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Signal-responsive transcription factors cooperate to establish alveolar macrophage identity

GSE243165 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 42 samples Submitted 2026/05/13 Platform GPL34290Platform GPL21493Platform GPL30172
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 42 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
42 samples: 8 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.
Summary (written by the submitters)
This study includes RNA-Seq, ATAC-Seq, and HT-ChIP-mentation-Seq assay data performed on alveolar macrophages from wild-type and RXRαβ-deficient mice. Through this multifaceted analysis, we aimed to elucidate the transcriptional and epigenetic landscape orchestrated by RXRs in alveolar macrophages. This SuperSeries is composed of the SubSeries listed below.
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 GSE243165_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 PRJNA1016453 and SRA study SRP460294. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in duplicate
mAM_KO ×4 mAM_WT ×4 Imm_KO ×3 AMs, KO1 ×2 AMs, KO ×2 AMs, WT1 ×2 AMs, WT ×2 Input_k2_AMS ×2 +21 more

Supports a between-group comparison across 21 samples.

How we read this: 8 replicated groups read from 42 sample titles; they account for 21 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

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.