GEO series

Effect of endurance training on expression signatures of mouse type I and type IIb myofibers

GSE244547 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2024/12/31 Platform GPL24247

At a glance

Single-cell RNA-seq · mouse · 12 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Mus musculus (mouse)
Samples: 12 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.

Summary (written by the submitters)

Skeletal muscle myofibers, categorized into slow-twitch (type I) and fast-twitch (type II) fibers based on myosin heavy chain (MHC) isoforms, exhibit varying fatigue resistance and metabolic reliance. Type I myofibers are fatigue-resistant with high mitochondrial density and oxidative metabolism, while Type II myofibers fatigue quickly due to glycolytic metabolism and fewer mitochondria.

Read the full summary ↓

Endurance training induces remodeling of myofiber and mitochondrial, increasing slow-twitch myofibers and enhancing mitochondrial oxidative capacity, improving muscle fitness. In our study, conducted using single-cell techniques, we delved deeply into the transcriptomic differences between type I and type IIb myofibers. In response to endurance training, type I myofibers exhibited heightened signals in essential adaptive responses, such as fatty acid oxidation, mitochondrial biogenesis, and protein synthesis, compared to type IIb myofibers. By analyzing untrained myofibers, we identified specific signaling pathways that explain the differences in their responses to endurance training. These findings provide nuanced insights into the molecular mechanisms governing endurance adaptations in fast and slow-twitch muscles, offering valuable guidance for tailored exercise routines and potential therapeutic interventions.

This dataset

Open GSE244547 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 GSE244547_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 PRJNA1023534 and SRA study SRP464322. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 12 more — browse all 12 samples with per-sample file links →

Datasets on a similar topic

GSE239946 Signatures of IL1b, IL6 and TNFa in immune cell-types 209 samples shares signatures, type
GSE243373 Genome-wide 5mC and 5hmC patterns determine unique transcriptional signatures,regulators and exon inclusion of neural cell types in mouse brain [RNA-Seq] 15 samples shares signatures, type
GSE272929 Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [RNA-Seq liver] 75 samples shares signatures, type
GSE306097 Distinct immunometabolic signatures of type 1 versus type 2 diabetes in a murine model of myocardial infarction 55 samples shares signatures, type
GSE315159 Nucleus accumbens neuron subtype translatome signatures in socially stressed females 30 samples shares signatures, type
GSE302911 Endurance training promotes chromatin closure and timely repression of the post-exercise immediate early stress response [RNA-Seq] 21 samples shares endurance, training
GSE302867 Cardiac adaptation to endurance exercise training requires suppression of GDF15 via PGC-1α 20 samples shares endurance, training
GSE272930 Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [RNA-Seq blood] 15 samples shares signatures, type

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.