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CD8αα+ intraepithelial lymphocytes recruited from peripheral CD4+ and CD8+ T cells represent functionally distinct lineages

GSE283956 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/12/08 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
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.
Summary (written by the submitters)
The TCRαβ CD8αα+ intraepithelial lymphocytes (IELs) play a significant role in primary immune defence in the small intestine. The canonical model of their development distinguishes TCRαβ IELs into induced and natural (TCRαβ CD8αα+) types, each influenced by distinct developmental pathways and antigen encounters. It is believed that natural CD8αα+ IELs differentiate solely from triple positive (TP) CD4+CD8αβ+CD8αα+ thymic progenitors that recognized self MHC-peptide complexes with high affinity but avoided deletion during selection.
Read the full summary ↓
Our investigation reveals that, in addition to this central commitment, the CD8αα+ IELs undergo in situ enrichment through recruitment from peripheral CD4+ and CD8αβ+ T cell populations. We found that the functional makeup of individual clones within the CD8αα+ IEL subset is dictated by their origin. We demonstrate that expression of Bmp7 or Ly49 (Ly49C, F, H, and I) serve as markers indicating the CD8αα+ IELs’ peripheral provenance: CD8αβ+ and CD4+ T lymphocytes, respectively.
This dataset
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.

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 GSE283956_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1196385 and SRA study SRP550543. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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