TGF-β specifies TFH versus TH17 cell fates in murine CD4+ T cells through c-Maf (Seq02, bulk-RNAseq)
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
- 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
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 GSE198374_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 PRJNA814714 and SRA study SRP363486. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 15 more — browse all 15 samples with per-sample file links →
- GSE197425 TGF-β specifies TFH versus TH17 cell fates in murine CD4+ T cells through c-Maf (Seq03, bulk-RNAseq) 34 samples shares th17, tgf, tfh, cd4, bulk-rnaseq, specifies, versus
- GSE243257 TGF-β specifies TFH versus TH17 cell fates in murine CD4+ T cells through c-Maf (Seq05, bulk-RNAseq) 18 samples shares th17, tgf, tfh, cd4, bulk-rnaseq, specifies, versus
- GSE75111 Single-cell transcriptional profiling of Th17 cells, differentiated in vitro for 48h [TGFB1_IL6-48h-IL-17A/GFP+] 151 samples shares th17, tgf
- GSE250576 ATAC-seq of Satb1 conditional KO in CD4+ naïve T cells reveals epigenetic role of Satb1 in developing Th17 T cells by controlling the accessibility of Il2, thereby inhibiting IL-2 signaling in the initial stages of T cell differentiation. 10 samples shares th17, cd4
- GSE75109 Single-cell transcriptional profiling of Th17 cells, differentiated in vitro for 48h [IL1B_IL6_IL23-48h-IL-17A/GFP+] 139 samples shares th17
- GSE290297 Population RNA-seq from Th17 cells differentiated in vitro under pathogenic (Th17p) and non-pathogenic (Th17n) conditions with DHEA or EGCG 79 samples shares th17
- GSE268757 Reproducible lung protective effects of a TGFβR1/ALK5 inhibitor in the bleomycin-induced and spirometry-confirmed mouse model of IPF 75 samples shares tgf
- GSE303699 Autoimmune Disease Risk Gene ANKRD55 Promotes Th17 Effector Function Through Metabolic Modulation [RNA-Seq] 60 samples shares th17
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.