← BioTransfer GEO Dataset Finder
GEO series

A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma [RNA-seq]

GSE298745 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2025/11/14 Platform GPL32159
Summary
RNA sequencing was performed on mouse liver tissue samples from four groups: ND+oil (normal), WD+oil (NASH), ND+CCl₄ (cirrhosis), and WD+CCl₄ (HCC).
Published in
A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma
Hwang JS, Lee S, Kim G et al. · Cancer communications (London, England) 2025 · PMID 40571304 · doi:10.1002/cac2.70043
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE298745_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1271051 and SRA study SRP589426. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

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.