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Decoding Gene Networks Governing Hypothalamic and Prethalamic Neuron Development

GSE284492 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 50 samples Submitted 2025/05/26 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 50 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
50 samples: 22 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
Decoding gene networks controlling hypothalamic and prethalamic neuron developmentCell reports · 2025
Summary (written by the submitters)
Purpose: sc/snRNA-Seq and scATAC-Seq were performed to characterize the developing hypothalamus
Published in
Decoding gene networks controlling hypothalamic and prethalamic neuron development
Kim DW, Duncan LH, Xu Z et al. · Cell reports 2025 · PMID 40512619 · doi:10.1016/j.celrep.2025.115858
This dataset
Open GSE284492 in finder → Find more mouse RNA-seq 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 GSE284492_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 PRJNA1199406 and SRA study SRP552081. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40512619) ↗
Study design
22 conditions, mostly in duplicate
P4 Wild Type scRNA-Seq ×3 E12.5 Foxd1-Cre/+ ; Isl1-flox/flox scRNA-Seq ×3 P8 Foxd1-Cre/+ ; Dlx1/2-flox/flox scRNA-Seq ×3 P21 Foxd1-Cre/+ ; Dlx1/2-flox/flox snRNA-Seq ×3 E12.5 Wild Type scRNA-Seq ×2 E13.5 Wild Type scRNA-Seq ×2 E14.5 Wild Type scRNA-Seq ×2 E15.5 Wild Type scRNA-Seq ×2 +16 more

Supports a between-group comparison across 48 samples.

How we read this: 22 replicated groups read from 50 sample titles; they account for 48 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

+ 10 more — browse all 50 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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