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Hypoxia-responsive interaction between Cyclin T1, BHLHE40, and Tim8-Tim13 regulates RNA Polymerase II

GSE293152 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 43 samples Submitted 2026/04/10 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 43 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)
Samples
43 samples: 43 samples, each with a distinct title — no replicated groupsGroups 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.
Paper
Hypoxia-responsive interaction between P-TEFb, BHLHE40, and Tim8-Tim13 regulates hypoxic gene transcriptionScience advances · 2026
Summary (written by the submitters)
P-TEFb regulates the pause release checkpoint on transcription by RNA Polymerase II. We sought hypoxia-specific interactions that could direct PTEF-b activity to hypoxia-responsive genes. Using a biochemical purification approach, we discovered a hypoxia-specific, chromatin-associated interaction between the P-TEFb subunit Cyclin T1 (CCNT1), the mitochondrial chaperone Tim8-Tim13 complexes, and the hypoxia-inducible, DNA-binding transcription factor BHLHE40.
Read the full summary ↓
This interaction is conserved across diverse cell line models. Tim8-Tim13 complex disruption and BHLHE40 silencing both impair the transcriptional response to acute hypoxia by RNAPII in DLD-1 cells. HIF is not involved in the CCNT1/BHLHE40/Tim8-Tim13 interaction, and BHLHE40 expression is not entirely HIF-dependent: neither genetic HIF-1β knockout nor pharmacological inhibition of HIF-2α using belzutifan eliminates BHLHE40. Finally, BHLHE40 depletion compromises the proliferation of 786-O clear cell renal carcinoma cells, which constitutively express HIF-2α and hypoxia-responsive genes. Together, these findings reveal a HIF-independent regulatory axis in which Tim8a-Tim13 complexes and BHLHE40 that modulate PTEF-b activity in the transcriptional response to hypoxia.
Published in
Hypoxia-responsive interaction between P-TEFb, BHLHE40, and Tim8-Tim13 regulates hypoxic gene transcription
Soliman SHA, De Fabritiis S, Iwanaszko M et al. · Science advances 2026 · PMID 42160428 · doi:10.1126/sciadv.adz9295
This dataset
Open GSE293152 in finder → Find more human ChIP / ATAC / CUT&Tag datasets →
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 GSE293152_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 PRJNA1242900 and SRA study SRP573700. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42160428) ↗
Study design
43 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 43 sample titles: 43 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

+ 3 more — browse all 43 samples with per-sample file links →

Datasets on a similar topic

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