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Accessible chromatin profile of early life and adult origin B cell populations

GSE309960 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 26 samples Submitted 2026/03/23 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 26 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
26 samples: 8 conditions, mostly in triplicateGroups 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
Early-life B cell memory is archived in the mouse B-1 cell compartment and drives chronic lymphocytic leukemia-like diseaseCell reports · 2026
Summary (written by the submitters)
The adult B cell pool is a developmental mosaic comprising cells of early life (ELO) and adult origin. To further understdand the differences between B cells of each origin we used a genetic time stamping approach to lable ELO B cells and FACS isolate from the spleen naive follicular and marginal zone B cells, B1 B cells from the peritoneal cavity, and memory B cells (MBC) from the peyer's patch. The assay for transposase accessible chromatin sequencing (ATAC-seq) was performed on each population to identify epigenetic programming that corresponded to ELO versus adult derived B cells.
Published in
Early-life B cell memory is archived in the mouse B-1 cell compartment and drives chronic lymphocytic leukemia-like disease
Segrén N, Vergani S, Escrivà-Font J et al. · Cell reports 2026 · PMID 41894393 · doi:10.1016/j.celrep.2026.117202
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 GSE309960_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 PRJNA1364052 and SRA study SRP644566. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
PerC_B1_Tpos ×4 PerC_B1_Tneg ×4 Spleen_FoB_Tpos ×3 Spleen_FoB_Tneg ×3 Spleen_MzB_Tpos ×3 Spleen_MzB_Tneg ×3 PP_MBC_Tpos ×3 PP_MBC_Tneg ×3

Supports a between-group comparison across 26 samples.

How we read this: 8 replicated groups read from 26 sample titles; they account for 26 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
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.