← BioTransfer GEO Dataset Finder
GEO series

Decoding the YAP/TAZ–PPARγ Regulatory Axis in Adipocyte Differentiation and Dedifferentiation [ChIP-seq]

GSE277188 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 46 samples Submitted 2025/12/16 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 46 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
Mus musculus (mouse)
Samples
46 samples: 36 distinct titles, 10 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.
Paper
YAP/TAZ-VGLL3 governs adipocyte fate via epigenetic reprogramming of PPARγ and its target enhancersScience advances · 2026
Summary (written by the submitters)
The transcriptional coregulators YAP and TAZ control tissue homeostasis as downstream effectors of the Hippo signaling pathway. The molecular mechanisms by which they regulate cell differentiation or dedifferentiation have remained unclear, however. Here we reveal how YAP/TAZ regulates the transcription and genomic activity of the adipocyte lineage-specification factor PPARγ at the chromatin level.
Read the full summary ↓
TAZ binds to the Pparg2 genomic region and to PPARγ target gene enhancers, thereby inducing chromatin reprogramming and transcriptional repression. Binding to TEAD transcription factors is essential for this repressive action of TAZ, but direct protein interaction with PPARγ via the WW domain of TAZ is not. Single-nucleus genomic analyses of mouse adipose tissue revealed that YAP/TAZ hyperactivation drives extensive epigenetic changes and the dedifferentiation of adipocytes. Collectively, our findings indicate that YAP/TAZ determine adipocyte fate by modulating the expression of a key transcription factor and the enhancer landscape of its target genes.
Published in
YAP/TAZ-VGLL3 governs adipocyte fate via epigenetic reprogramming of PPARγ and its target enhancers
Seol T, Kang JG, Ryu K et al. · Science advances 2026 · PMID 41533786 · doi:10.1126/sciadv.aea7235
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 GSE277188_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 PRJNA1161157 and SRA study SRP532735. Searching any of these in the dataset finder brings you back here.

Study design
36 distinct titles, 10 of them repeated
D0_PRg ×2 D6_PPARg ×2 D6TAZ_PPARg ×2 D0_Kac ×2 D6_Kac ×2 D6TAZ_Kac ×2 D0_TAZ ×2 D6_TAZ ×2 +2 more

How we read this: Read from 46 sample titles: 36 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

+ 6 more — browse all 46 samples with per-sample file links →

Datasets on a similar topic

Search all mouse 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.