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Human tissue-resident memory T cells are defined by core transcriptional and functional signatures in lymphoid and mucosal sites

GSE94964 Homo sapiens (human) RNA-seq (gene expression) 30 samples Submitted 2017/09/19 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 30 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
Homo sapiens (human)
Samples
30 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)
Tissue resident memory T cells (TRM) mediate optimal protection to site-specific pathogens in mouse models and are key targets for vaccines. In humans, the existence and defining properties of Positive remain unclear. Here, we performed in-depth transcriptome profiling and phenotypic and functional analyses of circulating and resident memory CD4+ and CD8+T cells from lungs, spleens, blood and intestines of 72 individuals, revealing a core gene set conserved between tissues, species, and T cell lineages.
Read the full summary ↓
Human Positive exhibit increased expression of specific adhesion and regulatory molecules, increased capacity for pro-inflammatory and regulatory cytokine production, and downregulation of molecules controlling responses to chemokines, tissue egress, and cell cycle control compared with circulating Negative cells. We further identify subsets of genes exhibiting tissue-specific expression patterns for mucosal and lymphoid sites. Our results indicate that human Positive constitute a subset distinct from circulatory Negative, with important implications for promoting anatomic localization of memory responses.
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 GSE94964_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 PRJNA374963 and SRA study SRP100018. Searching any of these in the dataset finder brings you back here.

Samples in this study

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