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Extensive enhancer crosstalk governs the induction of PPARG2 expression during adipogenic lineage commitment

GSE300907 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 120 samples Submitted 2026/02/05 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 120 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
120 samples: 58 conditions, mostly in duplicateGroups 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
Extensive enhancer crosstalk controls PPARG2 activation during adipogenesisNature communications · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Extensive enhancer crosstalk controls PPARG2 activation during adipogenesis
Cetnarowska A, Hyldahl M, Nygård M et al. · Nature communications 2026 · PMID 41832214 · doi:10.1038/s41467-026-70401-7
This dataset
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.

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 GSE300907_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1282649 and SRA study SRP594846. Searching any of these in the dataset finder brings you back here.

Study design
58 conditions, mostly in duplicate
Capture-C hMSC-TERT4/iCas9-4 nogRNA undiffere… ×2 Capture-C hMSC-TERT4/iCas9-4 PPP1R12C intron … ×2 Capture-C hMSC-TERT4/iCas9-4 E-130 KO undiffe… ×2 Capture-C hMSC-TERT4/iCas9-4 E-123 KO undiffe… ×2 Capture-C hMSC-TERT4/iCas9-4 E-1 KO undiffere… ×2 Capture-C hMSC-TERT4/iCas9-4 E+2 KO undiffere… ×2 Capture-C hMSC-TERT4/iCas9-4 E+89 KO undiffer… ×2 Capture-C hMSC-TERT4/iCas9-4 E+102 KO undiffe… ×2 +54 more

Supports a between-group comparison across 116 samples.

How we read this: 58 replicated groups read from 120 sample titles; they account for 116 of them. 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

+ 80 more — browse all 120 samples with per-sample file links →

Datasets on a similar topic

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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.