← BioTransfer GEO Dataset Finder
GEO series

Transcriptional profiling of memory B cells that form during influenza infection of majorhistocompatibility class II (MHC-II) knockout mice.

GSE307545 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/02/21 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
Transcriptional programming of early-forming memory B cells arises independently of cognate CD4+ T-cell interactionsJournal of immunology (Baltimore, Md. : 1950) · 2026
Summary (written by the submitters)
To evaluate the programming of activated B cells and memory B cell subsets that form in the absence of CD4 T cells we infected wilt-type (WT) and majorhistocompatibility class II (MHC-II) knockout mice with influenza PR8 and profiled the response at day 14, a time point when T cell independent memory responses arise. We isolated activated, dividing B cells which give rise to memory subsets as well as IgM and class-switched memory B cells from both cohorts of animals. These studies identify the memory B cell programming that is dependent on CD4 T cells.
Published in
Transcriptional programming of early-forming memory B cells arises independently of cognate CD4+ T-cell interactions
Wiggins KJ, Williams ME, Hicks SL et al. · Journal of immunology (Baltimore, Md. : 1950) 2026 · PMID 42001515 · doi:10.1093/jimmun/vkag054
This dataset
Open GSE307545 in finder → Find more mouse RNA-seq 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 GSE307545_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1322185 and SRA study SRP618600. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42001515) ↗
Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 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

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.