E-06-0.2602243790.2750.5110.322690437Mast_cellsEMC10down
MAGT15.25E-06-0.2602341640.1770.3750.274832681Mast_cellsMAGT1down
TWSG11.31E-08-0.2602568780.1110.3180.000683392Mast_cellsTWSG1down
PTEN6.67E-06-0.2603517410.2480.4770.349242139Mast_cellsPTENdown
RELA5.64E-06-0.2604611710.2480.4890.295089099Mast_cellsRELAdown
MAP1B4.11E-08-0.260732830.1240.3410.002153747Mast_cellsMAP1Bdown
PDS5B5.38E-06-0.2609115020.1770.3750.281641647Mast_cellsPDS5Bdown
ABL15.33E-07-0.2610474270.1210.3070.027926451Mast_cellsABL1down
GPX11.60E-08-0.2610687290.0990.3070.00083707Mast_cellsGPX1down
CTSK2.02E-06-0.2613537970.1460.3410.105715002Mast_cellsCTSKdown
TAF62.93E-09-0.2618611780.1040.3180.000153456Mast_cellsTAF6down
EP3001.28E-05-0.2621751720.2520.4660.66997559Mast_cellsEP300down
ACTR20.000190835-0.2625002840.4430.671Mast_cellsACTR2down
TRAM13.33E-05-0.2626438680.3120.5341Mast_cellsTRAM1down
FAM120A1.02E-05-0.2628212710.2620.50.533627437Mast_cellsFAM120Adown
SNORD3A1.24E-09-0.2629665910.0650.256.50E-05Mast_cellsSNORD3Adown
CLIP32.48E-14-0.2630545840.0550.2731.30E-09Mast_cellsCLIP3down
SBNO17.14E-06-0.2638094840.1440.3180.373627367Mast_cellsSBNO1down
SEC138.52E-07-0.2641433560.1860.4090.04459087Mast_cellsSEC13down
RANBP25.85E-05-0.264653480.2690.4661Mast_cellsRANBP2down
HNRNPR5.38E-05-0.2647803840.4360.6591Mast_cellsHNRNPRdown
DYNC1H11.89E-05-0.2649931710.2560.4660.990218061Mast_cellsDYNC1H1down
KDM5C1.21E-06-0.2650995470.1730.3860.063189576Mast_cellsKDM5Cdown
TMEM2147.47E-07-0.2651781510.1280.3180.03910244Mast_cellsTMEM214down
NUTF21.69E-05-0.2652690830.2270.4320.884212148Mast_cellsNUTF2down
NXF11.52E-07-0.2652947690.1820.4320.007980174Mast_cellsNXF1down
EMX21.01E-06-0.2654448790.1450.3410.052680226Mast_cellsEMX2down
CCBE19.22E-08-0.2654522570.0940.2730.004825815Mast_cellsCCBE1down
JMJD1C0.000265188-0.265572880.3990.6021Mast_cellsJMJD1Cdown
WLS1.56E-06-0.2656114890.1230.2950.081907529Mast_cellsWLSdown
CLSTN17.25E-07-0.2656494230.160.3640.037982774Mast_cellsCLSTN1down
EFEMP28.36E-08-0.2659658030.1370.3520.004376173Mast_cellsEFEMP2down
EI241.64E-06-0.266132240.1780.3860.085969078Mast_cellsEI24down
WBP114.31E-05-0.2662863730.3460.581Mast_cellsWBP11down
DAXX5.39E-08-0.2663576570.1090.3070.002822906Mast_cellsDAXXdown
ZC3HAV15.13E-06-0.2663719990.2520.4890.268627636Mast_cellsZC3HAV1down
EIF4A1P101.45E-11-0.2666985710.0740.2957.61E-07Mast_cellsEIF4A1P10down
NT5DC21.78E-05-0.2681270140.2210.420.933657918Mast_cellsNT5DC2down
NCOR20.000161608-0.2681650190.2930.4771Mast_cellsNCOR2down
CARM16.04E-10-0.2686784890.0980.3183.16E-05Mast_cellsCARM1down
RHOQ1.54E-07-0.268714490.1710.4090.008056Mast_cellsRHOQdown
STIM17.88E-09-0.2687339490.130.3640.000412329Mast_cellsSTIM1down
ANK25.51E-11-0.2689694570.0470.2162.89E-06Mast_cellsANK2down
COPB26.95E-06-0.269391410.2740.5110.363700344Mast_cellsCOPB2down
RAD23B2.82E-05-0.2696466780.3040.5231Mast_cellsRAD23Bdown
PITPNA3.89E-09-0.2697636480.1170.3410.000203444Mast_cellsPITPNAdown
TRIP67.20E-10-0.2698240010.1060.333.77E-05Mast_cellsTRIP6down
AGO21.58E-07-0.2700115940.1150.3070.008270053Mast_cellsAGO2down
GABARAPL14.87E-06-0.2704754290.1990.4090.25484613Mast_cellsGABARAPL1down
RPN12.77E-05-0.2704995940.2170.4091Mast_cellsRPN1down
RBM253.69E-05-0.2711506330.5150.7271Mast_cellsRBM25down
IPO71.11E-07-0.2712022190.1840.4320.005789525Mast_cellsIPO7down
TRIM562.08E-08-0.2713705720.1370.3640.001088138Mast_cellsTRIM56down
PTPN141.29E-19-0.2714801770.040.2736.74E-15Mast_cellsPTPN14down
MEIS16.50E-09-0.2717002810.0970.2950.000340344Mast_cellsMEIS1down
STAT61.86E-08-0.2717306610.1090.3180.000971993Mast_cellsSTAT6down
TPBG1.69E-09-0.2720811680.1210.3528.87E-05Mast_cellsTPBGdown
CLTC1.01E-05-0.2728675240.260.4890.527534419Mast_cellsCLTCdown
COPG15.32E-08-0.2729080060.1430.3640.002785853Mast_cellsCOPG1down
APOD3.76E-10-0.2735541770.10.331.97E-05Mast_cellsAPODdown
KANK23.69E-06-0.2742650290.2370.4770.193299164Mast_cellsKANK2down
MED12.14E-08-0.2745576960.1060.3070.00112183Mast_cellsMED1down
PEA157.25E-08-0.2745761320.1560.3860.003798149Mast_cellsPEA15down
TUNAR12.96E-12-0.2746250510.050.2391.55E-07Mast_cellsTUNARdown
BRD27.55E-05-0.2747766970.5530.7611Mast_cellsBRD2down
MARVELD18.54E-08-0.2753480160.1140.3070.004469968Mast_cellsMARVELD1down
NFE2L12.76E-08-0.2761176830.180.4430.001446277Mast_cellsNFE2L1down
SEPTIN94.14E-06-0.2761416050.3580.6480.217021865Mast_cellsSEPTIN9down
RAP2B1.40E-07-0.2762400730.1630.3980.007304849Mast_cellsRAP2Bdown
PRKCSH3.77E-06-0.2762930640.2520.4890.19724617Mast_cellsPRKCSHdown
TNC14.35E-10-0.2768076660.0740.2732.28E-05Mast_cellsTNCdown
TCEAL97.04E-08-0.2768627420.1560.3860.003686565Mast_cellsTCEAL9down
PRXL2A1.64E-05-0.2769748790.1830.3640.857937972Mast_cellsPRXL2Adown
EIF4G11.69E-06-0.2774218990.2090.4320.088335217Mast_cellsEIF4G1down
TIAL13.15E-06-0.2774966380.2370.4660.16485676Mast_cellsTIAL1down
PSME31.12E-08-0.2776676580.1460.3860.000588844Mast_cellsPSME3down
ARHGEF401.25E-06-0.2790782390.2150.4550.065218898Mast_cellsARHGEF40down
UBXN75.60E-07-0.2797457690.1070.2840.029316979Mast_cellsUBXN7down
MAFF10.000136436-0.2798632940.2750.4661Mast_cellsMAFFdown
MAN1A25.11E-07-0.2807001760.1890.420.026772442Mast_cellsMAN1A2down
RAB1B3.76E-07-0.2808959770.2060.4550.019677002Mast_cellsRAB1Bdown
TEAD24.95E-10-0.2810917030.0820.2842.59E-05Mast_cellsTEAD2down
CREB3L21.52E-05-0.2811290490.2590.4770.79572524Mast_cellsCREB3L2down
WDR827.79E-06-0.2812841580.2260.4320.407917534Mast_cellsWDR82down
EIF2S33.08E-05-0.2813238750.4930.7271Mast_cellsEIF2S3down
SPN1.25E-05-0.2814214680.1440.3180.652797059Mast_cellsSPNdown
APOBEC3C7.54E-06-0.2816041380.2610.50.394672505Mast_cellsAPOBEC3Cdown
ACTN44.31E-05-0.2816716930.4760.6821Mast_cellsACTN4down
CLEC11A1.08E-07-0.2817602660.1580.3860.005664674Mast_cellsCLEC11Adown
CTSB4.72E-05-0.2823897560.5290.7731Mast_cellsCTSBdown
RNF103.21E-07-0.2825772210.2070.4550.016792872Mast_cellsRNF10down
EPN15.18E-07-0.2826601920.160.3640.02712304Mast_cellsEPN1down
CERS23.57E-06-0.2829175750.260.50.186736108Mast_cellsCERS2down
SDC31.18E-10-0.2830865380.10.336.16E-06Mast_cellsSDC3down
PRICKLE29.84E-12-0.2831030660.0770.2955.15E-07Mast_cellsPRICKLE2down
ABCG14.32E-12-0.2835848010.0530.252.26E-07Mast_cellsABCG1down
ITGA54.76E-13-0.2836097360.0830.332.49E-08Mast_cellsITGA5down
ARF19.11E-07-0.2838234470.6680.8750.047705006Mast_cellsARF1down
MTSS21.36E-15-0.2839084380.0430.257.13E-11Mast_cellsMTSS2down
TEAD11.16E-10-0.2840053970.1010.336.08E-06Mast_cellsTEAD1down
FKBP103.62E-07-0.2840190970.1460.3520.018957551Mast_cellsFKBP10down
TCF7L22.37E-08-0.2840447730.1080.3070.001238937Mast_cellsTCF7L2down
RCC26.68E-08-0.2844727180.1750.420.003497464Mast_cellsRCC2down
AL355309.18.11E-13-0.2846545310.0620.2844.24E-08Mast_cellsAL355309.1down
ELMSAN12.03E-07-0.2847977240.1640.3860.01060782Mast_cellsELMSAN1down
MAVS1.57E-09-0.2850286580.1030.3188.23E-05Mast_cellsMAVSdown
FJX11.51E-09-0.2851162130.0950.3077.88E-05Mast_cellsFJX1down
COPA2.86E-05-0.2854403220.310.5111Mast_cellsCOPAdown
ERN11.45E-07-0.2855807350.1570.3750.007598147Mast_cellsERN1down
PGBD59.86E-08-0.2859034850.1380.3520.005162554Mast_cellsPGBD5down
TSKU6.62E-10-0.2863879970.0940.3073.47E-05Mast_cellsTSKUdown
RND37.51E-07-0.2865154370.1280.3180.039325495Mast_cellsRND3down
PUM11.51E-06-0.2865841010.2390.4770.078892719Mast_cellsPUM1down
MTND2P286.82E-09-0.2868505610.1140.3410.000356852Mast_cellsMTND2P28down
SELENOP25.87E-07-0.2871431340.1780.3980.030734074Mast_cellsSELENOPdown
SMOC26.69E-11-0.2871574070.0670.2613.50E-06Mast_cellsSMOC2down
EIF4A25.38E-06-0.2871893380.6660.8860.281702783Mast_cellsEIF4A2down
RPL13AP52.08E-17-0.2881534950.030.2271.09E-12Mast_cellsRPL13AP5down
RBPMS3.61E-08-0.2886248490.1220.330.001888666Mast_cellsRBPMSdown
ADD12.67E-06-0.2887878490.2890.5450.139891903Mast_cellsADD1down
ABHD23.61E-06-0.289840420.2210.4430.188822102Mast_cellsABHD2down
BMP11.65E-09-0.2900344730.1230.3528.63E-05Mast_cellsBMP1down
EIF2AK23.23E-07-0.2902726170.2160.4660.016893928Mast_cellsEIF2AK2down
CD1644.27E-06-0.2904877290.3430.6140.223611532Mast_cellsCD164down
TUBB5.82E-06-0.2909689940.5360.7840.304621052Mast_cellsTUBBdown
EEF21.11E-07-0.2910507460.7370.9430.005809769Mast_cellsEEF2down
CFAP204.45E-08-0.2910912260.1590.3980.002329947Mast_cellsCFAP20down
CLPTM11.08E-07-0.2920696970.170.3980.005678294Mast_cellsCLPTM1down
ARF65.20E-06-0.2923058240.4850.7610.272033911Mast_cellsARF6down
CEBPB5.23E-05-0.2926566640.3910.5911Mast_cellsCEBPBdown
BCL9L1.26E-11-0.2928367570.0770.2956.61E-07Mast_cellsBCL9Ldown
GPI2.11E-05-0.2929435660.1970.3751Mast_cellsGPIdown
PGD4.61E-07-0.293112030.2010.4320.024130481Mast_cellsPGDdown
AC024293.17.55E-10-0.2933602120.0970.3183.95E-05Mast_cellsAC024293.1down
PTMAP51.15E-09-0.2934310460.1070.3416.00E-05Mast_cellsPTMAP5down
TGM212.07E-06-0.2938207970.1280.3070.108299839Mast_cellsTGM2down
PTBP33.56E-06-0.2944236530.2650.5110.186378678Mast_cellsPTBP3down
ZCCHC244.09E-07-0.2947292170.1220.3070.021440817Mast_cellsZCCHC24down
BSDC14.80E-09-0.2947763950.1680.4320.000251336Mast_cellsBSDC1down
GRINA8.57E-08-0.2950091510.2050.4660.004487259Mast_cellsGRINAdown
KLF97.39E-08-0.2960132290.1180.3180.003871314Mast_cellsKLF9down
COL15A17.62E-11-0.2960938850.0750.2843.99E-06Mast_cellsCOL15A1down
QSOX19.61E-11-0.2962607010.1040.3415.03E-06Mast_cellsQSOX1down
ARID1A4.88E-06-0.2963005050.2880.5230.255442553Mast_cellsARID1Adown
HNRNPL5.91E-06-0.2963767430.3050.5450.309651448Mast_cellsHNRNPLdown
EIF4G31.05E-06-0.2964470440.1990.420.055169487Mast_cellsEIF4G3down
CD2482.87E-07-0.2964851160.140.3410.015040392Mast_cellsCD248down
IRF2BPL1.92E-06-0.2964861410.2330.4770.100433416Mast_cellsIRF2BPLdown
LPP2.34E-07-0.2970130240.1330.330.012243936Mast_cellsLPPdown
MLLT14.03E-07-0.2972142990.1820.4090.021112197Mast_cellsMLLT1down
LAMC11.13E-08-0.2975129020.0930.2840.000593135Mast_cellsLAMC1down
QPRT5.36E-08-0.2985978070.1930.4430.002804128Mast_cellsQPRTdown
SSR14.68E-07-0.2986717360.240.4890.024515354Mast_cellsSSR1down
PPP2R2C6.71E-10-0.2988651040.0780.2733.51E-05Mast_cellsPPP2R2Cdown
SLC16A113.65E-10-0.299327080.0810.2841.91E-05Mast_cellsSLC16A1down
EHD28.09E-11-0.2993766210.0950.3184.24E-06Mast_cellsEHD2down
TIPARP2.24E-05-0.29951860.4210.6481Mast_cellsTIPARPdown
MYADM1.52E-06-0.299635690.740.9090.07954045Mast_cellsMYADMdown
CRISPLD23.88E-10-0.3007062360.0860.2952.03E-05Mast_cellsCRISPLD2down
DPY19L19.13E-09-0.3007254660.1160.330.00047783Mast_cellsDPY19L1down
LAPTM4B2.35E-07-0.3008221430.2020.4430.012307668Mast_cellsLAPTM4Bdown
CANX5.62E-06-0.3008440450.6020.7730.294265253Mast_cellsCANXdown
EIF3A1.63E-05-0.3016668110.4250.6590.855413698Mast_cellsEIF3Adown
RBM54.75E-07-0.3019253380.220.4660.024854566Mast_cellsRBM5down
NRP11.63E-08-0.3020123950.1430.3640.000851261Mast_cellsNRP1down
LTBP31.64E-07-0.3024767730.1390.3410.008566349Mast_cellsLTBP3down
YWHAG1.36E-07-0.3032689010.2480.5230.007114918Mast_cellsYWHAGdown
ZYG11B3.96E-12-0.303285350.0960.3412.07E-07Mast_cellsZYG11Bdown
SPON11.07E-09-0.3033093770.1330.3755.61E-05Mast_cellsSPON1down
PLXNB26.70E-11-0.3035912540.1010.333.51E-06Mast_cellsPLXNB2down
CCNL25.44E-07-0.3039636140.2040.4320.028474145Mast_cellsCCNL2down
PABPN13.96E-07-0.303986410.2430.4890.020739879Mast_cellsPABPN1down
DDB13.78E-07-0.30410040.2090.4430.019767958Mast_cellsDDB1down
ADAMTS916.28E-12-0.3042215210.0960.3413.29E-07Mast_cellsADAMTS9down
CNP9.52E-12-0.304804160.1130.3754.98E-07Mast_cellsCNPdown
MT-ND52.81E-15-0.305086390.97111.47E-10Mast_cellsMT-ND5down
GREB11.24E-14-0.3055422270.0650.2956.47E-10Mast_cellsGREB1down
RPS3AP473.56E-14-0.3057115890.0490.2611.86E-09Mast_cellsRPS3AP47down
MT-TD1.31E-14-0.3058267250.060.2956.84E-10Mast_cellsMT-TDdown
TIA11.41E-08-0.3059016850.1960.4660.000738515Mast_cellsTIA1down
BASP11.57E-05-0.3061719150.3550.580.824045884Mast_cellsBASP1down
RBBP68.33E-06-0.30673740.3750.6020.436054251Mast_cellsRBBP6down
MSL15.80E-07-0.3072987480.1540.3520.030373003Mast_cellsMSL1down
EIF4H3.82E-06-0.3088955160.4580.7160.200135614Mast_cellsEIF4Hdown
DST1.36E-05-0.3090122850.2270.420.713623646Mast_cellsDSTdown
SREK11.19E-06-0.3097083980.2540.4890.062550505Mast_cellsSREK1down
TLE54.31E-06-0.3098299190.4440.6820.225713942Mast_cellsTLE5down
SNHG164.32E-08-0.3107051370.1820.420.002262096Mast_cellsSNHG16down
MEST5.74E-09-0.3107477130.0960.2950.000300611Mast_cellsMESTdown
SERPINE12.19E-09-0.3113125650.0590.2270.000114508Mast_cellsSERPINE1down
PARVA5.85E-11-0.3116339520.1170.3643.06E-06Mast_cellsPARVAdown
WT11.64E-10-0.3119024090.1020.338.60E-06Mast_cellsWT1down
BCAS12.95E-15-0.3124883620.0520.2731.55E-10Mast_cellsBCAS1down
RAB11B1.56E-06-0.3132252230.3040.5570.081923297Mast_cellsRAB11Bdown
ZEB17.85E-13-0.3132625170.0820.3184.11E-08Mast_cellsZEB1down
IGFBP226.95E-05-0.3135811690.1820.3521Mast_cellsIGFBP2down
COL12A12.23E-12-0.3137570980.060.2611.17E-07Mast_cellsCOL12A1down
TMEM987.98E-10-0.3145416330.1370.3864.18E-05Mast_cellsTMEM98down
REV3L5.42E-06-0.3150815590.2840.5110.28359626Mast_cellsREV3Ldown
BMPR21.13E-08-0.315377670.1590.3980.000593228Mast_cellsBMPR2down
HPSE22.18E-19-0.3158222220.0440.2841.14E-14Mast_cellsHPSE2down
PRDM11.58E-12-0.3158256590.0890.338.25E-08Mast_cellsPRDM1down
TSHZ31.23E-14-0.3163243520.0780.336.45E-10Mast_cellsTSHZ3down
HSPB611.88E-06-0.3165178410.1540.3520.098610842Mast_cellsHSPB6down
CS1.90E-09-0.3171324660.1440.3989.95E-05Mast_cellsCSdown
RAB7A1.25E-06-0.3172724360.5240.7730.065272664Mast_cellsRAB7Adown
UBE3A1.05E-06-0.317296480.2750.5230.054953707Mast_cellsUBE3Adown
SURF41.02E-08-0.3182328370.2460.5450.000536138Mast_cellsSURF4down
SHISA51.92E-09-0.3191312470.1660.4320.000100467Mast_cellsSHISA5down
UBE2R21.93E-07-0.3198797230.3190.6020.010120226Mast_cellsUBE2R2down
KLF101.34E-05-0.3204066640.4520.6930.701922848Mast_cellsKLF10down
ANGPTL24.79E-13-0.3204113370.0710.2952.51E-08Mast_cellsANGPTL2down
LRP17.41E-09-0.3204505790.1540.3860.000387841Mast_cellsLRP1down
ADAR2.75E-07-0.3209802930.2260.4550.014415373Mast_cellsADARdown
ANXA51.52E-05-0.3216756120.5080.670.79708094Mast_cellsANXA5down
BRD41.17E-07-0.3218249540.3450.6590.006132349Mast_cellsBRD4down
G6PC31.31E-09-0.3224691270.1380.3756.84E-05Mast_cellsG6PC3down
FLRT28.53E-14-0.3226445080.0830.334.46E-09Mast_cellsFLRT2down
MLXIP7.24E-12-0.3239017430.1310.4093.79E-07Mast_cellsMLXIPdown
RORB1.31E-07-0.3243863480.150.3750.006847811Mast_cellsRORBdown
ZKSCAN16.21E-08-0.3247742390.1990.4430.003248929Mast_cellsZKSCAN1down
NUCKS11.34E-07-0.3248435030.5670.830.007036Mast_cellsNUCKS1down
PBX12.51E-06-0.3252335770.4910.7270.131296537Mast_cellsPBX1down
DBN13.09E-08-0.3252812540.1650.3980.001618307Mast_cellsDBN1down
LEF114.06E-18-0.3252982430.0620.332.13E-13Mast_cellsLEF1down
SEMA5A1.62E-11-0.3255356260.0780.2958.50E-07Mast_cellsSEMA5Adown
RBFOX21.27E-10-0.3272799360.1550.4326.64E-06Mast_cellsRBFOX2down
STT3B1.66E-08-0.3274676460.2050.4660.000868755Mast_cellsSTT3Bdown
GLG11.31E-10-0.3284760160.1370.3986.84E-06Mast_cellsGLG1down
PTBP11.47E-06-0.328535570.340.6020.0767664Mast_cellsPTBP1down
CLMP3.73E-12-0.3297123250.1140.3751.96E-07Mast_cellsCLMPdown
GALNT26.85E-10-0.3299406150.120.3523.58E-05Mast_cellsGALNT2down
CHMP4B2.90E-07-0.3301708310.310.5910.01520107Mast_cellsCHMP4Bdown
NDN1.91E-07-0.330632350.1760.3980.009997697Mast_cellsNDNdown
IL6ST1.75E-08-0.3323119240.2170.4770.000918718Mast_cellsIL6STdown
ATF42.88E-07-0.3332815030.4370.7270.01509647Mast_cellsATF4down
RNF1306.83E-07-0.333660620.4040.670.035769676Mast_cellsRNF130down
TAB24.42E-09-0.3347675050.1770.4430.00023167Mast_cellsTAB2down
TMED107.49E-07-0.335049480.4470.6250.039227126Mast_cellsTMED10down
EMP13.70E-12-0.3353633420.0690.2841.94E-07Mast_cellsEMP1down
CHST145.31E-14-0.3360147570.090.3522.78E-09Mast_cellsCHST14down
IGFBP71.74E-05-0.3361272080.3430.5680.910910803Mast_cellsIGFBP7down
ERGIC12.93E-10-0.3363483530.2120.5231.53E-05Mast_cellsERGIC1down
AKT23.94E-09-0.3369950250.1490.3860.000206433Mast_cellsAKT2down
LENG81.39E-08-0.3384904990.2250.5110.00072914Mast_cellsLENG8down
RPL34P273.78E-14-0.3404027350.0950.3751.98E-09Mast_cellsRPL34P27down
TPP14.94E-07-0.3405013770.3010.5680.025845475Mast_cellsTPP1down
SND17.94E-09-0.3405915030.2190.4890.000415533Mast_cellsSND1down
ACO22.05E-09-0.3409633960.1790.4430.000107222Mast_cellsACO2down
SCARB22.99E-09-0.3425316270.1710.420.000156474Mast_cellsSCARB2down
LOXL21.27E-12-0.3440672640.0730.2956.66E-08Mast_cellsLOXL2down
YWHAE1.54E-09-0.3447894780.6490.8758.06E-05Mast_cellsYWHAEdown
DDR28.54E-10-0.3456928190.1350.3754.47E-05Mast_cellsDDR2down
RPL7P91.41E-12-0.3458860990.1060.3757.40E-08Mast_cellsRPL7P9down
ZBTB7A1.27E-07-0.3464979460.3030.5680.006661604Mast_cellsZBTB7Adown
AL590867.26.65E-14-0.3465545420.0840.3413.48E-09Mast_cellsAL590867.2down
AMOTL25.50E-16-0.3467324720.0640.3072.88E-11Mast_cellsAMOTL2down
GANAB2.83E-08-0.3468429790.2010.4430.001481643Mast_cellsGANABdown
SHFL9.62E-09-0.346856270.1760.420.000503588Mast_cellsSHFLdown
PDGFRA2.51E-13-0.3470888350.1120.3861.32E-08Mast_cellsPDGFRAdown
HDAC75.67E-13-0.347366140.1070.3752.97E-08Mast_cellsHDAC7down
SPTLC21.00E-10-0.3479101730.1380.3985.25E-06Mast_cellsSPTLC2down
ATXN11.96E-08-0.3489950060.260.5570.001023623Mast_cellsATXN1down
PCBP28.54E-08-0.3490896840.5350.7610.004473202Mast_cellsPCBP2down
CALU8.93E-07-0.3492034750.3550.6020.046751726Mast_cellsCALUdown
SRF1.16E-10-0.3498258290.1130.3526.09E-06Mast_cellsSRFdown
ADAM1211.60E-06-0.3500550350.2450.4550.08401966Mast_cellsADAM12down
OLFM17.74E-12-0.3502969980.1010.3414.05E-07Mast_cellsOLFM1down
SSBP36.62E-07-0.3511215980.2890.5340.034642468Mast_cellsSSBP3down
SMARCA26.74E-08-0.3514828220.2460.5110.003527851Mast_cellsSMARCA2down
ZFP3624.49E-08-0.353350480.760.8980.002350554Mast_cellsZFP36down
GPX81.92E-12-0.3540577520.1250.3981.00E-07Mast_cellsGPX8down
MT-ND4L1.93E-13-0.3542751610.8550.9771.01E-08Mast_cellsMT-ND4Ldown
ATXN2L2.42E-08-0.3543299280.2380.5110.001268824Mast_cellsATXN2Ldown
RPL311.57E-16-0.3545752240.8940.9898.24E-12Mast_cellsRPL31down
IL3211.21E-12-0.3548754330.0960.3526.36E-08Mast_cellsIL32down
SULF23.29E-10-0.3563383630.1510.4091.72E-05Mast_cellsSULF2down
ATN12.07E-08-0.3572243010.2390.5230.001081385Mast_cellsATN1down
PRRX12.56E-11-0.3586769220.1480.4321.34E-06Mast_cellsPRRX1down
PRRC2B1.15E-09-0.3588458230.2150.56.04E-05Mast_cellsPRRC2Bdown
HAND2-AS15.39E-15-0.3595686320.1110.4092.82E-10Mast_cellsHAND2-AS1down
ESR18.57E-10-0.3596185580.1880.4664.49E-05Mast_cellsESR1down
WNT23.12E-13-0.3601762620.1040.3641.63E-08Mast_cellsWNT2down
KDELR11.37E-07-0.3604652020.4430.7160.007187458Mast_cellsKDELR1down
RBP129.45E-07-0.361036980.1890.3980.049460953Mast_cellsRBP1down
MXRA71.60E-11-0.3611053030.1520.4328.39E-07Mast_cellsMXRA7down
RAB5B1.36E-12-0.3612357560.1660.4897.15E-08Mast_cellsRAB5Bdown
PLOD18.02E-12-0.3630813780.1380.4094.20E-07Mast_cellsPLOD1down
FOXL21.91E-13-0.3644039770.0970.3521.00E-08Mast_cellsFOXL2down
PPIC1.49E-12-0.3650136460.120.3867.80E-08Mast_cellsPPICdown
ERRFI11.54E-13-0.3651519050.0740.3078.05E-09Mast_cellsERRFI1down
LAMB13.36E-10-0.3682155870.1060.331.76E-05Mast_cellsLAMB1down
MTRNR2L121.39E-14-0.3694036640.1180.4327.28E-10Mast_cellsMTRNR2L12down
AL031727.12.28E-16-0.3705554620.0670.331.20E-11Mast_cellsAL031727.1down
MAP41.34E-08-0.3706276190.2510.5110.000701682Mast_cellsMAP4down
HIC11.00E-09-0.3706944690.1620.425.26E-05Mast_cellsHIC1down
CAPNS13.73E-08-0.3722569360.4330.7050.001951432Mast_cellsCAPNS1down
PENK1.59E-13-0.3729925750.0490.258.34E-09Mast_cellsPENKdown
TRIB11.25E-10-0.3733544090.1030.336.56E-06Mast_cellsTRIB1down
SYNCRIP3.90E-09-0.3733724910.3350.6480.000204076Mast_cellsSYNCRIPdown
PMEPA11.08E-06-0.3735076370.3920.6140.056604476Mast_cellsPMEPA1down
MTCO1P122.20E-18-0.3735711690.0760.3751.15E-13Mast_cellsMTCO1P12down
ZNF5168.85E-12-0.3736960570.1340.3984.63E-07Mast_cellsZNF516down
CRTAP2.45E-07-0.3737506220.3790.6250.012847767Mast_cellsCRTAPdown
PAMR16.20E-10-0.3737591840.1260.3643.25E-05Mast_cellsPAMR1down
MFAP23.71E-11-0.3743516190.1470.421.94E-06Mast_cellsMFAP2down
COL27A17.99E-10-0.3744221470.1370.3754.19E-05Mast_cellsCOL27A1down
BTBD25.45E-15-0.3747110840.1130.4092.86E-10Mast_cellsBTBD2down
RCN15.41E-09-0.3750963730.2090.4660.000283401Mast_cellsRCN1down
SSR31.13E-07-0.3753123840.4490.7160.005940912Mast_cellsSSR3down
BEX31.59E-08-0.3753264390.2440.5230.000832733Mast_cellsBEX3down
H1F07.20E-10-0.3755580860.2140.5113.77E-05Mast_cellsH1F0down
AC116533.13.16E-13-0.378504050.140.4551.66E-08Mast_cellsAC116533.1down
FSCN12.36E-10-0.3789796370.1710.4431.24E-05Mast_cellsFSCN1down
DAB28.70E-09-0.3803373040.2050.4550.000455503Mast_cellsDAB2down
SLC38A28.44E-08-0.38167980.3230.580.004418513Mast_cellsSLC38A2down
GJA18.88E-09-0.382396620.1570.3860.000465186Mast_cellsGJA1down
CLIC44.51E-13-0.3826594190.1480.4432.36E-08Mast_cellsCLIC4down
CDC42EP48.52E-10-0.3841690860.1610.4094.46E-05Mast_cellsCDC42EP4down
LTBP14.38E-13-0.3842848260.1370.4322.29E-08Mast_cellsLTBP1down
MYL96.05E-09-0.3846538450.1860.4430.00031672Mast_cellsMYL9down
U2AF27.00E-11-0.3858249610.2490.5913.66E-06Mast_cellsU2AF2down
SPIN11.13E-10-0.3861827640.2320.5455.93E-06Mast_cellsSPIN1down
CREB3L13.12E-13-0.3869406590.1040.3641.63E-08Mast_cellsCREB3L1down
CHSY16.30E-13-0.387127770.1440.4433.30E-08Mast_cellsCHSY1down
OSR22.61E-09-0.3911104310.1680.420.000136433Mast_cellsOSR2down
IMPAD12.39E-12-0.3913066690.140.421.25E-07Mast_cellsIMPAD1down
AC243919.11.18E-19-0.391476370.0560.336.16E-15Mast_cellsAC243919.1down
CNN21.19E-10-0.3935939750.2960.676.22E-06Mast_cellsCNN2down
ITGB16.90E-08-0.3948005380.4040.6590.003615075Mast_cellsITGB1down
OS92.38E-09-0.396251490.3520.6590.000124479Mast_cellsOS9down
TPM44.44E-10-0.3970527760.6120.7952.33E-05Mast_cellsTPM4down
KPNB12.21E-09-0.3975703330.30.5910.000115586Mast_cellsKPNB1down
GASK1B8.82E-13-0.3983025340.1240.3984.62E-08Mast_cellsGASK1Bdown
SH3PXD2A9.74E-12-0.3994365320.1870.55.10E-07Mast_cellsSH3PXD2Adown
ITGA61.05E-12-0.3997984740.1080.3645.51E-08Mast_cellsITGA6down
RAB311.33E-12-0.4008171240.1190.3866.99E-08Mast_cellsRAB31down
PTCH12.87E-11-0.4043806980.1680.4551.50E-06Mast_cellsPTCH1down
C1S2.58E-11-0.4044958710.1680.4551.35E-06Mast_cellsC1Sdown
RAI141.56E-13-0.4049897080.1410.4438.17E-09Mast_cellsRAI14down
SDK114.84E-17-0.4078845720.0910.3862.53E-12Mast_cellsSDK1down
WNT5A16.35E-15-0.4086233490.0940.3643.32E-10Mast_cellsWNT5Adown
FLNA3.10E-10-0.4108310070.2830.6021.62E-05Mast_cellsFLNAdown
MME9.41E-16-0.4119743660.0940.3754.93E-11Mast_cellsMMEdown
PLPP14.30E-09-0.4124565210.2940.5910.000225403Mast_cellsPLPP1down
IFI615.53E-10-0.4126689850.2460.5572.90E-05Mast_cellsIFI6down
APCDD129.89E-12-0.4128892670.1160.3645.18E-07Mast_cellsAPCDD1down
CKAP42.65E-10-0.4132011090.1840.4551.39E-05Mast_cellsCKAP4down
HNRNPUL14.43E-11-0.413205590.2890.6482.32E-06Mast_cellsHNRNPUL1down
TCF125.09E-13-0.4139128440.1620.4662.67E-08Mast_cellsTCF12down
TBX31.08E-14-0.4142753210.1450.4665.64E-10Mast_cellsTBX3down
RPL6P273.08E-17-0.4149842290.0870.3861.61E-12Mast_cellsRPL6P27down
ANXA23.07E-10-0.4167244110.2440.5341.61E-05Mast_cellsANXA2down
CALD15.87E-10-0.4194294110.2340.5343.07E-05Mast_cellsCALD1down
EIF4G29.80E-13-0.4201704150.5970.8755.13E-08Mast_cellsEIF4G2down
EWSR11.16E-10-0.420458890.3060.6366.10E-06Mast_cellsEWSR1down
RYBP8.78E-10-0.420758440.3770.7164.60E-05Mast_cellsRYBPdown
RPL37P65.57E-25-0.4215461050.050.3522.92E-20Mast_cellsRPL37P6down
KLF422.24E-08-0.4216121960.4030.6930.001172165Mast_cellsKLF4down
MARCKSL13.38E-08-0.4220749040.3560.6140.001770014Mast_cellsMARCKSL1down
HDLBP1.01E-09-0.4227737760.3830.675.31E-05Mast_cellsHDLBPdown
PRSS2312.74E-10-0.4228552850.1920.4771.43E-05Mast_cellsPRSS23down
FBLN116.97E-07-0.4234715640.3320.5570.036509022Mast_cellsFBLN1down
PSAP5.26E-14-0.4235039770.7140.9552.75E-09Mast_cellsPSAPdown
MYH97.07E-10-0.42513280.3260.6253.70E-05Mast_cellsMYH9down
ATP2A25.15E-11-0.4267582320.2820.6252.69E-06Mast_cellsATP2A2down
COL7A15.74E-12-0.4276020020.130.3983.01E-07Mast_cellsCOL7A1down
CDK2AP11.45E-10-0.4279306680.2720.587.59E-06Mast_cellsCDK2AP1down
TUG11.16E-12-0.4301354990.2130.5456.08E-08Mast_cellsTUG1down
VCL3.92E-13-0.4314338680.190.5112.05E-08Mast_cellsVCLdown
PTMS2.62E-09-0.4359061890.4930.6930.000137425Mast_cellsPTMSdown
GLIPR114.09E-14-0.4393541370.0980.3642.14E-09Mast_cellsGLIPR1down
TTC35.07E-10-0.4429674830.3450.6482.66E-05Mast_cellsTTC3down
ZNF7043.73E-11-0.4464032490.1880.4661.95E-06Mast_cellsZNF704down
SOCS322.80E-09-0.4470687750.2170.50.000146771Mast_cellsSOCS3down
LUM3.69E-10-0.4518198080.2150.5111.93E-05Mast_cellsLUMdown
CCND26.21E-11-0.4527944970.2950.6253.25E-06Mast_cellsCCND2down
RPL3P41.63E-19-0.453317210.1070.4558.52E-15Mast_cellsRPL3P4down
MAGED11.52E-12-0.4541417950.1810.4897.94E-08Mast_cellsMAGED1down
RPL26P1911.61E-16-0.4542128820.1430.58.44E-12Mast_cellsRPL26P19down
GNB13.26E-11-0.455883570.4220.7731.71E-06Mast_cellsGNB1down
MIR1244-26.79E-15-0.4560717310.1710.5343.56E-10Mast_cellsMIR1244-2down
ANTXR14.00E-17-0.4563617310.1060.4092.10E-12Mast_cellsANTXR1down
PCSK517.29E-16-0.4569846530.1110.4093.82E-11Mast_cellsPCSK5down
F13A112.27E-18-0.4579186710.060.3181.19E-13Mast_cellsF13A1down
CALR3.21E-14-0.4600818430.6340.8981.68E-09Mast_cellsCALRdown
CTDSP22.86E-15-0.4605817350.1650.51.50E-10Mast_cellsCTDSP2down
MAP3K206.23E-12-0.4607565810.1760.4663.26E-07Mast_cellsMAP3K20down
TCF44.89E-11-0.4621131480.2110.5112.56E-06Mast_cellsTCF4down
TWIST28.37E-14-0.4630674010.1370.4324.38E-09Mast_cellsTWIST2down
SEC31A2.49E-12-0.4664617820.3410.7051.31E-07Mast_cellsSEC31Adown
NID11.19E-17-0.4711913230.1230.4556.24E-13Mast_cellsNID1down
HOXA105.23E-15-0.4719254090.1970.5682.74E-10Mast_cellsHOXA10down
RPL15P38.71E-20-0.4729457060.0810.3984.56E-15Mast_cellsRPL15P3down
MARCKS15.13E-11-0.4747551590.2160.5112.69E-06Mast_cellsMARCKSdown
CAVIN12.76E-11-0.4801104950.3810.6821.44E-06Mast_cellsCAVIN1down
FBN11.43E-17-0.4807154210.1370.4777.50E-13Mast_cellsFBN1down
IGFBP45.36E-09-0.4819780280.2530.5110.00028074Mast_cellsIGFBP4down
UBA17.58E-16-0.4823418460.2370.6483.97E-11Mast_cellsUBA1down
NFIC4.12E-11-0.4832492050.3210.6362.15E-06Mast_cellsNFICdown
AC007969.12.28E-23-0.4841677660.080.4321.19E-18Mast_cellsAC007969.1down
PGR13.09E-13-0.4843170960.2020.5231.62E-08Mast_cellsPGRdown
HDGF2.36E-14-0.4854480570.2340.5911.24E-09Mast_cellsHDGFdown
GDF71.54E-15-0.4855705940.1380.4558.08E-11Mast_cellsGDF7down
ZFP36L11.80E-10-0.4857473470.5270.7959.44E-06Mast_cellsZFP36L1down
PXDN1.59E-18-0.4886332710.1110.4328.31E-14Mast_cellsPXDNdown
PIM14.58E-10-0.4903310740.2030.4662.40E-05Mast_cellsPIM1down
PALLD3.58E-11-0.4921137150.3010.6251.88E-06Mast_cellsPALLDdown
MMP143.57E-14-0.4921337510.1620.4891.87E-09Mast_cellsMMP14down
LGALS3BP1.39E-11-0.4927463620.2030.4897.26E-07Mast_cellsLGALS3BPdown
FN111.06E-15-0.4964909590.1560.55.55E-11Mast_cellsFN1down
KHSRP2.08E-14-0.5009662210.2070.5571.09E-09Mast_cellsKHSRPdown
AL022718.11.58E-26-0.5016006980.0630.4098.26E-22Mast_cellsAL022718.1down
MATR311.58E-15-0.5020425490.1930.5918.29E-11Mast_cellsMATR3down
SIGLEC17P2.08E-14-0.5047604210.2370.6591.09E-09Mast_cellsSIGLEC17Pdown
APP6.24E-13-0.5064881170.1940.53.27E-08Mast_cellsAPPdown
COL4A21.58E-15-0.5069991480.1850.5348.27E-11Mast_cellsCOL4A2down
MGP31.12E-07-0.5099420390.2270.4550.005883726Mast_cellsMGPdown
SDC28.22E-18-0.5172538380.1210.4434.30E-13Mast_cellsSDC2down
SPARCL13.57E-10-0.5234775320.2680.5681.87E-05Mast_cellsSPARCL1down
USP222.09E-15-0.5308230060.260.6361.09E-10Mast_cellsUSP22down
RTL8C1.59E-16-0.5325899120.2320.6258.31E-12Mast_cellsRTL8Cdown
VCAN32.71E-14-0.5377105350.1820.5231.42E-09Mast_cellsVCANdown
C11orf9613.72E-10-0.540056380.2190.51.95E-05Mast_cellsC11orf96down
H191.15E-11-0.5431363340.190.4776.01E-07Mast_cellsH19down
C1R7.09E-17-0.5448964240.1770.5343.71E-12Mast_cellsC1Rdown
CDH115.38E-16-0.5459381830.1870.5342.82E-11Mast_cellsCDH11down
EDNRA1.32E-14-0.5473652250.1630.4776.91E-10Mast_cellsEDNRAdown
COL14A13.41E-15-0.5502729610.1740.5111.79E-10Mast_cellsCOL14A1down
OLFML33.08E-17-0.550312530.1720.5341.61E-12Mast_cellsOLFML3down
CNN311.61E-15-0.5530826360.1820.5238.44E-11Mast_cellsCNN3down
PCOLCE1.28E-13-0.5541125160.2310.5686.73E-09Mast_cellsPCOLCEdown
COL6A26.85E-14-0.5561883840.2480.5913.58E-09Mast_cellsCOL6A2down
RHOB13.82E-10-0.5577216530.3840.6592.00E-05Mast_cellsRHOBdown
OAF8.57E-15-0.5582282420.2790.6364.48E-10Mast_cellsOAFdown
MDK3.57E-10-0.5632857260.3450.6141.87E-05Mast_cellsMDKdown
ZYX3.00E-13-0.5666702960.2720.581.57E-08Mast_cellsZYXdown
IRF2BP21.28E-14-0.567234290.430.7846.70E-10Mast_cellsIRF2BP2down
PGRMC13.37E-13-0.5762618510.2880.6251.77E-08Mast_cellsPGRMC1down
TGFBI22.07E-22-0.5899861940.1360.5341.09E-17Mast_cellsTGFBIdown
THY12.31E-13-0.5901833050.220.5451.21E-08Mast_cellsTHY1down
IGFBP512.87E-08-0.5953565690.3010.5450.001502045Mast_cellsIGFBP5down
FSTL13.78E-18-0.5993266190.1930.5681.98E-13Mast_cellsFSTL1down
MMP21.88E-17-0.6065389570.2050.6029.85E-13Mast_cellsMMP2down
DCN14.60E-16-0.6068962970.2060.5572.41E-11Mast_cellsDCNdown
COL6A35.81E-19-0.6088364470.180.5683.04E-14Mast_cellsCOL6A3down
ALDH1A25.82E-17-0.615047840.1640.53.05E-12Mast_cellsALDH1A2down
AP001324.14.66E-34-0.6171941590.0690.4772.44E-29Mast_cellsAP001324.1down
CPXM11.71E-18-0.6295207310.1990.588.94E-14Mast_cellsCPXM1down
MTND1P2314.84E-20-0.6392038710.1630.5682.53E-15Mast_cellsMTND1P23down
SPON23.16E-19-0.6409745810.1870.5681.66E-14Mast_cellsSPON2down
CD2411.01E-16-0.6470228430.2020.5575.28E-12Mast_cellsCD24down
SFRP14.10E-13-0.6583038250.260.5912.15E-08Mast_cellsSFRP1down
TIMP24.28E-19-0.6691052860.2120.6022.24E-14Mast_cellsTIMP2down
NR2F26.36E-16-0.6718890430.2590.6253.33E-11Mast_cellsNR2F2down
CRABP29.85E-21-0.6744725490.1650.5575.15E-16Mast_cellsCRABP2down
SERPINH111.04E-17-0.6750297770.210.585.45E-13Mast_cellsSERPINH1down
ISLR1.11E-18-0.6981698550.1960.585.80E-14Mast_cellsISLRdown
COL5A11.13E-15-0.7035509090.2390.585.90E-11Mast_cellsCOL5A1down
ECM144.04E-21-0.7038639520.1810.5912.11E-16Mast_cellsECM1down
COL5A21.22E-22-0.7051254650.1670.586.40E-18Mast_cellsCOL5A2down
OGN11.09E-21-0.7369515530.1530.5345.68E-17Mast_cellsOGNdown
DIO232.00E-17-0.7375437970.1870.5571.05E-12Mast_cellsDIO2down
MT-ATP815.13E-20-0.741566120.3910.8072.68E-15Mast_cellsMT-ATP8down
COL6A112.22E-18-0.7488738740.260.6481.16E-13Mast_cellsCOL6A1down
MMP1112.12E-15-0.7608997330.2390.581.11E-10Mast_cellsMMP11down
SFRP433.36E-12-0.7631501460.5010.7391.76E-07Mast_cellsSFRP4down
NREP21.24E-23-0.7881507340.2230.6596.49E-19Mast_cellsNREPdown
COL1A25.84E-17-0.8020748470.4320.7843.06E-12Mast_cellsCOL1A2down
SPARC18.06E-16-0.8238421490.3340.674.22E-11Mast_cellsSPARCdown
IGF115.98E-18-0.8299652750.2680.6483.13E-13Mast_cellsIGF1down
MTATP6P124.32E-20-0.8340217120.3040.7952.26E-15Mast_cellsMTATP6P1down
MT-RNR121.95E-19-0.876484870.3150.8071.02E-14Mast_cellsMT-RNR1down
COL1A113.53E-19-0.9044058320.5140.8641.85E-14Mast_cellsCOL1A1down
COL3A131.51E-24-0.9622181810.4850.927.93E-20Mast_cellsCOL3A1down
MT-RNR224.01E-17-0.9660831040.3150.8072.10E-12Mast_cellsMT-RNR2down
CCND111.90E-2710.6408524150.5480.1119.96E-267mit_FibroCCND1up
IGFBP612.93E-1260.5859317270.460.1811.53E-121mit_FibroIGFBP6up
PLAC911.03E-1100.4420781870.4390.1825.40E-106mit_FibroPLAC9up
CDKN1A23.39E-860.3872079990.60.3271.78E-81mit_FibroCDKN1Aup
SCGB2A169.26E-1870.3787740390.4650.1064.85E-182mit_FibroSCGB2A1up
GDF1521.79E-990.3538094960.3670.129.38E-95mit_FibroGDF15up
WFDC266.44E-810.3172287850.4610.2273.37E-76mit_FibroWFDC2up
ANXA11.30E-670.3170856630.6620.4336.79E-63mit_FibroANXA1up
BGN1.19E-650.3102703990.6150.436.25E-61mit_FibroBGNup
HSPB621.99E-570.3006589560.7530.5861.04E-52mit_FibroHSPB6up
SOCS332.26E-290.2987933060.6730.5491.18E-24mit_FibroSOCS3up
APOE14.10E-400.2924142690.7410.6422.14E-35mit_FibroAPOEup
HMGA111.01E-520.2877816740.2670.1085.30E-48mit_FibroHMGA1up
GPNMB15.36E-720.2745686250.5490.3092.81E-67mit_FibroGPNMBup
NKAIN419.38E-1900.2714855440.2630.0094.91E-185mit_FibroNKAIN4up
COL18A115.16E-670.2662742880.5060.2772.70E-62mit_FibroCOL18A1up
ZMAT313.20E-660.2652993760.5070.2731.68E-61mit_FibroZMAT3up
LOXL15.76E-720.2620896670.5230.293.02E-67mit_FibroLOXL1up
RPS27L2.74E-680.2596147380.8140.7031.44E-63mit_FibroRPS27Lup
TIMP325.27E-540.2585157290.7110.5122.76E-49mit_FibroTIMP3up
FXYD611.76E-650.2578624260.540.3189.22E-61mit_FibroFXYD6up
S100A421.65E-580.254073230.4240.2228.65E-54mit_FibroS100A4up
CLU37.18E-460.2505449840.570.4073.76E-41mit_FibroCLUup
S100A615.77E-610.2500572490.8650.7963.02E-56mit_FibroS100A6up
OGN22.08E-45-0.2614124450.5940.7621.09E-40mit_FibroOGNdown
IL3227.99E-44-0.270525030.3890.5654.19E-39mit_FibroIL32down
F13A123.30E-52-0.2773777180.5090.6981.73E-47mit_FibroF13A1down
TNC26.29E-49-0.2890405270.5010.6653.29E-44mit_FibroTNCdown
SCGB2A178.30E-2690.6621043350.4130.0584.35E-264NK_cellsSCGB2A1up
WFDC274.52E-2100.6487776820.4680.1422.37E-205NK_cellsWFDC2up
MT2A22.40E-310.4323631580.4120.3151.26E-26NK_cellsMT2Aup
MT1X26.21E-390.4212474520.2740.1613.25E-34NK_cellsMT1Xup
CXCR41.42E-1090.4140731790.7230.5047.43E-105NK_cellsCXCR4up
SCGB1D224.58E-1260.3500115960.2250.0332.40E-121NK_cellsSCGB1D2up
IGFBP521.79E-420.3454435340.3610.2279.35E-38NK_cellsIGFBP5up
ITM2C1.96E-650.3332524650.4930.3111.03E-60NK_cellsITM2Cup
CLU41.94E-770.3246859960.2560.0951.02E-72NK_cellsCLUup
LMNA13.86E-480.2847579550.4880.3532.02E-43NK_cellsLMNAup
GNG23.70E-500.2732194570.3510.2021.94E-45NK_cellsGNG2up
CAPS2.62E-740.2711546740.2450.0861.37E-69NK_cellsCAPSup
FBLN125.33E-310.2653293710.4130.312.79E-26NK_cellsFBLN1up
EZR1.34E-690.2642042380.7880.6717.04E-65NK_cellsEZRup
PAEP13.63E-910.2519207640.1240.0041.90E-86NK_cellsPAEPup
SYTL37.88E-47-0.2503209360.3070.4744.13E-42NK_cellsSYTL3down
RBP134.61E-39-0.2515220890.2140.3422.41E-34NK_cellsRBP1down
TMIGD23.93E-49-0.2531946030.3160.4852.06E-44NK_cellsTMIGD2down
DAPK27.36E-65-0.2549837670.1220.2893.85E-60NK_cellsDAPK2down
CD381.30E-56-0.2634100870.2830.4756.81E-52NK_cellsCD38down
RNF13011.26E-65-0.2681178730.2460.4286.61E-61NK_cellsRNF130down
LINC009961.23E-74-0.2760354380.1160.2946.42E-70NK_cellsLINC00996down
CMC13.23E-58-0.2816314640.5140.6781.69E-53NK_cellsCMC1down
FCER1G18.36E-83-0.2895878480.6230.7834.38E-78NK_cellsFCER1Gdown
TRDC4.99E-79-0.2920193390.6070.7592.61E-74NK_cellsTRDCdown
NCAM11.93E-65-0.2937677810.3450.5591.01E-60NK_cellsNCAM1down
KIR2DL32.32E-83-0.2938757040.0790.2491.22E-78NK_cellsKIR2DL3down
CCL32.67E-38-0.2958969780.4270.5521.40E-33NK_cellsCCL3down
EPAS13.20E-67-0.3003118210.2760.4711.67E-62NK_cellsEPAS1down
KIR2DL41.99E-79-0.31995760.1530.3451.04E-74NK_cellsKIR2DL4down
ECM151.28E-56-0.3399181950.190.3396.69E-52NK_cellsECM1down
ITGAX5.10E-83-0.3484610950.2460.4812.67E-78NK_cellsITGAXdown
COTL13.70E-114-0.3798736960.6030.8031.94E-109NK_cellsCOTL1down
GZMB4.28E-118-0.4991150350.3440.6072.24E-113NK_cellsGZMBdown
GNLY22.28E-152-0.629621520.4630.7131.19E-147NK_cellsGNLYdown
ADIRF16.84E-800.5712753860.7110.3363.58E-75SMCADIRFup
PTGDS1.35E-440.5638861430.5320.3037.09E-40SMCPTGDSup
MT2A33.36E-720.5402676350.8460.6341.76E-67SMCMT2Aup
BTG224.16E-850.5222788840.7990.5142.18E-80SMCBTG2up
ATF322.95E-770.5103547750.8340.6391.54E-72SMCATF3up
CKB19.11E-820.5095687030.8030.5354.77E-77SMCCKBup
MT1E19.02E-600.487695410.4730.1914.72E-55SMCMT1Eup
COL14A112.07E-740.4788702080.7660.4631.08E-69SMCCOL14A1up
SOCS342.52E-720.4779258220.8350.6031.32E-67SMCSOCS3up
CDKN1A31.81E-660.4574718540.6030.2829.47E-62SMCCDKN1Aup
CFD14.49E-710.4477709790.3530.0612.35E-66SMCCFDup
FXYD18.51E-690.4410948460.6150.2914.46E-64SMCFXYD1up
EPHA75.17E-640.4387082690.350.0772.71E-59SMCEPHA7up
PTN17.07E-520.4283511240.6570.4033.70E-47SMCPTNup
KLF221.43E-590.4267113160.6590.3847.50E-55SMCKLF2up
S100A621.10E-510.4161891730.7990.6325.75E-47SMCS100A6up
S100A435.96E-440.4156433540.680.4423.12E-39SMCS100A4up
CCL223.15E-340.4108352180.4360.2171.65E-29SMCCCL2up
NR4A112.64E-500.4063495030.7820.5781.38E-45SMCNR4A1up
SCGB2A182.17E-820.4014153150.4530.1081.14E-77SMCSCGB2A1up
HSPA1B21.38E-490.3989917150.7710.5217.23E-45SMCHSPA1Bup
TGM228.56E-440.3925872560.5320.2994.48E-39SMCTGM2up
DNAJB122.91E-650.3922440790.8790.7581.52E-60SMCDNAJB1up
WFDC281.75E-590.3763944050.5320.2299.18E-55SMCWFDC2up
PLAC925.20E-450.3728859030.6550.4362.72E-40SMCPLAC9up
MFAP41.37E-660.3653093580.3720.0837.16E-62SMCMFAP4up
HSPA1A27.78E-530.3580845680.9060.7884.07E-48SMCHSPA1Aup
GADD45B11.36E-380.3571063280.7990.667.12E-34SMCGADD45Bup
MYC6.47E-410.3534281420.6810.4593.39E-36SMCMYCup
EPAS116.26E-510.3528818610.7340.4833.28E-46SMCEPAS1up
CEBPD2.25E-450.3482186210.8140.6971.18E-40SMCCEBPDup
IRF114.71E-430.3461830130.8110.6652.47E-38SMCIRF1up
MAFF22.36E-450.3412930160.730.5271.24E-40SMCMAFFup
GAS61.51E-540.3407897470.7740.5627.89E-50SMCGAS6up
MSX122.83E-500.3355252160.4650.191.48E-45SMCMSX1up
ZFP3632.04E-440.3347521910.8650.7491.07E-39SMCZFP36up
FOSB11.85E-550.3341692980.930.8179.70E-51SMCFOSBup
MUSTN12.82E-300.3321459540.3140.1271.47E-25SMCMUSTN1up
TIPARP13.62E-350.3314501630.5840.3761.90E-30SMCTIPARPup
SLIT35.25E-430.3289969730.6890.4092.75E-38SMCSLIT3up
DUSP112.58E-430.3249896530.7960.6651.35E-38SMCDUSP1up
CLU52.52E-670.3244935860.3580.0721.32E-62SMCCLUup
HSPB633.83E-380.3159967510.530.2922.01E-33SMCHSPB6up
RGS168.48E-290.3142527350.7270.5534.44E-24SMCRGS16up
CRISPLD211.42E-360.3128990560.7030.5077.45E-32SMCCRISPLD2up
LITAF7.69E-450.3094294120.7510.5724.02E-40SMCLITAFup
KLF432.44E-400.3055100940.4470.2051.28E-35SMCKLF4up
CD925.74E-410.3053973150.3160.1023.00E-36SMCCD9up
SERTAD114.73E-400.3015676180.7390.6042.48E-35SMCSERTAD1up
MT1X33.57E-260.2920137190.3220.1521.87E-21SMCMT1Xup
SPARCL114.54E-490.2914343370.9140.8382.37E-44SMCSPARCL1up
PGF12.56E-320.2906683280.6080.3971.34E-27SMCPGFup
ECRG41.43E-530.2888286940.3070.0657.47E-49SMCECRG4up
ADAMTS16.37E-270.2843912490.6610.4913.34E-22SMCADAMTS1up
ANXA114.76E-360.2817389410.4190.1972.49E-31SMCANXA1up
EFEMP115.32E-430.2770393450.2770.0682.79E-38SMCEFEMP1up
TOB13.24E-290.2756781250.5610.3731.69E-24SMCTOB1up
ID33.55E-270.2754329480.7610.6091.86E-22SMCID3up
RARRES211.35E-310.2743247360.7350.5987.07E-27SMCRARRES2up
JUNB12.99E-590.2742729440.9340.8951.57E-54SMCJUNBup
DPEP111.67E-450.2734608170.3280.0958.74E-41SMCDPEP1up
MYH113.86E-180.272839830.5150.3462.02E-13SMCMYH11up
C11orf9625.28E-490.2674692060.960.9012.76E-44SMCC11orf96up
ID21.10E-260.2670823390.50.315.76E-22SMCID2up
MIR99AHG4.38E-280.2629786610.5810.3792.29E-23SMCMIR99AHGup
NFIL31.76E-270.2626921490.5750.3979.21E-23SMCNFIL3up
NR4A31.36E-390.2616098870.3250.1117.13E-35SMCNR4A3up
TIMP335.88E-350.2523535690.9050.8023.08E-30SMCTIMP3up
EGR122.54E-350.2516439840.9190.8451.33E-30SMCEGR1up
TWIST12.16E-27-0.2501662840.2660.4421.13E-22SMCTWIST1down
SOX42.65E-67-0.2504533970.920.9791.39E-62SMCSOX4down
ANGPT21.87E-21-0.2523320650.5140.6859.82E-17SMCANGPT2down
MIR4435-2HG4.80E-26-0.2528349040.5720.7262.51E-21SMCMIR4435-2HGdown
SPON214.74E-30-0.2541863890.7250.8322.48E-25SMCSPON2down
EGFL61.03E-25-0.2542357910.2890.4625.39E-21SMCEGFL6down
LINGO11.67E-30-0.2558926480.3330.5488.74E-26SMCLINGO1down
FN127.39E-33-0.2570106640.7460.8623.87E-28SMCFN1down
MARCKSL119.66E-45-0.2581284850.770.8865.06E-40SMCMARCKSL1down
GLIPR121.35E-28-0.2592952260.2460.4247.08E-24SMCGLIPR1down
STMN12.22E-27-0.2611172630.5030.6661.16E-22SMCSTMN1down
TBX311.32E-30-0.2615345470.5810.7216.92E-26SMCTBX3down
C4orf4823.93E-33-0.2626574130.4240.6062.06E-28SMCC4orf48down
HOPX1.79E-16-0.2628249820.4390.5549.36E-12SMCHOPXdown
ENC16.85E-26-0.2632998070.4070.5813.59E-21SMCENC1down
FARP12.05E-36-0.2646121710.5750.7521.08E-31SMCFARP1down
COL4A112.96E-65-0.2646760980.9320.9881.55E-60SMCCOL4A1down
FAP2.35E-29-0.2694237620.2590.4341.23E-24SMCFAPdown
PXDN19.30E-40-0.2714958370.6310.8094.87E-35SMCPXDNdown
TSHZ26.00E-32-0.2741456570.3590.5933.14E-27SMCTSHZ2down
AGPAT52.21E-36-0.2764460620.3090.5181.16E-31SMCAGPAT5down
WNT5A21.25E-30-0.278157960.1670.3446.53E-26SMCWNT5Adown
FBLIM13.99E-43-0.2806408450.6390.8212.09E-38SMCFBLIM1down
FAM162B3.19E-24-0.2812380770.3260.4911.67E-19SMCFAM162Bdown
PLAT1.08E-31-0.2816500560.5430.6995.67E-27SMCPLATdown
LOXL211.40E-25-0.2831394910.4050.567.32E-21SMCLOXL2down
NES5.90E-36-0.2832655460.6810.7973.09E-31SMCNESdown
ADAM1227.18E-42-0.2850154840.2320.4813.76E-37SMCADAM12down
PELI12.19E-34-0.2871950230.4150.6061.15E-29SMCPELI1down
CASC1511.08E-38-0.2891693780.3090.5315.66E-34SMCCASC15down
BMP118.05E-46-0.2930078010.5330.7334.21E-41SMCBMP1down
HTRA33.97E-27-0.2950434260.1850.3472.08E-22SMCHTRA3down
DIO241.02E-28-0.2956965960.5380.7085.35E-24SMCDIO2down
RGS43.72E-29-0.2963954030.2430.4321.95E-24SMCRGS4down
LAMB111.58E-41-0.2984043950.6340.8218.26E-37SMCLAMB1down
A2M2.89E-46-0.3029511060.7070.851.51E-41SMCA2Mdown
COL5A211.28E-60-0.3037669320.8040.9326.68E-56SMCCOL5A2down
CD24811.69E-53-0.3050164770.7270.8688.84E-49SMCCD248down
RARRES12.43E-42-0.3137340680.1430.3591.27E-37SMCRARRES1down
CYTOR1.69E-52-0.3551409320.6870.858.85E-48SMCCYTORdown
MARCKS21.50E-87-0.3558634210.8160.9397.87E-83SMCMARCKSdown
SULF16.96E-49-0.3750541070.4230.6613.64E-44SMCSULF1down
FJX114.31E-52-0.3809005670.5040.7422.25E-47SMCFJX1down
MXRA51.50E-73-0.4331065890.2580.5777.83E-69SMCMXRA5down
MMP1122.01E-83-0.4364624220.7650.9261.05E-78SMCMMP11down
ECM164.47E-83-0.4704547820.5250.8072.34E-78SMCECM1down
APCDD131.75E-75-0.4736790160.4410.7359.15E-71SMCAPCDD1down
NREP31.60E-118-0.4947155980.7070.9448.36E-114SMCNREPdown
RBP142.84E-117-0.5290633780.610.8861.49E-112SMCRBP1down
PAEP25.44E-2651.16234520.620.1592.85E-260unciliated_EpCPAEPup
CLU62.70E-2310.9838786970.6960.3521.41E-226unciliated_EpCCLUup
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Figure 2 Bulk RNA-seq Profiles in EP versus EU, Aberrant Gene Expression in Cell Types from Endometrial Polyps’ samples. (A) The PCA plot displays the distribution of individuals along the first two principal components (Dim1 and Dim2). Individuals are color-coded by group: EP (blue circles) and EU (orange triangles).Download

(B) The volcano plot displays gene expression changes from EP to EU of bulk RNA-seq (EU, n = 5; EP, n = 5), highlighting significant genes (green) versus non-significant ones (red) based on log2 fold change and adjusted p-values.

(C) Bar plots illustrating the gene ontology (GO) enrichment analysis of genes that are either upregulated or downregulated between EU and EP. Fisher’s exact tests (two-sided) were conducted, with a p.adjust of less than 0.05 considered statistically significant.

(D-E) Dot plots showing the relative expression changes of specific genes from bulk RNA-seq data across various cell types in single-cell analyses. The size of the dots indicates the percentage of expression.

3.3 Endometrial polyps exhibit cell type-specific changes in their transcriptional regulatory programs#

To distinguish between the shared and distinct gene expression alterations linked to endometrial polyps within each cell type, we examined the differentially expressed genes (DEGs) across the major cell types found in both endometrial (EU) and polyp samples. A total of 1,534 DEGs associated with polyps (with |log2FoldChange| > 0.25 and adjusted P value < 0.05) were identified, exhibiting differential expression in at least one cell type across both EU and MP samples (Fig. 3A), Major cell types in endometrium, included Mast cell, SMC, ciliated-epithelia and unciliated-epithelia, were most affected by polpys, as manifested by high DEG counts of 727, 236, 124 and 120 respectively (Fig 4B and Table S2), While there was significant variability in the differentially expressed genes (DEGs) among various cell types, certain Gene Ontology (GO) term annotations were common across the primary cell types. For example, the downregulated DEGs were enriched in biological regulation process (ADAM12, APCDD1, BMP1, and COL3A1) and Upregulated DEGs were associated with inflammatory response and antigen processing (MSX1, ATF3, CLU, and IRF1), metabolic process (NME2, NDUFA7, and, LDHB), and response factor cellular such as: response to hormone (AR, JAK1/3, CRY1, STAT3, FOS) (Fig 3B).

Furthermore, Estrogen is implicated in the development of endometrial polyps, and a detailed analysis indicated an increased expression of genes associated with the estrogen response, as identified in the Molecular Signatures Database (MSigDB) (Fig.3C), In a joint analysis of differentially expressed genes (DEGs) within the estrogen response database, the gene set score (AUCell) of whole tissue and multiple cell types demonstrated an activation of genes related to estrogen response, except for mast cells and unciliated epithelia (Fig.3C and Fig.S3). Consistently, we identified that the majority of genes involved in the estrogen response were upregulated across multiple cell types, except for mast cells (Fig.3D). Notably, TGM2, a gene associated with extracellular matrix remodeling and apoptosis16 , exhibited elevated expression levels in fibroblasts and smooth muscle cells (SMCs). Additionally, TFF3, which possesses anti-apoptotic properties17 , and CKB, involved in cellular energy homeostasis18 , were both found to be increased in the epithelial cells of endometrial polyps. Conversely, the hormone receptors AR (Androgen Receptor) and PGR (Progesterone Receptor) were downregulated in mast cells within endometrial polyps (Fig.3E).

Next, we performed SCENIC analysis to identify key transcription factors (TFs) present in various cell types within endometrial polyps. (Fig. 3F and 3G). The identified core TFs include FOSB, FOS, JUNB, and JUND, which are components of the AP-1 complex that showed upregulation in epithelial cells, macrophages, endothelial cells, and SMCs. These factors are associated with cell proliferation, apoptosis, and stress responses, and their expression changes have also been observed in colorectal polyps19 . Furthermore, KLF6, KLF2, and KLF4, members of the KLF family, were found to be upregulated in fibroblasts, endothelial cells, and SMCs. These factors are crucial for cell proliferation, with KLF4 notably promoting the formation of intestinal polyps20 . EGR1, which has been noted for altered expression in patients with nasal polyps, was also upregulated in the endothelial cells and SMCs of endometrial polyps. Additionally, we observed the downregulation of HOXA10, a gene implicated in endometrial polyps 21 , particularly in mast cells, suggesting a distinctive transcriptional network within these cells (Fig.3G). Notably, the analysis of transcription factors (TFs) that were co-downregulated across different cell types indicated that mast cell transcription factors were the most significantly downregulated. Taken together, these results shed light on the transcriptional regulatory mechanisms underlying endometrial polyps, identifying crucial factors that drive their development and progression.

Figure 3 Transcriptional changes in various cell types between EU and EP. (A) Circular diagram displays gene expression changes in endometrial polyps across various cell types. significant downregulated genes are shown in blue (sigDown), while upregulated genes are in red (sigUp). The placement of dots represent expression levels, offering insights into differential gene expression among cell populations.Download

(B) Network illustrates the representative Gene Ontology (GO) terms and pathways associated with differentially expressed genes (DEGs) between endometrial uterine (EU) and endometrial polyp (EP) samples. Nodes are depicted as pie charts, with the size of each pie reflecting the total number of genes associated with that term. The pie charts are color-coded by cell types, and the size of each slice indicates the proportion of genes from the specific gene list contributing to that term. Connections between two terms are drawn if their similarity exceeds 0.3.

(C) Ridge plot showing the AUC score of estrogen response gene set in EP.

(D) Network visualization highlights differentially expressed genes (DEGs) that are upregulated (in red) and downregulated (on the right) between endometrial uterine (EU) and endometrial polyp samples, specifically those that overlap with genes associated with estrogen response gene sets. The pie charts on the left depict various cell types, with red indicating upregulated genes and blue representing downregulated ones. The size of each node reflects the number of target genes linked to a particular cell type. Red nodes signify upregulated DEGs, while the blue nodes on the right denote downregulated DEGs.

(E) Network plot illustrates the upregulated and downregulated differentially expressed genes (DEGs) across all cell types that intersect with genes annotated in the estrogen response gene sets. The size of each node reflects the occurrence of DEGs across various cell types. The red sections of the nodes represent upregulated genes, while the blue sections indicate downregulated genes.

(F) Heatmap displaying the SCENIC analysis of cell type-specific core regulatory transcription factors (TFs) in polyps.

(G) Network visualization depicts the core regulatory transcription factors (TFs) that are upregulated (on the left) and downregulated (on the right) in endometrial polyps. The pie charts in the center illustrate various cell types, with red indicating upregulated TFs and green indicating downregulated ones. The left side showcases red nodes representing upregulated TFs, while the right side features blue nodes for downregulated TFs.

3.4 Increase in Mast Cell Number and Activation Associated with Susceptibility to Endometrial Polyp Development#

To gain a deeper understanding of the transcriptomic landscape of endometrial polyps, we utilized augur analysis. This method identifies cell types that are most responsive to biological perturbations in single-cell data22 . Our findings indicated that mast cells were the most significantly affected cell type in endometrial polyps (Fig.4A). The changes in cell proportions and transcriptional profiles suggested that mast cells play a pivotal role in the development of endometrial polyps (Fig.1H and 4B). Mast cells contribute to inflammation and tissue remodeling within polyps by releasing cytokines and growth factors, thereby affecting the growth and persistence of these polyps23-25 . The tryptase serves as a marker of mast-cell activation26 , and our analysis revealed significant activation of mast cells within endometrial polyps (Fig.4C). To investigate this, we performed gene enrichment analysis of DEGs in mast cells. The results showed significant enrichment of upregulated genes also associated with granulocyte activation (CTSG, TYROBP, IL18) and proton motive force-driven ATP synthesis (ATP6V0C, NDUFA13, ATP5F1D). Conversely, downregulated genes were enriched in pathways related to gland morphogenesis (MMP2, IGFBP5, MDK) and female gonad development (NR2F2, SFRP1, PGR) (Fig.4D).

Next, we explored whether cellular communications between mast cells and other cell types in the EPs were altered. Utilizing the bioinformatic tool CellphoneDB, we assessed enhanced cell-cell communications in the EPs based on upregulated differentially expressed genes. Our analysis revealed that steroid-related signaling, specifically the interaction of 5alphaDihydroprogesterone facilitated by DHRS9 with the progesterone receptor (PGR), and tumor necrosis factor signaling through TNF-TNFRSF1B interactions, were enhanced between mast cells and epithelial/fibroblast cells in the EPs. This finding aligns with previous studies showing significantly higher levels of PGR in glandular epithelium in EPs27 . Furthermore, angiogenesis signaling, particularly the VEGFA-NRP2 interaction, demonstrated increased activity between mast cells and endothelial cells (Fig.4E). These findings suggest that the increase and activation of mast cells in the EPs are closely correlated with a heightened susceptibility to the development of endometrial polyps.

Transcription factor (TF) network analysis identified 15 specific regulators with significant differences between EPs and EU. Notably, the WT1 regulon was found to be downregulated in endometrial polyps and central to a gene network that influences mast cell function (Fig.4F). Both the transcription level and regulon activity of WT1 were decreased in endometrial polyps and verified downregulation of WT1 in EPs mast cells by immunofluorescence (Fig.4H and 4C). Sequencing data indicated that WT1 broadly regulates 37 differentially expressed genes (DEGs) in mast cells, with these target genes showing disturbances in endometrial polyps as WT1 expression decreases (Fig.4Jand 4H). Specifically, the DEGs targeted by WT1 were linked to cell growth (WT1, IGF1, and WNT2) and epithelial to mesenchymal transition (SFRP1, WNT2, WNT5A) (Fig 4I). These findings imply that the repression of WT1 and the disruption of its downstream transcriptional network likely contribute to the proliferation of mast cells in endometrial polyps.

Figure 4 Profiling of mast cell changes in endometrial polyps. (A) Circular plot illustrates the prioritization of cell types that are most reactive to biological changes during the formation of endometrial polyps. This analysis was conducted using Augur, a technique designed to identify cell types exhibiting the most significant responses in single-cell data.Download

(B) Rose diagram illustrates the counts of differentially expressed genes (DEGs) in various cell types from endometrial polyp formation. Upregulated DEGs are represented in red, while downregulated DEGs are shown in green (C) Co-staining of Tryptase and WT1 in EU and EP. Left, representative image of Tryptase and WT1 in EU and EP. Middle, the relative Tryptase positive cells was quantiffed. Right, quantitative data of WT1 expression in Mast cells. Scale bars, 10μm and 5μm (zoomed-in images). **P < 0.01.

(D) Bar plot displays the significance of biological processes (BP) associated with differentially expressed genes, Upregulated DEGs are represented in red, while downregulated DEGs are shown in blue. The x-axis represents the negative logarithm of the p-values.

(E) Visualization of cell-cell communication interactions identified using CellPhoneDB. The dot plot displays the mean interaction scores between various cell types, specifically focusing on interactions involving mast cells and other cell populations. The size of each dot corresponds to the mean interaction score. The color gradient represents the mean scores, with purple denoting lower values and green indicating higher values. A red dot indicates statistically significant interactions. Interactions are listed on the y-axis, while the different cell types are represented on the x-axis.

(E) Regulatory network illustrates potential key transcriptional regulators in mast cells. In this visualization, larger nodes signify transcription factors (TFs), while smaller nodes represent target genes. The size of the TF nodes is directly proportional to the number of genes they regulate. Nodes colored in red indicate upregulation, whereas blue nodes denote downregulation.

(F) Figure presents the expression of various transcription factors (TFs) in mast cell across EP and EU. The upper section displays violin plots showing the expression of each TF in mast cell across EP and EU. The lower section features a heatmap representing the regulation activity of each TF in mast cell across EP and EU. the size of the black circles below indicates the number of target genes associated with each TF.

(G) A ridge plot displays the AUC scores of WT1-regulated gene sets in polyps.

(I) Network plot illustrates the enrichment of representative terms associated with WT1 target genes. The genes linked to these terms are displayed on the outer edge of the diagram.

3.5 Knockdown of WT1 promote Mast cell proliferation in endometrial polyps#

To explore the functional role of WT1 in endometrial polyps, WT1 was knocked down in the human mast cell line HMC-1 using siRNA. Post-transfection, WT1 reduction was confirmed at both RNA and protein levels via RT-qPCR and western blot analyses (Fig.5A and 5B). Following WT1 knockdown, HMC-1 cell proliferation was significantly enhanced (Fig.5C). RNA sequencing was subsequently conducted to evaluate gene expression changes. Volcano plot analysis revealed significant upregulation and downregulation of various genes after WT1 knockdown (Fig.5D), indicating its regulatory role in mast cell function.KEGG pathway analysis highlighted modifications in crucial signaling pathways, such as the estrogen signaling pathway and central carbon metabolism, relevant to cell growth and proliferation (Fig 5E). Furthermore, Gene Ontology (GO) enrichment analysis showed that knocking down WT1 affected pathways involved in lipid metabolism (e.g., PLPP2, ALOX5, and ECH1), ribosome biogenesis (e.g., NOP9, LYAR, WDR46), and telomere maintenance (e.g., TERT, PPP1R10, PINX1) (Fig.5F and 5G). Notably, several differentially expressed genes (DEGs) were found to overlap between WT1-knockdown HMC-1 cells and EPs mast cells. This overlap included no upregulated genes but featured five downregulated genes that are significantly associated with the proliferation and apoptosis of HMC-1 (Fig.5H). Collectively, these findings provide a molecular overview of how WT1 deficiency enhances mast cell proliferation. This underscores WT1’s essential role in managing pathways linked to cellular growth and metabolism, suggesting that its disruption may disturb cellular equilibrium and contribute to conditions like endometrial polyps.

Figure 5 Knockdown of WT1 induced Mast cell proliferation in endometrial polyps. (A) qPCR results show the efficiency of WT1 knockdown. *P < 0.05, **P < 0.01. (B )Westernblot show the efficiency of WT1 knockdown. (C) Cell number demonstrate cell proliferation after WT1 knockdown.Download

(D) Volcano plot showing differentially expressed genes in HMC-1 mast cells following WT1 knockdown. Genes with significant upregulation are marked in red, while those with significant downregulation are marked in blue.

(E) KEGG pathway analysis identifying altered signaling pathways, including the estrogen signaling pathway and central carbon metabolism.

(F-G) GO enrichment analysis of biological processes affected by WT1 knockdown (H) Venn diagram illustrates the genes that are common between the differentially expressed genes (DEGs) identified in HMC-1 cells following WT1 silencing and those found in mast cells through snRNA-seq analysis.

(I) Schematic (produced using Figdraw) illustrates the pathological alterations observed in endometrial polyps.

4 Discussion#

In this study, we performed single-cell RNA sequencing (scRNA-seq) to construct a comprehensive cellular and molecular atlas of endometrial polyps and adjacent eutopic endometrium (EU) tissues. Our findings provide significant insights into the cellular composition changes, gene expression profiles, and transcriptional regulatory mechanisms associated with EPs, with a particular emphasis on the role of mast cells and the transcription factor WT1. The scRNA-seq analysis revealed substantial shifts in cell populations within EPs compared to EU tissues. Specifically, there was an increase in the proportions of epithelial cells, mast cells, and macrophages, along with a decrease in fibroblasts. Immunohistochemistry staining confirmed these observations, showing elevated numbers of CD68-positive macrophages and TPSB2-positive mast cells in the polyps. These findings suggest that glandular proliferation and immune cell infiltration are key features of EPs, contributing to their proliferative and inflammatory characteristics (Fig.5I).

Transcription factor analysis revealed crucial regulatory elements, including the AP-1 complex (FOSB, FOS, JUNB, and JUND) and KLF family members (KLF6, KLF2, and KLF4), which were upregulated in various cell types within EPs. These transcription factors are associated with key processes such as cell proliferation, apoptosis, and stress responses, aligning with the pathological features of EPs. Additionally, the downregulation of HOXA10 and other transcription factors in mast cells indicated a unique transcriptional network in these cells, underscoring their significance in EPs biology.

Mast cell proliferation is a key factor in nasal polyp hyperplasia during type II inflammation14. Similarly, we observed a high density of activated mast cells in endometrial polyps, aligning with previous studies15. This suggests a strong connection between mast cell proliferation and endometrial polyps. WT1, initially identified as a tumor suppressor in Wilms’ Tumor, influences various cancers and developmental processes through target genes like IGF1R, PDGFA, EGF, and TGF-β. Our research indicates a significant reduction of WT1 expression in mast cells within endometrial polyps. Experiments with WT1 knockdown in the HMC-1 mast cell line showed that decreased WT1 levels lead to increased mast cell proliferation and activity, highlighting WT1’s suppressive role. This aligns with prior findings linking c-KIT (CD117) receptor mutations to mast cell proliferation, contributing to conditions such as systemic mastocytosis. Previously, the mechanisms behind mast cell proliferation in uterine polyps were unclear. Our study addresses this by demonstrating that WT1 downregulation disrupts its regulatory network, resulting in abnormal mast cell growth in endometrial polyps.

In conclusion, our research indicates that the downregulation of WT1 in mast cells is a crucial factor driving their proliferation and the inflammatory milieu in endometrial polyps. Targeting WT1 and its related regulatory networks could provide new therapeutic avenues for treating endometrial polyps.

4.1 Limitations of the study#

Despite the significant findings regarding the cellular and molecular landscape of endometrial polyps presented in this study, the sample size, although sufficient for exploratory analyses, was limited to seven patients, which may affect the generalizability of the results. Larger, more diverse cohorts are needed to validate the findings and assess potential variations in different populations. Additionally, the functional assays performed, such as the WT1 knockdown in the HMC-1 mast cell line, may not completely replicate the in vivo conditions present in endometrial polyps. It is crucial to conduct further experiments in primary human mast cells or relevant animal models to confirm the functional relevance of the identified transcriptional changes.

4.2 Resource availability#

4.3 Lead contact#

Information and requests for resources should be directed to the lead contact, Hong Xu ([e-mail address]) or Xiaoying He ([e-mail address])

4.4 Materials availability#

This study did not generate new unique reagents.

4.5 Data and code availability#

The accession number for the single-cell sequencing data reported in this paper is deposited in the China National Center for Bioinformation under the accession number PRJCA032064.

4.6 Methods#

All methods can be found in the accompanying transparent methods supplemental file.

Declarations

✎Author contributions

H.X.Y and H.X. ,Y.L. conceptualized the study and supervised the project; Y.Y., Y.W.Q., W.Z.S., H.T, and L.C conducted the experiments; Y.L performed the bioinformatic analyses of scRNA-seq and RNA-seq; T.H., and C.L., collected clinical samples; Y.L., H.X.Y and H.X wrote the manuscript, with all the authors contributing to writing and providing feedback.

◎Competing interests

The authors declare no competing interests.

♥Acknowledgements

We would like to express our sincere gratitude to Professor Lihui Lin for providing the HMC-1 cell line, which significantly contributed to the success of this study. This work was supported by the National Natural Science Foundation of China [NO. 8247168, 82271679, 82071622, XH].

Article information

  1. Published
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Copyright © 2025 Yu Lin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. CC BY 4.0 · Corrections policy

Cite this articleLin Y, Qi Y, Yao Y, Tong H, Chen L, Song W, et al. Single-Cell Sequencing Reveals a Regulatory Role of WT1 in Mast Cell Proliferation in Endometrial Polyps. Journal of Clinical Endocrinology and Metabolism. 2025;9. doi: 10.52338/jocem.2025.4404
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References 27#

  1. 1

    Vitagliano, A., Cialdella, M., Cicinelli, R., Santarsiero, C.M., Greco, P., Buzzaccarini, G., Noventa, M., and Cicinelli, E. (2021). Association between Endometrial Polyps and Chronic Endometritis: Is It Time for a Paradigm Shift in the Pathophysiology of Endometrial Polyps in Pre-Menopausal Women? Results of a Systematic Review and Meta-Analysis. Diagnostics (Basel) 11. 10.3390/diagnostics11122182.

    PubMedGoogle Scholar↩ Back to text

  2. 2

    Tjarks, M., and Van Voorhis, B.J. (2000). Treatment of endometrial polyps. Obstet Gynecol 96, 886-889. 10.1016/s0029-7844(00)01059-0.

    PubMedGoogle Scholar↩ Back to text

  3. 3

    Check, J.H., Bostick-Smith, C.A., Choe, J.K., Amui, J., and Brasile, D. (2011). Matched controlled study to evaluate the effect of endometrial polyps on pregnancy and implantation rates following in vitro fertilization-embryo transfer (IVF-ET). Clin Exp Obstet Gynecol 38, 206-208.

    PubMedGoogle Scholar↩ Back to text

  4. 4

    Ceci, O., Bettocchi, S., Marello, F., Di Venere, R., Pellegrino, A.R., Laricchia, L., and Vimercati, A. (2000). Hysteroscopic evaluation of the endometrium in postmenopausal women taking tamoxifen. J Am Assoc Gynecol Laparosc 7, 185-189. 10.1016/s1074-3804(00)80038-9.

    PubMedGoogle Scholar↩ Back to text

  5. 5

    Lee, M., Piao, J., and Jeon, M.J. (2020). Risk Factors Associated with Endometrial Pathology in Premenopausal Breast Cancer Patients Treated with Tamoxifen. Yonsei Med J 61, 317-322. 10.3349/ymj.2020.61.4.317.

    PubMedGoogle Scholar↩ Back to text

  6. 6

    Nappi, L., Indraccolo, U., Di Spiezio Sardo, A., Gentile, G., Palombino, K., Castaldi, M.A., Spinelli, M., and Greco, P. (2009). Are diabetes, hypertension, and obesity independent risk factors for endometrial polyps? J Minim Invasive Gynecol 16, 157-162. 10.1016/j.jmig.2008.11.004.

    PubMedGoogle Scholar↩ Back to text

  7. 7

    Nieuwenhuis, L.L., Hermans, F.J., Bij de Vaate, A.J.M., Leeflang, M.M., Brolmann, H.A., Hehenkamp, W.J., Mol, B.W.J., Clark, T.J., and Huirne, J.A. (2017). Three-dimensional saline infusion sonography compared to two-dimensional saline infusion sonography for the diagnosis of focal intracavitary lesions. Cochrane Database Syst Rev 5, CD011126. 10.1002/14651858.CD011126.pub2.

    PubMedGoogle Scholar↩ Back to text

  8. 8

    Grasel, R.P., Outwater, E.K., Siegelman, E.S., Capuzzi, D., Parker, L., and Hussain, S.M. (2000). Endometrial polyps: MR imaging features and distinction from endometrial carcinoma. Radiology 214, 47-52. 10.1148/radiology.214.1.r00ja3647.

    PubMedGoogle Scholar↩ Back to text

  9. 9

    Indraccolo, U., Di Iorio, R., Matteo, M., Corona, G., Greco, P., and Indraccolo, S.R. (2013). The pathogenesis of endometrial polyps: a systematic semi-quantitative review. Eur J Gynaecol Oncol 34, 5-22.

    PubMedGoogle Scholar↩ Back to text

  10. 10

    Nijkang, N.P., Anderson, L., Markham, R., and Manconi, F. (2019). Endometrial polyps: Pathogenesis, sequelae and treatment. SAGE Open Med 7, 2050312119848247. 10.1177/2050312119848247.

    PubMedGoogle Scholar↩ Back to text

  11. 11

    Peng, X., Li, T., Xia, E., Xia, C., Liu, Y., and Yu, D. (2009). A comparison of oestrogen receptor and progesterone receptor expression in endometrial polyps and endometrium of premenopausal women. J Obstet Gynaecol 29, 340-346. 10.1080/01443610902878775.

    PubMedGoogle Scholar↩ Back to text

  12. 12

    Cahill, K.N., Katz, H.R., Cui, J., Lai, J., Kazani, S., Crosby-Thompson, A., Garofalo, D., Castro, M., Jarjour, N., DiMango, E., et al. (2017). KIT Inhibition by Imatinib in Patients with Severe Refractory Asthma. N Engl J Med 376, 1911-1920. 10.1056/NEJMoa1613125.

    PubMedGoogle Scholar↩ Back to text

  13. 13

    Mukai, K., Tsai, M., Saito, H., and Galli, S.J. (2018). Mast cells as sources of cytokines, chemokines, and growth factors. Immunol Rev 282, 121-150. 10.1111/imr.12634.

    PubMedGoogle Scholar↩ Back to text

  14. 14

    Dwyer, D.F., Ordovas-Montanes, J., Allon, S.J., Buchheit, K.M., Vukovic, M., Derakhshan, T., Feng, C., Lai, J., Hughes, T.K., Nyquist, S.K., et al. (2021). Human airway mast cells proliferate and acquire distinct inflammation-driven phenotypes during type 2 inflammation. Sci Immunol 6. 10.1126/sciimmunol.abb7221.

    PubMedGoogle Scholar↩ Back to text

  15. 15

    Al-Jefout, M., Black, K., Schulke, L., Berbic, M., Luscombe, G., Tokushige, N., Manconi, F., Markham, R., and Fraser, I.S. (2009). Novel finding of high density of activated mast cells in endometrial polyps. Fertil Steril 92, 1104-1106. 10.1016/j.fertnstert.2009.02.016.

    PubMedGoogle Scholar↩ Back to text

  16. 16

    Zhang, L., Li, Q., Yang, J., Xu, P., Xuan, Z., Xu, J., and Xu, Z. (2023). Cytosolic TGM2 promotes malignant progression in gastric cancer by suppressing the TRIM21-mediated ubiquitination/degradation of STAT1 in a GTP binding-dependent modality. Cancer Commun (Lond) 43, 123-149. 10.1002/cac2.12386.

    PubMedGoogle Scholar↩ Back to text

  17. 17

    Hoffmann, W. (2020). Trefoil Factor Family (TFF) Peptides and Their Diverse Molecular Functions in Mucus Barrier Protection and More: Changing the Paradigm. Int J Mol Sci 21. 10.3390/ijms21124535.

    PubMedGoogle Scholar↩ Back to text

  18. 18

    Ju, T.C., Lin, Y.S., and Chern, Y. (2012). Energy dysfunction in Huntington’s disease: insights from PGC-1alpha, AMPK, and CKB. Cell Mol Life Sci 69, 4107-4120. 10.1007/s00018-012-1025-2.

    PubMedGoogle Scholar↩ Back to text

  19. 19

    Eferl, R., and Wagner, E.F. (2003). AP-1: a double-edged sword in tumorigenesis. Nat Rev Cancer 3, 859-868. 10.1038/nrc1209.

    PubMedGoogle Scholar↩ Back to text

  20. 20

    Ghaleb, A.M., McConnell, B.B., Nandan, M.O., Katz, J.P., Kaestner, K.H., and Yang, V.W. (2007). Haploinsufficiency of Kruppel-like factor 4 promotes adenomatous polyposis coli dependent intestinal tumorigenesis. Cancer Res 67, 7147-7154. 10.1158/0008-5472.CAN-07-1302.

    PubMedGoogle Scholar↩ Back to text

  21. 21

    Rackow, B.W., Jorgensen, E., and Taylor, H.S. (2011). Endometrial polyps affect uterine receptivity. Fertil Steril 95, 2690-2692. 10.1016/j.fertnstert.2010.12.034.

    PubMedGoogle Scholar↩ Back to text

  22. 22

    Skinnider, M.A., Squair, J.W., Kathe, C., Anderson, M.A., Gautier, M., Matson, K.J.E., Milano, M., Hutson, T.H., Barraud, Q., Phillips, A.A., et al. (2021). Cell type prioritization in single-cell data. Nat Biotechnol 39, 30-34. 10.1038/s41587-020-0605-1.

    PubMedGoogle Scholar↩ Back to text

  23. 23

    Gounaris, E., Erdman, S.E., Restaino, C., Gurish, M.F., Friend, D.S., Gounari, F., Lee, D.M., Zhang, G., Glickman, J.N., Shin, K., et al. (2007). Mast cells are an essential hematopoietic component for polyp development. Proc Natl Acad Sci U S A 104, 19977-19982. 10.1073/pnas.0704620104.

    PubMedGoogle Scholar↩ Back to text

  24. 24

    Zhai, G.T., Wang, H., Li, J.X., Cao, P.P., Jiang, W.X., Song, J., Yao, Y., Wang, Z.C., Wang, Z.Z., Wang, M.C., et al. (2018). IgD-activated mast cells induce IgE synthesis in B cells in nasal polyps. J Allergy Clin Immunol 142, 1489-1499 e1423. 10.1016/j.jaci.2018.07.025.

    PubMedGoogle Scholar↩ Back to text

  25. 25

    Martin, H.C., Derakhshan, T., and Dwyer, D.F. (2021). Insights into mast cell hyperplasia in aspirin-exacerbated respiratory disease from transcriptional profiling of polyp mast cells. Ann Allergy Asthma Immunol 126, 120-121. 10.1016/j.anai.2020.11.002.

    PubMedGoogle Scholar↩ Back to text

  26. 26

    Schwartz, L.B., Metcalfe, D.D., Miller, J.S., Earl, H., and Sullivan, T. (1987). Tryptase levels as an indicator of mast-cell activation in systemic anaphylaxis and mastocytosis. N Engl J Med 316, 1622-1626. 10.1056/NEJM198706253162603.

    PubMedGoogle Scholar↩ Back to text

  27. 27

    Lopes, R.G., Baracat, E.C., de Albuquerque Neto, L.C., Ramos, J.F., Yatabe, S., Depesr, D.B., and Lippi, U.G. (2007). Analysis of estrogen- and progesterone-receptor expression in endometrial polyps. J Minim Invasive Gynecol 14, 300-303. 10.1016/j.jmig.2006.10.022.

    PubMedGoogle Scholar↩ Back to text

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