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Open Chromatin and HIF-binding in renal tubular cells [FAIRE-seq]

ABSTRACT: Un-physiological activation of hypoxia inducible factor (HIF) is an early event in most renal cell cancers (RCC) following inactivation of the von Hippel-Lindau tumor suppressor. Despite intense study, how this impinges on cancer development is incompletely understood. To test for the impact of genetic signals on this pathway, we aligned human RCC-susceptibility polymorphisms with genome-wide assays of HIF-binding and observed highly significant overlap. Allele-specific assays of HIF binding, chromatin conformation and gene expression together with eQTL analyses in human tumors were applied to mechanistic analysis of one such overlapping site at chromosome 12p12.1. This defined a novel stage-specific mechanism in which the risk polymorphism, rs12814794, directly creates a new HIF-binding site that mediates HIF-1? isoform specific upregulation of its target BHLHE41. The alignment of multiple sites in the HIF cis-acting apparatus with RCC-susceptibility polymorphisms strongly supports a causal model in which minor variation in this pathway exerts significant effects on RCC development.

ORGANISM(S): Homo sapiens

PROVIDER: GSE101062 | GEO | 2017/07/11

SECONDARY ACCESSION(S): PRJNA393659

REPOSITORIES: GEO

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Open Chromatin and HIF-binding in renal tubular cells [ChIP-seq]

Project description:Un-physiological activation of hypoxia inducible factor (HIF) is an early event in most renal cell cancers (RCC) following inactivation of the von Hippel-Lindau tumor suppressor. Despite intense study, how this impinges on cancer development is incompletely understood. To test for the impact of genetic signals on this pathway, we aligned human RCC-susceptibility polymorphisms with genome-wide assays of HIF-binding and observed highly significant overlap. Allele-specific assays of HIF binding, chromatin conformation and gene expression together with eQTL analyses in human tumors were applied to mechanistic analysis of one such overlapping site at chromosome 12p12.1. This defined a novel stage-specific mechanism in which the risk polymorphism, rs12814794, directly creates a new HIF-binding site that mediates HIF-1? isoform specific upregulation of its target BHLHE41. The alignment of multiple sites in the HIF cis-acting apparatus with RCC-susceptibility polymorphisms strongly supports a causal model in which minor variation in this pathway exerts significant effects on RCC development.

2017-07-11 | GSE101063 | GEO

Genome-wide mapping of HIF-2 binding in 786-O clear cell renal carcinoma cells

Project description:Kidney cancer accounts for more than 100,000 deaths per year world-wide. More than 80% are clear cell tumors (ccRCCs) and the majority are associated with loss of function of the von Hippel Lindau (pVHL) tumor suppressor resulting in upregulation of HIF-{alpha} subunits, and activation of HIF-dependent transcriptional pathways. Recent GWAS studies have discovered RCC-susceptibility loci both within EPAS1 (HIF-2{alpha}) and in an intergenic region of unknown function on 11q13.3. As part of an ongoing study to define the direct transcriptional targets of HIF-2 in renal cancer, we undertook a genome-wide analysis of HIF-2-binding sites in pVHL-defective 786-O cells (that lack functional HIF-1{alpha} due to a truncated transcript) using chromatin immunoprecipitation with antibodies directed against HIF-2{alpha} and its dimerization partner HIF-1{beta}, coupled to high-throughput sequencing (ChIP-seq). Amongst approximately 600 pangenomic HIF-2{beta} ChIP signals, we observed strong binding (ranked 12th by peak height) almost precisely coinciding with the RCC predisposition SNP rs7105934 on 11q13.3. We report binding of HIF-2{alpha} and HIF-1{beta} in 786-O clear cell renal carcinoma cells. 3 samples examined, HIF-2{alpha}, HIF-1{beta} and pre-immune control ChIP.

2012-02-01 | E-GEOD-34871 | biostudies-arrayexpress

Genome-wide mapping of HIF-2 binding in 786-O clear cell renal carcinoma cells

2012-02-01 | GSE34871 | GEO

IGR_MESSAI_CCRCC_HIF2

Project description:The aim of the present study was to investigate the potential role of HIF-2a in regulating RCC susceptibility to natural killer (NK) cell-mediated killing. We demonstrated that the RCC cell line 786-O with mutated VHL was resistant to NK-mediated lysis as compared to the VHL corrected cell line (WT7). This resistance was independent of immunological synapse formation and NK ligand expression but was found to be reliant on HIF-2a stabilization in 786-0 cells. In order to elucidate the molecular basis of HIF-2a-induced impairment of NK-mediated killing, we performed global gene analysis using DNA microarray. Three candidate genes (ANGPTL4, ADM and ITPR1) were selected on the basis of their fold change and their involvement in cell death and survival. SiRNA targeting of these genes revealed that only ITPR1 silencing resulted in a significant increase of 786-O susceptibility to NK-mediated lysis. Using gene silencing of HIF2-a and chromatin immunoprecipitation assay, we showed for the first time that ITPR1 was a direct novel target of HIF2-a. Notably, a strong and significant correlation was found between ITPR1and HIF2-a staining in RCC patients. Transcriptional profiling of ITPR1silenced RCC cells indicated that several important genes involved in cell survival and apoptosis were differentially regulated. Using ITPR1 silenced Renca cells, we further found that ITPR1 was involved in the control of tumor progression. Moreover ITPR1 targeting combined with NK depletion significantly enhanced tumor growth as compared to ITPR1 knocked down Renca xenografts. Our data provide insights into the link between HIF-2a, ITPR1-related pathway and natural immunity and suggest a role of the HIF2/ITPR1 axis in regulating RCC cell survival.

2014-01-11 | E-MTAB-1802 | biostudies-arrayexpress

Co-incidence of RCC-susceptibility polymorphisms with HIF cis-acting sequences supports a pathway tuning model of cancer

Project description:Co-incidence of RCC-susceptibility polymorphisms with HIF cis-acting sequences supports a pathway tuning model of cancer

| PRJNA542169 | ENA

Gene expression analysis in primary human renal tumors, categorized by VHL genotype and HIF-alpha expression

Project description:Human renal cell carcinomas (RCC) have differential expression of HIF-1alpha and HIF-2alpha, depending on VHL genotype and other events. Here, we have divided a series of RCC samples for HIF-alpha expression and VHL genotype, in order to define differentially expressed genes Keywords: Patient Sample Study A total of 57 frozen RCC samples were stained for HIF-1alpha and HIF-2alpha, and genotyped for VHL. 5 VHL WT/HIF-negative, 8 VHL-deficient/HIF-1alpha+/HIF-2alpha+ and 8 VHL-deficient/HIF-2alpha+ tumors were selected for microarray

2008-12-27 | E-GEOD-11904 | biostudies-arrayexpress

Array CGH analysis in primary human renal tumors, categorized by VHL genotype and HIF-alpha expression

Project description:Human renal cell carcinomas (RCC) have differential expression of HIF-1alpha and HIF-2alpha, depending on VHL genotype and other events. Here, we have divided a series of RCC samples based on HIF-alpha expression, in order to examine levels of genomic DNA aberration. Keywords: Patient Sample Study A total of 57 frozen RCC samples were stained for HIF-1alpha and HIF-2alpha, and genotyped for VHL. 10 VHL-deficient/HIF-1alpha+/HIF-2alpha+ and 11 VHL-deficient/HIF-2alpha+ tumors were selected for array CGH.

2008-12-27 | E-GEOD-13282 | biostudies-arrayexpress

Array CGH analysis in primary human renal tumors, categorized by VHL genotype and HIF-alpha expression

2008-12-27 | GSE13282 | GEO

Gene expression analysis in primary human renal tumors, categorized by VHL genotype and HIF-alpha expression

2008-12-27 | GSE11904 | GEO

Gene expression analysis in renal cell carcinoma

Project description:Renal cell carcinoma (RCC) tumors express varying gene profiles, dependent on VHL and HIF status, as well as other events. Here we analyzed a series of RCC tumors for HIF-alpha expression and VHL genotype, in relation to overal gene expression profiles. Keywords: Patient sample study

2008-10-18 | GSE11985 | GEO

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