← BioTransfer GEO Dataset Finder
GEO series

METTL3 Knockout Accelerates Hepatocarcinogenesis via Inhibiting Endoplasmic Reticulum Stress Response

GSE289320 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2025/02/15 Platform GPL24247
Summary
Hepatocellular carcinoma (HCC) is among the most common cause of cancer-related death worldwide. Previous studies showed that N6-methyladenosine (m⁶A), the most abundant chemical modification in eukaryotic RNAs, is implicated in HCC progression. Using liver-specific conditional knockout mice, here we found that loss of METTL3, the core catalytic subunit of m⁶A methyltransferase, significantly promoted hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency accelerates HCC initiation by inhibiting m6A/Manf/endoplasmic reticulum (ER) stress response. Our findings suggest a tumor-suppressive role for METTL3 in the early stages of HCC, emphasizing the importance of understanding the dynamic role of epigenetic regulation in tumorigenesis and targeted therapy.
Published in
METTL3 knockout accelerates hepatocarcinogenesis via inhibiting endoplasmic reticulum stress response
Cui B, Tu S, Li H et al. · FEBS open bio 2025 · PMID 40103332 · doi:10.1002/2211-5463.70023
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE289320_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 PRJNA1222413 and SRA study SRP563254. 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.