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OBSCN undergoes extensive alternative splicing throughout human cardiac and skeletal muscle development

GSE270408 Homo sapiens (human) RNA-seq (gene expression) 71 samples Submitted 2025/02/24 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 71 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
71 samples: 45 × Skeletal muscle, postnatal, vs 7 × Cardiac muscle, postnatal,Groups 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
OBSCN undergoes extensive alternative splicing during human cardiac and skeletal muscle developmentSkeletal muscle · 2025
Summary (written by the submitters)
Highly expressed in skeletal muscles, the gene Obscurin (i.e. OBSCN) has 121 non-overlapping exons and codes for some of the largest known mRNAs in human genome. Furthermore, it is known to play an essential role in muscle development and function. Mutations within OBSCN are known to cause several hypertrophic cardiomyopathies and muscular disorders.
Read the full summary ↓
Even though OBSCN undergoes extensive alternative splicing, its splicing regulation associated with skeletal and cardiac muscle development has not previously been thoroughly studied. We study splicing of OBSCN in skeletal and cardiac muscles extracted from 41 postnatal individuals and 6 fetuses. We detect several splicing regulations located in 5’end, 3’ end, as well as in the middle of OBSCN. Many of these alternative splicing events have not previously been reported. These findings are essential for an accurate pre- and postnatal diagnosis and prognosis of OBSCN exonic variants. The muscle development OBSCN exon inclusion map is available at https://gacatag.shinyapps.io/OBSCN_PSIVIS/ .
Published in
OBSCN undergoes extensive alternative splicing during human cardiac and skeletal muscle development
Oghabian A, Jonson PH, Gayathri SN et al. · Skeletal muscle 2025 · PMID 40025502 · doi:10.1186/s13395-025-00374-6
This dataset
Open GSE270408 in finder → Find more human 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 GSE270408_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1126317. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40025502) ↗
Study design
45 × Skeletal muscle, postnatal, vs 7 × Cardiac muscle, postnatal,

Supports a between-group comparison across 52 samples.

How we read this: 2 replicated groups read from 71 sample titles; they account for 52 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

+ 31 more — browse all 71 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.