← BioTransfer GEO Dataset Finder
GEO series

Dual function of DOT1L suppresses tumor intrinsic immunogenicity in Hepatocellular carcinoma [RNA-seq]

GSE294355 Mus musculus; Homo sapiens Expression profiling by high throughput sequencing 36 samples Submitted 2026/04/16 Platform GPL24676Platform GPL24247
Summary
Checkpoint inhibitor therapy for Hepatocellular carcinoma (HCC) remains limited in patients’ overall response rate. Discovery and development of more effective combinatorial approaches in HCC checkpoint immunotherapy is urgent. Here, through CPlSPR/Cas9 genetic screens, we identify DOT1L as a versatile epigenetic factor that functions to suppress anti-tumor immunity through a dual mechanism. Depletion of DOT1L induces the expression of transposable elements and subsequent type-I interferon response, and meanwhile lowers ZEB1 levels to further unleash the expression of interferon simulated genes. In turn, we demonstrate that DOT1L loss or treatment with the selective DOT1L inhibitor EPZ-5676 sensitizes tumors to immune checkpoint blockade by increased immune infiltration in mouse. More importantly, EPZ-5676 treatment alone is sufficient to enhance antitumor immunity in humanized mouse model. These findings provide a rationale for targeting DOT1L to improve tumor immunogenicity and overcome immunotherapy resistance.
Published in
Dual function of DOT1L suppresses tumor cell-intrinsic immunogenicity in hepatocellular carcinoma
Xu S, Gong R, Liu S et al. · Oncogene 2026 · PMID 41912776 · doi:10.1038/s41388-026-03744-6
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE294355_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 36 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1249077 and SRA study SRP578085. Searching any of these in the dataset finder brings you back here.

Study design
36 conditions, each sampled once — no replicated groups

Read from 36 sample titles: 36 distinct titles with little repetition. Check it against the sample list below before relying on it.

Samples in this study
Similar datasets

Search all 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.