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Antitumor progenitor exhausted CD8 T cells are sustained with TCR engagement [ATACseq]

GSE262842 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2024/04/05 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 24 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
24 samples: 24 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
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
Antitumor progenitor exhausted CD8(+) T cells are sustained by TCR engagementNature immunology · 2024
Summary (written by the submitters)
Durability of an antitumor immune response is mediated in part by the persistence of progenitor exhausted CD8 T cells (Tpex). Tpex serve as a source for the pool of effector T cells, and in the absence of their cognate antigen, they are able to preserve their quantity through a process of self-renewal. However, it remains unknown how TCR engagement impacts the self-renewal capacity of Tpex in settings of continued antigen exposure.
Read the full summary ↓
Here, we used a Lewis lung carcinoma model that elicits an optimal or attenuated TCR signal in CD8 T cells to investigate its effect on Tpex persistence during tumor development. Longitudinal phenotyping and single-cell transcriptomics of tumor-specific T cells revealed that formation of the Tpex reservoir in tumor-draining lymph nodes, and its subsequent replenishment of intratumoral Tpex, is dependent on optimal TCR engagement. Notably, adoptive transfer of optimally primed Tpex into a tumor setting with attenuated TCR stimulation significantly accelerates their terminal differentiation, contrasting to the sustained self-renewal occuring with optimal TCR stimulation. This TCR-reinforced Tpex development and self-renewal is coupled to proximal positioning to dendritic cell niches and epigenetic imprinting that involves increased chromatin accessibility at Egr2 and Tcf1 target loci. Collectively, our study highlights the critical role of TCR engagement in sustaining Tpex during tumor progression
Published in
Antitumor progenitor exhausted CD8(+) T cells are sustained by TCR engagement
Lan X, Mi T, Alli S et al. · Nature immunology 2024 · PMID 38816618 · doi:10.1038/s41590-024-01843-8
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 GSE262842_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1093468 and SRA study SRP498766. Searching any of these in the dataset finder brings you back here.

Study design
24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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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.