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Epigenetic programming during monocyte to macrophage differentiation and trained innate immunity

GSE58310 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 64 samples Submitted 2014/09/26 Platform GPL18573Platform GPL11154
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 64 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
Homo sapiens (human)
Samples
64 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)
Monocyte differentiation into macrophages represents one of the cornerstone processes in innate host defense. In addition, immunological imprinting of either tolerance or trained immunity after an initial infection determines the functional fate of innate immune cells and the susceptibility of the host to secondary infections. Here we comprehensively characterize the epigenetic profiles of these functional states relative to healthy adult naïve monocytes.
Read the full summary ↓
Inflammatory and metabolic pathways are strongly modulated in the derived macrophages, including decreased activation of inflammasome components. The cAMP-dependent signaling pathway is remodeled and adrenergic signaling was functionally implicated in trained innate immunity induction in vivo. Interestingly, -Glucan trains innate immune cells through extensive remodeling of distal regulatory region-bound histone acetylation, resulting in a sizeable exclusive epigenomic signature. Accordingly, genome-wide transcription factor footprint analysis reveals a specific transcription factor repertoire at trained cell-specific enhancers when recouped with epigenetic data, forming a rich hypothesis generator to manipulate innate immunity.
This dataset
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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.

Series matrix ↓
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 GSE58310_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA251977 and SRA study SRP043033. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25258085) ↗
Samples in this study

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