GEO series

ATAC-Seq of CD8+ T cell subsets during LCMV infection

GSE107373 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 6 samples Submitted 2017/12/15 Platform GPL17021

At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 6 samples

What it is: ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism: Mus musculus (mouse)
Samples: 6 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 CD8+ T cells (Trm) are positioned at common sites of pathogen exposure where they elicit rapid and robust protective immune responses. However, the molecular signals controlling Trm differentiation and homeostasis are not fully understood. Here we show that mouse Trm precursor cells represent a unique CD8+ T cell subset that is distinct from the precursors of circulating memory populations at the levels of gene expression and chromatin accessibility.

Read the full summary ↓

Exploiting computational and functional RNAi in vivo screens, we identified the transcription factor (TF) Runx3 as a key regulator of Trm differentiation and homeostasis. Runx3 was required to establish Trm populations in diverse tissue environments and supported expression of critical tissue-residency genes while suppressing genes associated with tissue egress and recirculation. Analysis of the accessibility of Runx3 target genes in Trm-precursor cells revealed a distinct regulatory role for Runx3 in controlling Trm differentiation despite relatively widespread and uniform expression among all CD8+ T cell subsets. Further, we show that human and murine tumor-infiltrating lymphocytes (TIL) share a core tissue-residency gene-expression signature with Trm. In a mouse model of adoptive T cell therapy for melanoma, Runx3-deficient CD8+ TIL failed to accumulate in tumors, resulting in greater rates of tumor growth and mortality. Conversely, overexpression of Runx3 enhanced TIL abundance, delayed tumor growth, and prolonged survival. In addition to establishing Runx3 as a central regulator of Trm differentiation, these results provide novel insight into the signals that promote T cell residency in tissues, which could be leveraged to enhance vaccine efficacy or adoptive cell therapy treatments that target cancer.

This dataset

Open GSE107373 in finder → Find more mouse ChIP / ATAC / CUT&Tag datasets →

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.

Series matrix ↓

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 GSE107373_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA419917 and SRA study SRP125682. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 29211713) ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

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Search all mouse ChIP / ATAC / CUT&Tag datasets in GEO →

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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.