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SATB1 prevents immune cell infiltration by regulating chromatin organization and gene expression of a chemokine gene cluster in T cells

GSE224977 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2024/09/25 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 10 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
10 samples: 3 × CON vs 3 × CKO vs 2 × CON H3K27ac CUT&Tag vs 2 × CKO H3K27ac CUT&TagGroups 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
SATB1 prevents immune cell infiltration by regulating chromatin organization and gene expression of a chemokine gene cluster in T cellsCommunications biology · 2024
Summary (written by the submitters)
The precise regulation of T lymphocyte development and functions is crucial for preventing the initiation and progression of autoimmunity. SATB1, a key regulator of T cell development, governs lineage-specific transcriptional programs. However, its role in autoimmunity remains unclear. Here we show that conditional knockout of Satb1 in CD4+ T cells in mice led to T cell hyperactivation and inflammatory cell infiltration in the lungs and stomach.
Read the full summary ↓
By performing transcriptome profiling, we show that the loss of SATB1 led to the aberrant upregulation of chemokines, particularly the ones belonging to the CC subfamily. Treating Satb1 conditional knockout mice with the inhibitor of the CC chemokine receptor alleviated inflammatory cell infiltration and autoimmune phenotypes. Intriguingly, SATB1's transcriptional regulation of chemokine genes could not be attributed to its direct binding to chemokine promoters or modulation of H3K27Ac. Instead, SATB1 exerted its regulatory effects through the control of higher-order chromatin organization at the CC chemokine locus. The loss of SATB1 led to the emergence of a new chromatin domain encompassing the Ccl3, Ccl4, Ccl5, Ccl6, and Ccl9 genes and a distal enhancer, resulting in increased contacts between the enhancer and all five chemokine genes, thus inducing their upregulation. Collectively, these results demonstrate that SATB1 safeguards organisms against autoimmunity by ensuring proper chemokine expression and preventing inflammatory cell infiltration, providing valuable insights into the understanding of autoimmune diseases.
Published in
SATB1 prevents immune cell infiltration by regulating chromatin organization and gene expression of a chemokine gene cluster in T cells
Wang B, Bian Q · Communications biology 2024 · PMID 39394451 · doi:10.1038/s42003-024-07021-8
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 GSE224977_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 PRJNA933204 and SRA study SRP422606. Searching any of these in the dataset finder brings you back here.

Study design
3 × CON vs 3 × CKO vs 2 × CON H3K27ac CUT&Tag vs 2 × CKO H3K27ac CUT&Tag

Supports a between-group comparison across 10 samples.

How we read this: 4 replicated groups read from 10 sample titles; they account for 10 of them. 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
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