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IRF8 defines the epigenetic landscape in postnatal microglia, thereby directing their transcriptome programs - additional datasets

GSE266424 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 39 samples Submitted 2024/07/01 Platform GPL21626Platform GPL19057Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 39 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
39 samples: 11 conditions, mostly in duplicateGroups 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
IRF8 defines the epigenetic landscape in postnatal microglia, thereby directing their transcriptome programsNature immunology · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
IRF8 defines the epigenetic landscape in postnatal microglia, thereby directing their transcriptome programs
Saeki K, Pan R, Lee E et al. · Nature immunology 2024 · PMID 39313544 · doi:10.1038/s41590-024-01962-2
This dataset
Open GSE266424 in finder → Find more mouse ChIP / ATAC / CUT&Tag datasets →
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 GSE266424_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 PRJNA1107149 and SRA study SRP505336. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39313544) ↗
Study design
11 conditions, mostly in duplicate
IRF8KO P9 microglia - ATAC ×3 WT_P9 ×3 IRF8KO_P9 ×3 WT_P14 ×3 IRF8KO_P14 ×3 5xFAD MetX04 negative microglia - ATAC ×2 WT microglia, control for X4MG - ATAC ×2 MetX04 positive microglia (X4MG) - ATAC ×2 +15 more

Supports a between-group comparison across 27 samples.

How we read this: 11 replicated groups read from 39 sample titles; they account for 27 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
Datasets on a similar topic

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