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Reciprocal genetic screens identify epigenetics factors controlling epidermal cell activation. [ChIP-Seq]

GSE276621 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 36 samples Submitted 2026/06/30 Platform GPL19057Platform GPL32159
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 36 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
36 samples: 28 distinct titles, 8 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)
In adult tissues, in response to injury or to the acquisition of a mutational landscape, epithelial stem cells leave their homeostatic state and become activated. To identify the epigenetic factors involved in this process we performed pooled genetic screens integrated with two transcriptional read out systems. These revealed a network of factors including Kmt5c (Suv420h2), Ehmt2 and Cbx3.
Read the full summary ↓
Through a series of omics and cellular functional assays we discovered their functional role at the cellular and molecular level. In particular we identified a multi-layered control of gene expression, dependent by Cbx3, ranging from transcriptional regulation to mRNA localization.
This dataset
Open GSE276621 in finder → Find more mouse 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 GSE276621_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 PRJNA1158241 and SRA study SRP531288. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
28 distinct titles, 8 of them repeated
ChIPseq_Cbx3_sh12_1_Ac ×2 ChIPseq_Cbx3_sh12_1_input ×2 ChIPseq_Cbx3_sh33_1_Ac ×2 ChIPseq_Cbx3_sh33_1_input ×2 ChIPseq_Cbx3_shscramble_1_Ac ×2 ChIPseq_Cbx3_shscramble_1_input ×2 Cbx3 ×2 input ×2

How we read this: Read from 36 sample titles: 28 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
Datasets on a similar topic

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