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Large scale cell-based transcriptome data treated with Jakyakgamcho-tang

GSE297726 Mus musculus (mouse) RNA-seq (gene expression) 165 samples Submitted 2025/10/24 Platform GPL30215
At a glance

RNA-seq (gene expression) · mouse · 165 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
165 samples: 55 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.
Paper
Multidimensional transcriptome dataset for systematic evaluation of Jakyakgamcho-tang-induced cell signaturesScientific data · 2026
Summary (written by the submitters)
Whole transcriptomic analysis in C2C12 cells was conducted, comparing cells treated with a vehicle control to those treated with three different concentrations of JGT-E and JGT-W. All experiments were performed in triplicate.
Published in
Multidimensional transcriptome dataset for systematic evaluation of Jakyakgamcho-tang-induced cell signatures
Baek SJ, Lee H, Park SM et al. · Scientific data 2026 · PMID 41651870 · doi:10.1038/s41597-026-06759-6
This dataset
Open GSE297726 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 GSE297726_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 PRJNA1265962 and SRA study SRP587444. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41651870) ↗
Study design
55 conditions, mostly in triplicate
JGW01 (500 ug/mL dose) ×3 JGW01 (100 ug/mL dose) ×3 JGW01 (20 ug/mL dose) ×3 JGW02 (500 ug/mL dose) ×3 JGW02 (100 ug/mL dose) ×3 JGW02 (20 ug/mL dose) ×3 JGW04 (500 ug/mL dose) ×3 JGW04 (100 ug/mL dose) ×3 +47 more

Supports a between-group comparison across 165 samples.

How we read this: 55 replicated groups read from 165 sample titles; they account for 165 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

+ 125 more — browse all 165 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.