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Matrix Stiffness Induces Midnolin-dependent Lamin B1 Degradation to Control Myoblast Differentiation

GSE323368 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/03/28 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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
Matrix stiffness induces midnolin-dependent lamin B1 degradation to control myoblast differentiationEMBO reports · 2026
Summary (written by the submitters)
Cells decode mechanical cues to direct fate decisions through nuclear remodeling, yet nuclear adaptors to mechanical signals remain elusive. Here, we show that soft matrix suppresses myoblast differentiation and induces nuclear abnormality within 30 minutes, accompanied by a greater than 60% reduction in lamin B1 proteins levels. Mechanistically, midnolin interacts with lamin B1 and mediates ubiquitination-independent degradation of lamin B1 on soft matrix, through the Catch domain of midnolin engaging a b-strand within lamin B1’s Ig-like domain.
Read the full summary ↓
Functionally, moderate lamin B1 expression is essential for myoblast differentiation initiation, as its depletion either by siRNA or CRISPR knockout abolishes myogenic capacity. Our findings reveal that the midnolin-proteasome axis directly converts mechanical inputs into lineage commitment by triggering lamin B1 degradation, defining a novel nuclear mechano-adaptation pathway.
Published in
Matrix stiffness induces midnolin-dependent lamin B1 degradation to control myoblast differentiation
Guo L, Zhao Y, Zhang Z et al. · EMBO reports 2026 · PMID 41917260 · doi:10.1038/s44319-026-00753-0
This dataset
Open GSE323368 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 GSE323368_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 PRJNA1432657 and SRA study SRP681176. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41917260) ↗
Study design
6 conditions, mostly in triplicate
C2C12 cells, myogenic differentiation, 0 hour… ×3 C2C12 cells, myogenic differentiation, 6 hour… ×3 C2C12 cells, myogenic differentiation, 24 hou… ×3 C2C12 cells, myogenic differentiation, 7 days, ×3 C2C12 cells, 0.2 kPa, 12h, ×3 C2C12 cells, 10 kPa, 12h, ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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
Datasets on a similar topic

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