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Hobit and Blimp1 instruct a universal transcriptional program of tissue-residency in lymphocytes

GSE70813 Mus musculus (mouse) RNA-seq (gene expression) 38 samples Submitted 2016/04/25 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 38 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
38 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) are non-circulating memory T cells that localize to portals of pathogen entry such as the skin, gut and lung where they provide efficient early protection against reinfection. Trm are characterized by a molecular profile that actively prevents egress from peripheral sites including the constitutive expression of the lectin CD69 and down-regulation of the chemokine receptor (CCR)7 and sphingosine-1-phosphate receptor 1 (S1PR1).
Read the full summary ↓
This program is partially mediated by down-regulation of the transcription factor KLF2; however, to date no transcriptional regulator specific to Trm has been identified. Here we show that the Blimp1 related transcription factor Hobit is specifically upregulated in Trm and together with Blimp1, mediates the development and maintenance of Trm in various tissues including skin, gut, liver and kidney. Importantly, we found that the Hobit/Blimp1 transcriptional module is also required for other tissue-resident lymphocytes including Natural Killer T (NKT) cells and liver tissue-resident NK cells (trNK). We show that these populations share a universal transcriptional program with Trm instructed by Hobit and Blimp1 that includes the repression of CCR7, S1PR1 and KLF2 thereby enforcing tissue retention. Our results identify Hobit and Blimp1 as major common regulators that drive the differentiation of distinct populations of tissue-resident lymphocytes.
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 GSE70813_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 PRJNA289626 and SRA study SRP060705. Searching any of these in the dataset finder brings you back here.

Samples in this study

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