Dietary fiber promotes antigen presentation on intestinal epithelial cells and development of small intestinal CD4+CD8αα+ intraepithelial T cells
RNA-seq (gene expression) · mouse · 11 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
- 11 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
- Dietary fiber promotes antigen presentation on intestinal epithelial cells and development of small intestinal CD4(+)CD8αα(+) intraepithelial T cellsMucosal 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 GSE277294_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 PRJNA1161679 and SRA study SRP532964. 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.
+ 11 more — browse all 11 samples with per-sample file links →
- GSE252337 Dysfunction of infiltrating cytotoxic CD8+ T cells within the graft promotes murine kidney allotransplant tolerance 16 samples shares cd8, promotes
- GSE309993 Effector differentiation by stem-like intraepithelial γδ T cells is required for host defense against infection 25 samples shares intraepithelial, epithelial
- GSE296763 Mitochondrial respiration is necessary for CD8 T cell proliferation and cell fate 99 samples shares cd8
- GSE278003 Single cell RNA sequencing of CD45+ immune cells from tumor and tumor-adjacent mammary adipose tissue in a postmenopausal breast cancer model of lean, obese, and weight loss Trem2+/+ and Trem2-/- mice 92 samples shares cd4
- GSE334845 Discovery of Tcf7 regulators with clonally-resolved CRISPR screens identifies Trim28 as a mediator of CD8 T cell differentiation in tumors [RNA-Seq] 86 samples shares cd8
- GSE201228 CD4+ T cell activation in absence of WNK1 72 samples shares cd4
- GSE302682 Sleeping Beauty mutagenesis identifies BACH2 and other regulators promoting CD8+ T cell persistence and effector function under tumor-associated chronic antigen stimulation - RNAseq 66 samples shares cd8
- GSE222996 The immune landscape of the “deregulated host response” in sepsis: newly emerging MDSCs with high expression of CD47 leads to B cell suppression via App-CD74 signaling [RNA-seq] 61 samples shares cd4
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.