← BioTransfer GEO Dataset Finder
GEO series

Histone methyl-transferase G9a inhibition boosts the efficacy of immune checkpoint inhibitors in experimental hepatocellular carcinoma

GSE319486 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/02/16 Platform GPL30173Platform GPL30172
At a glance

RNA-seq (gene expression) · human · 18 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
Homo sapiens (human)
Topic
Hepatocellular carcinomaThis series is part of our curated briefing on it.
Samples
18 samples: 6 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
Histone methyl-transferase G9a inhibition boosts the efficacy of immune checkpoint inhibitors in experimental hepatocellular carcinomaCell reports. Medicine · 2026
Summary (written by the submitters)
Immune checkpoint inhibitors (ICIs) have improved cancer therapy, but their efficacy in hepatocellular carcinoma (HCC) remains limited, partly associated with tumor-intrinsic mechanisms of immune evasion. To investigate potential epigenetic drivers of immune resistance, this study evaluated transcriptional changes following pharmacological inhibition of the histone methyltransferase G9a (EHMT2).
Read the full summary ↓
Bulk RNA sequencing was performed on the murine NM53 and human PLC/PRF/5 HCC cell lines treated with G9a inhibitors. NM53 cells were treated with CM272 with or without interferon gamma (IFN-gamma), and PLC/PRF/5 cells were treated with EZM8266. Gene-level expression was quantified for both cell lines, and transposable element (TE) family-level expression was quantified for NM53 samples.
Published in
Histone methyl-transferase G9a inhibition boosts the efficacy of immune checkpoint inhibitors in experimental hepatocellular carcinoma
Adan-Villaescusa E, Castello-Uribe B, Uriarte I et al. · Cell reports. Medicine 2026 · PMID 41923620 · doi:10.1016/j.xcrm.2026.102717
This dataset
Open GSE319486 in finder → Find more RNA-seq datasets → Hepatocellular carcinoma landscape →
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 GSE319486_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 PRJNA1423601 and SRA study SRP677009. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41923620) ↗
Study design
6 conditions, mostly in triplicate
mouse_NM53_Control ×3 mouse_NM53_CM272 ×3 mouse_NM53_IFNg ×3 mouse_NM53_IFNg_CM272 ×3 human_PLC_PRF_5_Control ×3 human_PLC_PRF_5_EZM8266 ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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
More Hepatocellular carcinoma 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.