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Regulation of transcriptional signal integration and memory by inflammation-induced chromosome conformation [ATAC-Seq]

GSE247938 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2024/12/31 Platform GPL17021
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
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)
3-dimensional (3D) genome conformation is central to gene expression regulation, yet our understanding of how rapid transcriptional responses, transcriptional memory, and integration of different environmental signals are orchestrated in the 3D genome is limited. Here, we study various aspects of the inflammatory response in macrophages using transcriptomic, epigenomic, and genome conformation mapping technologies, including high-resolution Micro-Capture C.
Read the full summary ↓
We report that interleukine-4 (IL-4) stably rewires the 3D genome conformation of macrophages and juxtaposes endotoxin-, interferon-gamma-, and dexamethasone-activated enhancers to cognate gene promoters to support enhanced gene expression. IL-4-driven conformational change is indispensable for the integration of IL-4- and endotoxin-induced enhanced and synergistic transcriptional responses, provides short-term transcriptional memory, and can occur in the absence of IL-4-induced epigenetic and transcriptional changes. Our work reveals that IL-4-driven 3D genome conformation is required to shape macrophage plasticity to subsequent immunological responses, integrate distinct inflammatory signals, and provides memory.
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 GSE247938_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 PRJNA1040940 and SRA study SRP472266. Searching any of these in the dataset finder brings you back here.

Samples in this study

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