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Murine gamma delta intraepithelial lymphocyte response to type I IFN and TCR blockade

GSE262121 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2024/10/01 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 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
Type I IFN Induces TCR-dependent and -independent Antimicrobial Responses in γδ Intraepithelial LymphocytesJournal of immunology (Baltimore, Md. : 1950) · 2024
Summary (written by the submitters)
Interferon alpha (IFNa) is a pro-inflammatory cytokine that is rapidly upregulated as part of an innate immune response. Gamma delta intraepithelial lymphocytes (gd IEL) mount a rapid antimicrobial response to luminal microorganisms and previous report indicate that the T cell receptor (TCR) of these cells is constantly triggered at steady-state.
Read the full summary ↓
We assessed the contribution of tonic TCR activation in response to acute, systemic IFNa administration among murine gd IELs. Our data demonstrate that inhibiting basal TCR signaling has a minimal effect on the transcriptional profile of gd IELs and acute IFNa exposure induces antiviral gene programs independent of TCR signaling.
Published in
Type I IFN Induces TCR-dependent and -independent Antimicrobial Responses in γδ Intraepithelial Lymphocytes
Fischer MA, Jia L, Edelblum KL · Journal of immunology (Baltimore, Md. : 1950) 2024 · PMID 39311642 · doi:10.4049/jimmunol.2400138
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 GSE262121_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 PRJNA1090425 and SRA study SRP496970. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 13 more — browse all 13 samples with per-sample file links →

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