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Distinct Vps34-orchestrated signaling processes dictate the transitional heterogeneity and functional adaptation of effector Treg cells.

GSE279606 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 55 samples Submitted 2025/02/24 Platform GPL21103Platform GPL23038
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 55 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
55 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Paper
Vps34-orchestrated lipid signaling processes regulate the transitional heterogeneity and functional adaptation of effector regulatory T cellsPLoS biology · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Vps34-orchestrated lipid signaling processes regulate the transitional heterogeneity and functional adaptation of effector regulatory T cells
Norton EG, Chapman NM, Shi H et al. · PLoS biology 2025 · PMID 40215232 · doi:10.1371/journal.pbio.3003074
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 GSE279606_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 PRJNA1173589 and SRA study SRP548631. Searching any of these in the dataset finder brings you back here.

Samples in this study

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