← BioTransfer GEO Dataset Finder
GEO series

HIF2ɑ Requires Engagement with YAP/TAZ and AP-1 Transcription Factors to Maintain Oncogenic Transcription in Clear Cell Renal Cell Carcinoma [CUT&Tag]

GSE295183 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 60 samples Submitted 2026/03/31 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 60 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Topic
Kidney cancerThis series is part of our curated briefing on it.
Samples
60 samples: 48 distinct titles, 7 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Clear Cell Renal Cell Carcinoma (ccRCC) is characterized by loss of tumor suppressor von Hippel-Lindau (VHL), leading to activation of Hypoxia-inducible Factor 2ɑ (HIF2ɑ) oncogenic transcription factor and pseudo-hypoxia. Integrated analysis of public ccRCC multi-omic datasets revealed frequent inactivation of the Hippo tumor suppressor pathway and corresponding increase in YAP/TAZ transcription activity in ccRCC tumors, which is associated with worse overall survival in treatment naïve patients.
Read the full summary ↓
By combining Cut&Tag and BRB-seq analysis, we assessed the chromatin binding and gene regulation of YAP and HIF2ɑ, and unveiled that these two proteins are co-recruited to AP-1 sites through interactions with the AP-1 transcription factors. YAP/TAZ, HIF2ɑ and JUN are dependent on each other to maintain their expression, and function cooperatively to promote the expression of highly expressed transcription factors and other important oncogenes. Our findings not only revealed the therapeutic potentials of adjunct YAP/TAZ-based therapies in the treatment of advanced ccRCC, but also revealed novel mechanistic insights into the dynamic interactions among YAP, HIF2ɑ and AP-1 proteins that could be further exploited to improve treatment for ccRCC.
This dataset
Open GSE295183 in finder → Find more human ChIP / ATAC / CUT&Tag datasets → Kidney cancer landscape →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE295183_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1253665 and SRA study SRP580324. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
48 distinct titles, 7 of them repeated
cJUN_786O_Parental ×3 HIF2a_786O_Parental ×3 JUNB_786O_Parental ×3 JUND_786O_Parental ×3 YAP_786O_Parental ×3 H3K27ac_786O_Parental ×2 H3K4me3_786O_Parental ×2

How we read this: Read from 60 sample titles: 48 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 20 more — browse all 60 samples with per-sample file links →

More Kidney cancer datasets

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.