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TGF-β specifies TFH versus TH17 cell fates in murine CD4+ T cells through c-Maf (Seq05, bulk-RNAseq)

GSE243257 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/03/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 × Seq05_TfhA vs 6 × Seq05_Tfh1 vs 6 × Seq05_Tfh5Groups 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
TGF-β specifies T(FH) versus T(H)17 cell fates in murine CD4(+) T cells through c-MafScience immunology · 2024
Summary (written by the submitters)
We have shown that TGFb in combination with IL-6 potently induces a T follicular helper cell (Tfh) cell phenotype in activated murine CD4+ T cells in vitro. The transcription factor c-Maf critically contributes to the differentiation of Tfh cells in vitro and in vivo.
Published in
TGF-β specifies T(FH) versus T(H)17 cell fates in murine CD4(+) T cells through c-Maf
Chang Y, Bach L, Hasiuk M et al. · Science immunology 2024 · PMID 38427718 · doi:10.1126/sciimmunol.add4818
This dataset
Open GSE243257 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 GSE243257_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 PRJNA1017491 and SRA study SRP460600. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38427718) ↗
Study design
6 × Seq05_TfhA vs 6 × Seq05_Tfh1 vs 6 × Seq05_Tfh5

Supports a between-group comparison across 18 samples.

How we read this: 3 replicated groups read from 18 sample titles; they account for 18 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.