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Effects of electrical pulse stimulation and hydrogen peroxide as its byproduct on in vitro contractile skeletal muscle tissue.

GSE289180 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/03/12 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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
Homo sapiens (human)
Samples
12 samples: 3 × HSMM myofiber sheet, condition No1 vs 3 × HSMM myofiber sheet, condition No2 vs 3 × HSMM myofiber sheet, condition No3 vs 3 × HSMM myofiber sheet, condition No4Groups 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.
Summary (written by the submitters)
The in vitro human skeletal muscle model is a valuable tool for studying muscle physiology and the mechanisms underlying muscle diseases. Tissue engineering approach could produce contractile human muscle tissue, with electrical pulse stimulation (EPS) enhancing its contractile ability. We evaluated transcriptomic changes induced by EPS, two different patterns of EPS were applied to differentiated human myofiber sheets with cultured fibrin-gel.
Read the full summary ↓
After 3 days of EPS-induced exercise, RNA was extracted from these two differently stimulated samples and non-stimulated control sample and analyzed by RNA-sequencing. For the samples with an excess EPS pattern, catalase was supplemented in the media to degrade hydrogen peroxide generated by EPS, and RNA was extracted from the stress-mitigated sample and also analyzed by RNA-sequencing.
This dataset
Open GSE289180 in finder → Find more human 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 GSE289180_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 PRJNA1221863 and SRA study SRP562914. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × HSMM myofiber sheet, condition No1 vs 3 × HSMM myofiber sheet, condition No2 vs 3 × HSMM myofiber sheet, condition No3 vs 3 × HSMM myofiber sheet, condition No4

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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