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Ca2+ influx through ORAI1 and ORAI2 channels regulates chromatin accessibility in CD4+ T cells

GSE253187 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 13 samples Submitted 2025/01/01 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 13 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
13 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)
Activation of CD4+ T cells by T cell receptor (TCR) signaling results in altered gene expression as a result of epigenetic and transcriptional regulation. A critical TCR signaling pathway in CD4+ T cells is driven by Ca2+ influx across the plasma membrane through Ca2+ release-activated Ca2+ (CRAC) channels that are formed by ORAI1 and ORAI2 proteins.
Read the full summary ↓
Here we analyzed the effects of suppressing Ca2+ influx in mouse CD4+ T cells on chromatin accessibility by genetically deleting the ORAI1 channel alone or both ORAI1 and ORAI2 channels. CD4+ T cells specific for ovalbumin (OVA) from TCR transgenic OT-II were activated by in vivo exposure to influenza A virus (IAV) expressing OVA neoantigen. Changes in chromatin accessibility of CD4+ T cells in response to IAV-OVA infection were determined by ATAC sequencing
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 GSE253187_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 PRJNA1064170 and SRA study SRP483428. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 13 more — browse all 13 samples with per-sample file links →

Datasets on a similar topic

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