← BioTransfer GEO Dataset Finder
GEO series

RNAseq of 3 and 5 days differentiated C2C12 cells treated with conditioned medium of KPC, 4662, LLC or C26 cells

GSE194370 Mus musculus (mouse) RNA-seq (gene expression) 42 samples Submitted 2025/12/05 Platform GPL23479
At a glance

RNA-seq (gene expression) · mouse · 42 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
42 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.
Paper
Assessing the involvement of tumor-secreted factors in the inhibition of muscle differentiationBiochimica et biophysica acta. Molecular cell research · 2026
Summary (written by the submitters)
It is well known that tumours can exert direct negative effects on muscle tissue, which can contribute to the development of cancer cachexia. However, the underlying mechanisms and mediators involved in the communication between tumour and skeletal muscle are poorly understood. Cachexia-inducing cancer cell lines are used in both in vivo and in vitro research, they cause cachexia when used in an animal model.
Read the full summary ↓
In the present study, we investigated the effects of conditioned media (CM) from cachexia-inducing cancer cell lines on differentiating skeletal muscle cells. Muscle-derived C2C12 cells were cultured (3-5 days) under differentiation conditions with CM from KPC, 4662, C26 and LLC cell lines and global gene expression was analysed by RNA sequencing.
Published in
Assessing the involvement of tumor-secreted factors in the inhibition of muscle differentiation
van der Ende M, Li X, Poland M et al. · Biochimica et biophysica acta. Molecular cell research 2026 · PMID 41352633 · doi:10.1016/j.bbamcr.2025.120093
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 GSE194370_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 PRJNA800376 and SRA study SRP356666. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 42 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run Sample 1 … Sample 42 and carry no group information.

Samples in this study

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

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.