A Mechanistic basis of fast myofiber vulnerability in neuromuscular diseases [Multiome]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 12 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
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
- A mechanistic basis of fast myofiber vulnerability to neuromuscular diseasesCell reports · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE298184_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1268479 and SRA study SRP587894. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.
- GSM9009628 Multiome_WT1_SnRNAseq
- GSM9009629 Multiome_WT1_SnATACseq
- GSM9009630 Multiome_WT2_SnRNAseq
- GSM9009631 Multiome_WT2_SnATACseq
- GSM9009632 Multiome_Den_GFP1_SnRNAseq
- GSM9009633 Multiome_Den_GFP1_SnATACseq
- GSM9009634 Multiome_Den_GFP2_SnRNAseq
- GSM9009635 Multiome_Den_GFP2_SnATACseq
- GSM9009636 Multiome_Den_Maf1_SnRNAseq
- GSM9009637 Multiome_Den_Maf1_SnATACseq
- GSM9009638 Multiome_Den_Maf2_SnRNAseq
- GSM9009639 Multiome_Den_Maf2_SnATACseq
- GSE298187 A Mechanistic basis of fast myofiber vulnerability in neuromuscular diseases [snRNA-seq] 2 samples shares vulnerability, neuromuscular, mechanistic, myofiber, basis, fast
- GSE269304 Mechanistic basis of gene regulation by SRCAP and H2A.Z (ChIP-Seq) 102 samples shares mechanistic, basis
- GSE269302 Mechanistic basis of gene regulation by SRCAP and H2A.Z (ATAC-Seq) 34 samples shares mechanistic, basis
- GSE269309 Mechanistic basis of gene regulation by SRCAP and H2A.Z (RNA-Seq) 30 samples shares mechanistic, basis
- GSE294945 Mechanistic basis for protection against fatty liver disease by CIDEB loss-of-function mutations 20 samples shares mechanistic, basis
- GSE269307 Mechanistic basis of gene regulation by SRCAP and H2A.Z (Mnase-Seq) 12 samples shares mechanistic, basis
- GSE287553 Mechanistic basis of gene regulation by SRCAP and H2A.Z (CUT&RUN) 2 samples shares mechanistic, basis
- GSE115706 RNAseq of motor neurons and neurons with differential vulnerability isolated from a mouse model of spinal muscular atrophy using laser capture microdissection 168 samples shares vulnerability
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.