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Total RNA-seq of C2C12 myotubes treated with agrin or MuSK antibodies

GSE316686 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/01/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 20 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
Mus musculus (mouse)
Samples
20 samples: 5 conditions, mostly with about 4 replicates eachGroups 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
MuSK antibodies differently affect the MuSK signaling cascade depending on valency and epitope specificityJournal of autoimmunity · 2026
Summary (written by the submitters)
Total RNA-seq was performed to investigate if MuSK antibody binding directly affects (NMJ) gene expression in muscle cells. C2C12 differentiated myotubes were treated for 16 hours with bivalent MuSK antibodies (activating MuSK signaling) or functionally monovalent MuSK antibodies (inhibiting agrin-induced MuSK signaling) derived from B-cell receptor sequences from a MuSK myasthenia gravis patient. The total RNA transcriptome was compared to treatment with agrin (the natural activator of MuSK) or a negative control antibody targeting a protein not present in myotubes.
Published in
MuSK antibodies differently affect the MuSK signaling cascade depending on valency and epitope specificity
Vergoossen DLE, Verpalen R, Jensen SM et al. · Journal of autoimmunity 2026 · PMID 42391746 · doi:10.1016/j.jaut.2026.103593
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 GSE316686_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: 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 PRJNA1403584 and SRA study SRP662874. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly with about 4 replicates each
b12 ×4 13-3B5 ×4 Agrin b12 ×4 Agrin 13-3B5xb12 ×4 Agrin 11-3F6xb12 ×4

Supports a between-group comparison across 20 samples.

How we read this: 5 replicated groups read from 20 sample titles; they account for 20 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
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