Regulatory Enhancer Profiling of Mesenchymal-type Gastric Cancer Reveals Subtype-Specific Epigenomic Landscapes and Targetable Vulnerabilities
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE186521 | GEO | 2023/08/16
REPOSITORIES: GEO
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Project description:Glucocorticoids (GCs) are widely prescribed effective drugs, but their clinical use is compromised by severe side effects including hyperglycemia, hyperlipidemia and obesity. They bind to the Glucocorticoid Receptor (GR), which acts as a ligand-gated transcription factor. The transcriptional activation of metabolic genes by GR is thought to underlie these undesired adverse effects. Using mouse genetics, ChIP-Seq, RNA-Seq and ChIP-MS, we found that the bHLH transcription factor E47 is required for the regulation of hepatic glucose and lipid metabolism by GR in vivo, and that loss of E47 prevents the development of hyperglycemia and hepatic steatosis in response to GCs. Here we show that E47 and GR co-occupy metabolic promoters and enhancers. E47 is needed for the efficient binding of GR to chromatin and for the adequate recruitment of coregulators such as Mediator. Taken together, our results illustrate how GR and E47 regulate hepatic metabolism, and how inhibition of E47 might provide an entry point for novel GC therapies with reduced side effect profiles. These ChIP-MS data sets show IPs for GR in both wildtype and E47 mutant mouse livers treated with the synthetic glucocorticoid Dexamethasone.
2018-11-22 | PXD010157 | Pride
Project description:TEA domain transcription factor 1 (TEAD1), a Hippo pathway transcription factor important in cellular homeostasis and development, is increasingly implicated in cancer biology. Here, we reveal a novel role for TEAD1 in organizing nuclear condensates, independent of active transcription. Using high-resolution imaging, ChIP-seq, RNA-seq and proximity-based proteomics, we demonstrate that in patient-derived renal cell carcinoma cells, TEAD1 forms micron-sized foci by binding to the heterochromatic pericentromeric regions using its DNA-binding domain. These TEAD1 foci do not mediate transcription but instead serve as depots for excess TEAD1. This contrasts with TEAD1 organization in other genomic regions of both RCC and normal kidney cells, where TEAD1 associates with markers of active transcription. Our findings provide a mechanistic framework for TEAD1’s dual regulatory roles, offering new insights into its contribution to transcriptional dysregulation and tumor progression.
2025-06-02 | PXD064255 | Pride
Project description:TEA domain transcription factor 1 (TEAD1), a Hippo pathway transcription factor important in cellular homeostasis and development, is increasingly implicated in cancer biology. Here, we reveal a novel role for TEAD1 in organizing nuclear condensates, independent of active transcription. Using high-resolution imaging, ChIP-seq, RNA-seq and proximity-based proteomics, we demonstrate that in patient-derived renal cell carcinoma cells, TEAD1 forms micron-sized foci by binding to the heterochromatic pericentromeric regions using its DNA-binding domain. These TEAD1 foci do not mediate transcription but instead serve as depots for excess TEAD 1. This contrasts with TEAD1 organization in other genomic regions of both RCC and normal kidney cells, where TEAD1 associates with markers of active transcription. Our findings provide a mechanistic framework for TEAD1’s dual regulatory roles, offering new insights into its contribution to transcriptional dysregulation and tumor progression.
2026-04-27 | PXD072858 | Pride
Project description:Glucocorticoids (GCs) are key mediators of stress response and are widely used as pharmacological agents to treat immune diseases, such as asthma and inflammatory bowel disease, and certain types of cancer. GCs act mainly by activating the GC receptor (GR), which interacts with other transcription factors to regulate gene expression. Here, we combined different functional genomics approaches to gain molecular insights into the mechanisms of action of GC. By profiling the transcriptional response to GC over time in 4 Yoruba (YRI) and 4 Tuscans (TSI) lymphoblastoid cell lines (LCLs), we suggest that the transcriptional response to GC is variable not only in time, but also in direction (positive or negative) depending on the presence of specific interacting TFs. Accordingly, when we performed ChIP-seq for GR and NF-kB in two YRI LCLs treated with GC or with vehicle control, we observed that features of GR binding sites differ for up- and down-regulated genes. Finally, we show that eQTLs that affect expression patterns only in the presence of GC are 1.9-fold more likely to occur in GR binding sites, compared to eQTLs that affect expression only in its absence. Our results indicate that genetic variation at GR and interacting transcription factors binding sites influences variability in gene expression, and attest to the power of combining different functional genomic approaches. GR and NFkB ChIP-seq in lymphoblastoid cell lines treated with either dexamethasone or EtOH (vehicle for dexamethasone) for 1 hour.
2013-04-01 | E-GEOD-45638 | biostudies-arrayexpress
Project description:Mathematical modeling of immune modulation by glucocorticoids
Konstantin Yakimchuk
https://doi.org/10.1016/j.biosystems.2019.104066
Abstract
The cellular and molecular mechanisms of immunomodulatory actions of glucocorticoids (GC) remain to be identified. Using our experimental findings, a mathematical model based on a system of ordinary differential equations for characterization of the regulation of anti-tumor immune activity by the both direct and indirect GC effects was generated to study the effects of GC treatment on effector CD8+ T cells, GC-generated tolerogenic dendritic cells (DC), regulatory T cells and the growth of lymphoma cells. In addition, we compared the data from in vivo and in silico experiments. The mathematical simulations indicated that treatment with GCs may suppress anti-tumor immune response in a dose-dependent manner. The model simulations were in line with earlier experimental observations of inhibitory effects of GCs on T and NK cells and DCs. The results of this study might be useful for predicting clinical outcomes in patients receiving GC therapy.
2020-01-06 | MODEL1912170005 | BioModels
Project description:<p>This project aims to conduct genome-wide association studies (GWAS) in two anatomically different upper gastrointestinal (UGI) cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cell carcinomas (ESCCs) and gastric cancers (GCs) and is comprised of Asians (<b>the "Asian UGI GWAS"</b>), while the other population has low rates of ESCC and GC and includes non-Asians from the Americas, Europe, and Australia (<b>the "Non-Asian UGI GWAS"</b>).</p> <p>Study participants for the Asian UGI GWAS reported here (Illumina 660W Quad chip) were drawn from 2 studies, the Shanxi Upper Gastrointestinal Cancer Genetics Project (Shanxi) and the Linxian Nutrition Intervention Trial (NIT), a prospective cohort, and included a total of 1898 ESCCs, 1625 GCs, and 2100 controls. For the 2nd phase (8 TaqMan SNPs), additional subjects from Shanxi and NIT as well as subjects from the Shanghai Men's Health Study (SMHS), the Shanghai Women's Health Study (SWHS), and the Singapore Chinese Health Study (SCHS) were also included (217 ESCCs, 615 GCs, 1202 controls). Altogether 2115 ESCCs, 2240 GCs, and 3302 controls were genotyped in this study.</p>
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| S-EPMC12830624 | biostudies-literature
Project description:The glucocorticoid receptor (GR) binds the human genome at >10,000 sites, but only regulates the expression of hundreds of genes. To determine the functional effect of each site, we measured the glucocorticoid (GC) responsive activity of nearly all GR binding sites (GBSs) captured using chromatin immunoprecipitation (ChIP) in A549 cells. 13% of GBSs assayed had GC-induced activity. The responsive sites were defined by direct GR binding via a GC response element (GRE) and exclusively increased reporter- gene expression. Meanwhile, most GBSs lacked GC-induced reporter activity. The non-responsive sites had epigenetic features of steady state enhancers and clustered around direct GBSs. Together, our data support a model in which clusters of GBSs observed with ChIP-seq reflect interactions between direct and tethered GBSs over tens of kilobases. We further show that those interactions can synergistically modulate the activity of direct GBSs, and may therefore play a major role in driving gene activation in response to GCs. Glucoroticoid receptor binding site chip-seq libraries were cloned into STARR-seq for massively parallel functional analysis. The results were confirmed by ChIP-Exo performed on the GR in A549 cells treated with 100 nM dexamethasone for one hour. This dataset [8] contains ChIP-seq data for A549 cells treated with DEX or EtOH for 3 hours.
2016-08-25 | E-GEOD-79431 | biostudies-arrayexpress
Project description:The glucocorticoid receptor (GR) binds the human genome at >10,000 sites, but only regulates the expression of hundreds of genes. To determine the functional effect of each site, we measured the glucocorticoid (GC) responsive activity of nearly all GR binding sites (GBSs) captured using chromatin immunoprecipitation (ChIP) in A549 cells. 13% of GBSs assayed had GC-induced activity. The responsive sites were defined by direct GR binding via a GC response element (GRE) and exclusively increased reporter- gene expression. Meanwhile, most GBSs lacked GC-induced reporter activity. The non-responsive sites had epigenetic features of steady state enhancers and clustered around direct GBSs. Together, our data support a model in which clusters of GBSs observed with ChIP-seq reflect interactions between direct and tethered GBSs over tens of kilobases. We further show that those interactions can synergistically modulate the activity of direct GBSs, and may therefore play a major role in driving gene activation in response to GCs. Glucoroticoid receptor binding site chip-seq libraries were cloned into STARR-seq for massively parallel functional analysis. The results were confirmed by ChIP-Exo performed on the GR in A549 cells treated with 100 nM dexamethasone for one hour. Dnase-seq was performed on A549 cells treated for 1 h with dexamethasone or ethanol.
2016-08-25 | E-GEOD-77869 | biostudies-arrayexpress