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Effect of dexamethasone treatment on the transcriptome of injured mouse hamstring muscle

GSE218699 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2024/07/31 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples: 9 × 290_D vs 4 × 290_CGroups 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
A glucocorticoid spike derails muscle repair to heterotopic ossification after spinal cord injuryCell reports. Medicine · 2024
Summary (written by the submitters)
Healthy muscle heals and repairs after injury. However, when mice are treated with dexamethasone, an agonist of glucocorticoid receptors, heterotopic ossifications (HO) develop in the injured muscle within fibrotic areas that fail to fully regenerate functional muscle. To understand the mechanisms driving heterotopic ossification in response to glucocorticoid receptor agonists, we performed RNA seqencing analysis on injured muscle.
Read the full summary ↓
Mice underwent muscle injuries by intramuscular injection of cardiotoxin (CDTX). All mice were treated with either vehicle or dexamethasone (10mg/kg, intraperitoneal injection) daily from day 0-4. polyA+ RNA was isolated from whole muscle 4 days post injury, libraries generated and sequenced.
Published in
A glucocorticoid spike derails muscle repair to heterotopic ossification after spinal cord injury
Alexander KA, Tseng HW, Lao HW et al. · Cell reports. Medicine 2024 · PMID 39657663 · doi:10.1016/j.xcrm.2024.101849
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 GSE218699_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 PRJNA904909 and SRA study SRP409574. Searching any of these in the dataset finder brings you back here.

Study design
9 × 290_D vs 4 × 290_C

Supports a between-group comparison across 13 samples.

How we read this: 2 replicated groups read from 13 sample titles; they account for 13 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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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.