Context-dependent regulation of T follicular helper cell formation, expansion and differentiation into T-regulatory type 1 cells by multiple transcription factors
RNA-seq (gene expression) · mouse · 15 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
- 15 samples: 14 distinct titles, 1 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.
- Paper
- Contextual regulation of T follicular helper cell expansion and differentiation into T regulatory type 1 cells by multiple transcription factorsCell reports · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE291030_RAW.tar (it can run to tens of gigabytes).
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: 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 PRJNA1231420 and SRA study SRP567807. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 15 sample titles: 14 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.
- GSM8827810 scRNA-seq library of Tet+ T cells deficient for Atf6
- GSM8827811 scRNA-seq library of Tet+ T cells deficient for Batf
- GSM8827812 scRNA-seq library of Tet+ T cells deficient for Bcl6
- GSM8827813 scRNA-seq library of Tet+ T cells deficient for Bhlhe40
- GSM8827814 scRNA-seq library of Tet+ T cells from Control3_cd4cre mice
- GSM8827815 scRNA-seq library of Tet+ T cells from Control2_cd4cre mice
- GSM8827816 scRNA-seq library of Tet+ T cells from Control_Blimp1 mice
- GSM8827817 scRNA-seq library of Tet+ T cells from Control_cd4cre mice
- GSM8827818 scRNA-seq library of Tet+ T cells deficient for Elk4
- GSM8827819 scRNA-seq library of Tet+ T cells deficient for Irf4
- GSM8827820 scRNA-seq library of Tet+ T cells deficient for Maf
- GSM8827821 scRNA-seq library of Tet+ T cells deficient for Prdm1
- GSM8827822 scRNA-seq library of Tet+ T cells deficient for Stat3
- GSM8827823 scRNA-seq library of Tet+ T cells deficient for Stat4
- GSM8827824 scRNA-seq library of Tet+ T cells deficient for Tbx21
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- GSE270036 Investigate the functions of core pluripotency transcription factors in embryonic stem cells 30 samples shares transcription, factors
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- GSE282280 DNA methylation-sensitive transcription factors and bivalency orchestrate transposon expression in the absence of DNA methylation. 93 samples shares transcription, factors
- GSE283958 Cohesin recruitment to promoters and enhancers by general transcription factors and chromatin regulators 47 samples shares transcription, factors
- GSE243165 Signal-responsive transcription factors cooperate to establish alveolar macrophage identity 42 samples shares transcription, factors
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.