← BioTransfer GEO Dataset Finder
GEO series

Early life B cell memory is archived in the mouse B-1 cell compartment and drives Chronic Lymphocytic Leukemia-like disease [scRNA-seq]

GSE314339 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2026/03/09 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 2 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
2 samples
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)
The adult B cell pool is a developmental mosaic comprising short-lived naïve B cells and long-lived memory. Using genetic time-stamping, we previously showed that early life origin (ELO) B cells contributed substantially to the adult mouse immune system. In this study, we found that ELO B cells share a memory-like signature. Notably, B-1 cells exhibited an enrichment for the PD-L2/CD80 double positive (DP) immunophenotype associated with highly differentiated memory.
Read the full summary ↓
Indeed, microbial antigen exposure in neonates expanded distinct specificities within the DP B-1 cell compartment, identifying the latter as a reservoir of IgM memory. B cell chronic lymphocytic leukemia (CLL) is a disease marked by the accumulation of memory-like B cells. By applying time-stamping to a mouse model for unmutated CLL (U-CLL), we demonstrated that leukemic expansion is driven by B-1 cell clones arising prior to postnatal day 10. Importantly, B-1 cells in mice and man closely mirrored the molecular profile of U-CLL. These results suggest that an age-associated leukemia can originate from ELO B cells.
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 GSE314339_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1391006 and SRA study SRP656768. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 2 more — browse all 2 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq 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.