ChIP-seq analysis of HIF-1b binding in hypoxic cancer cell lines
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA542174 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9037140_1.fastq.gz | Fastqsanger.gz | |||
| SRR9037140_2.fastq.gz | Fastqsanger.gz | |||
| SRR9037133_1.fastq.gz | Fastqsanger.gz | |||
| SRR9037133_2.fastq.gz | Fastqsanger.gz | |||
| SRR9037134_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 16 |
Similar Datasets
Project description:Pan-genomic analysis of hypoxic HIF-1b binding by ChIP-seq in cancer cell lines
2019-12-31 | GSE130989 | GEO
Project description:Pan-genomic analysis of hypoxic HIF-1a and HIF-2a binding by ChIP-seq in cancer cell lines
2022-11-15 | GSE200203 | GEO
Project description:ChIP-seq analysis of HIF-1a and HIF-2a binding in hypoxic cancer cell lines
| PRJNA823676 | ENA
Project description:Analysis of the binding sites of Hif-1α in both wild-type and von Hippel Lindau mutant zebrafish lines at 4dpf by ChIP linked next generation sequencing. The von Hippel Lindau mutant displays a systemic hypoxic response under normoxic conditions. Results show the extent of Hif-1α binding to the genome, and provide a basis for analysis of the transcriptional response to genetically induced hypoxia in zebrafish. Analysis of the DNA binding sites of Hif-1α in both wild-type and von Hippel Lindau mutant zebrafish lines at 4dpf. The von Hippel Lindau mutant displays a systemic hypoxic response under normoxic conditions. Results show the extent of Hif-1α binding to the genome, and provide a basis for analysis of the dependency of the transcriptional response on Hif-1α in conditions of genetically induced hypoxia in zebrafish.
2016-03-22 | E-GEOD-70727 | biostudies-arrayexpress
Project description:HIF-1a and HIF-2a ChIP-seq and RNA-seq of hypoxic cancer cell lines
| PRJNA823670 | ENA
Project description:Macrophages (MФ) skewn towards a regulatory-like phenotype are known to promote tumor progression. They tend to accumulate in hypoxic tumor areas and activate hypoxia-inducible factors (HIF-1 and HIF-2). HIFs are known to alter the gene expression profile of MФ. To define direct HIF-1 and HIF-2 target genes in hypoxic and IL-10 treated human MФ we used chromatin immuno-precipitation-sequencing (ChIP-seq) and microarray analysis on a genome-wide scale.
2014-10-31 | GSE43109 | GEO
Project description:Analysis of the binding sites of Hif-1α in both wild-type and von Hippel Lindau mutant zebrafish lines at 4dpf by ChIP linked next generation sequencing. The von Hippel Lindau mutant displays a systemic hypoxic response under normoxic conditions. Results show the extent of Hif-1α binding to the genome, and provide a basis for analysis of the transcriptional response to genetically induced hypoxia in zebrafish.
2016-03-22 | GSE70727 | GEO
Project description:Low-oxygen tolerance is supported by an adaptive response that includes a coordinate shift in metabolism and the activation of a transcriptional program that is driven by the hypoxia-inducible factor (HIF) pathway. The precise contribution of HIF-1 in the adaptive response, however, has not been determined. Here we investigate how HIF-1 influences hypoxic adaptation throughout Drosophila development. We find that hypoxic-induced transcriptional changes are comprised of HIF-dependent and HIF-independent pathways that are distinct and separable. We show that normoxic set-points of carbohydrate metabolites are significantly altered in dHIF mutants and that these animals are unable to mobilize glycogen in hypoxia. Furthermore, we find that the estrogen-related receptor (dERR), which is a global regulator of aerobic glycolysis in larvae, is required for a competent hypoxic response. dERR binds to dHIF and participates in the HIF-dependent transcriptional program in hypoxia. In addition, dERR acts in the absence of dHIF in hypoxia and a significant portion of HIF-independent transcriptional responses can be attributed to dERR actions, including upregulation of glycolytic transcripts. These results indicate that competent hypoxic responses arise from complex interactions between HIF-dependent and -independent mechanisms, and that dERR plays a central role in both of these programs.
2013-02-05 | GSE33100 | GEO
Project description:The adaptive responses to oxygen depletion orchestrated by hypoxia-inducible factors (HIFs) produce profound effects on multiple pathways. A canonical metabolic response is enhanced fermentation, but this can generate an unfavorably acidic environment under poor capillary perfusion. It is unclear how cells balance the metabolic benefits of hypoxic responses against knock-on consequences on acid-base homeostasis. We studied the interplay between hypoxia and acidosis on HIF signaling in colorectal cancer cell lines that can survive acidic conditions. Hypoxia stabilized HIF-1α, but this effect was transient in combination with acidosis. By 48 h, HIF-1α induction decreased in proportion to acidification. Proteomic analyses identified responses that followed HIF-1α, including canonical HIF targets (CA9, PDK1), but these did not reflect a proteome-wide downregulation. Responses to acidosis and hypoxia were enriched in lysosomal proteins, but not proteasomal components, implicating the former degradation pathway in transient HIF-1α activation under acidosis. Moreover, HIF-1α decay was not due to decreased HIF1A transcription but was blocked by lysosomal inactivation (bafilomycin-A1). Acidotic hypoxia increased the abundance of lysosomes and activated autophagy by disabling the inhibitory influence of mammalian target of rapamycin complex 1, resulting in HIF-1α degradation. By blocking HIF-driven fermentative upregulation, this mechanism protects the cellular environment from deleterious acid-overloading, an outcome that outweighs the biosynthetic benefits of raised glycolytic flux under suppressed respiration. Thus, alkaline conditions are permissive for at least some aspects of HIF-1α signaling, but may not reflect tumor microenvironment chemistry. Consequently, acidic hypoxic tumor regions may not necessarily overlay with sites of HIF induction
2025-06-30 | PXD062474 | Pride
Project description:Low-oxygen tolerance is supported by an adaptive response that includes a coordinate shift in metabolism and the activation of a transcriptional program that is driven by the hypoxia-inducible factor (HIF) pathway. The precise contribution of HIF-1 in the adaptive response, however, has not been determined. Here we investigate how HIF-1 influences hypoxic adaptation throughout Drosophila development. We find that hypoxic-induced transcriptional changes are comprised of HIF-dependent and HIF-independent pathways that are distinct and separable. We show that normoxic set-points of carbohydrate metabolites are significantly altered in dHIF mutants and that these animals are unable to mobilize glycogen in hypoxia. Furthermore, we find that the estrogen-related receptor (dERR), which is a global regulator of aerobic glycolysis in larvae, is required for a competent hypoxic response. dERR binds to dHIF and participates in the HIF-dependent transcriptional program in hypoxia. In addition, dERR acts in the absence of dHIF in hypoxia and a significant portion of HIF-independent transcriptional responses can be attributed to dERR actions, including upregulation of glycolytic transcripts. These results indicate that competent hypoxic responses arise from complex interactions between HIF-dependent and -independent mechanisms, and that dERR plays a central role in both of these programs. Fly eggs were collected onto egg caps with yeast paste . The caps were replaced after overnight incubation periods and kept at 25M-BM-:C, until mid-L2. At mid-L2, larvae were transferred to a fresh egg cap with blue yeast paste (0.3% bromophenol blue), and allowed to develop until achieving the partial clear gut L3 stage (-10 to -4 hrs prior to metamorphic onset). Appropriately staged animals were moved to fresh agar plates and allowed to age an additional 6 hours at 25M-BM-:C (normoxic treatment). Alternatively, animals were placed in an airtight Modular Incubator Chamber for 6 hours at 25M-BM-:C after a gas mixture containing 4% oxygen balanced with nitrogen was flashed into the chamber (hypoxic treatment). Mutant larvae were sorted for the absence of GFP expression using dissecting stereoscope with fluorescence at mid-L2. Microarray analyses were performed on at least three biological replicates of w1118, dHIF mutants, or dERR mutants at the partial clear gut third instar larval stage and were treated for 6 hours in normoxia or 4% O2. For each biological replicate, at least 10 larvae were collected and washed with 1M-CM-^WPBS. Larvae were placed in TRIzol (Invitrogen, Carlsbad, CA) and homogenized using VWR disposable pellet mixer. Total RNA was isolated using a TRIzol/RQ1 DNase (Promega, Madison, WI) hybrid extraction protocol. Template labelings were performed using the GeneChip 3' IVT Express Kit according to the manufacturerM-bM-^@M-^Ys specifications (Affymetrix, Santa Clara, CA). Hybridizations to Affymetrix GeneChip Drosophila Genome 2.0 arrays were performed using the manufacturers recommendations. Every chip was scanned at a high resolution by the Affymetrix GeneChipM-BM-. Scanner 3000 according to the GeneChip Expression Analysis Technical Manual procedures (Affymetrix, Santa Clara, CA).
2013-02-05 | E-GEOD-33100 | biostudies-arrayexpress