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Transcriptomic profiling of C2C12 myotubes treated with D-galactose and red ginseng-derived interventions

GSE333910 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2026/06/06 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 10 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.
Summary (written by the submitters)
This study investigated transcriptomic alterations in differentiated C2C12 myotubes following treatment with D-galactose and red ginseng-derived interventions. Fully differentiated C2C12 myotubes were treated with Korean Red Ginseng water extract (RGW), saponin fraction (SFr), non-saponin fraction (NSFr), or ginsenoside Rb2 either alone or in combination with D-galactose.
Read the full summary ↓
Bulk RNA sequencing was performed to characterize the transcriptional effects of each intervention under basal conditions and to evaluate their modulatory effects on D-galactose-induced cellular aging-associated transcriptomic changes.
This dataset
Open GSE333910 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 GSE333910_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 PRJNA1473200 and SRA study SRP705738. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
10 conditions, mostly in triplicate
Vehicle control ×3 D-galactose ×3 RGW ×3 RGW plus D-galactose ×3 SF ×3 SFr plus D-galactose ×3 NSF ×3 NSFr plus D-galactose ×3 +2 more

Supports a between-group comparison across 30 samples.

How we read this: 10 replicated groups read from 30 sample titles; they account for 30 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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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.