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Gene expression profile at single cell level of C2C12 myoblasts bearing human LMNA gene with mutations WT, R482L

GSE260946 Mus musculus (mouse) Single-cell RNA-seq 3 samples Submitted 2025/02/02 Platform GPL30172
At a glance

Single-cell RNA-seq · mouse · 3 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
3 samples
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
LMNA R482L mutation causes impairments in C2C12 myoblasts subpopulations, alterations in metabolic reprogramming during differentiation, and oxidative stressScientific reports · 2025
Summary (written by the submitters)
LMNA mutation R482L cause classical familial partial lipodystrophy of Dunnigan type (FPLD2). FPLD is a severe metabolic disorder that often leads to cardiovascular and skeletal muscle complications. How LMNA mutations affect functional properties of skeletal muscles is still not understood. In the present project we investigated the LMNA-R482L mutation-specific alterations in mouse C2C12 line of myoblasts using single cell RNA sequencing (scRNA-seq).
Read the full summary ↓
We showed the heterogeneity of C2C12 myoblasts cell line prior the differentiation, and compositional and transcriptional changes in LMNA-R482L C2C12 myoblasts comparing to LMNA-WT.
Published in
LMNA R482L mutation causes impairments in C2C12 myoblasts subpopulations, alterations in metabolic reprogramming during differentiation, and oxidative stress
Ivanova OA, Predeus AV, Sorokina MY et al. · Scientific reports 2025 · PMID 39948343 · doi:10.1038/s41598-025-88219-6
This dataset
Open GSE260946 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 GSE260946_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1084274 and SRA study SRP493572. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39948343) ↗
Samples in this study

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+ 3 more — browse all 3 samples with per-sample file links →

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