← BioTransfer GEO Dataset Finder
GEO series

Targeting PRMT9 Overcomes Venetoclax Resistance In AML By Modulation Splicing And Inhibiting Translation

GSE296895 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2026/05/11 Platform GPL34281
Summary
Arginine methylation catalyzed by protein arginine methyltransferases (PRMTs) is critical for promoting acute myeloid leukemia (AML) growth. But its role in BCL2 inhibitor venetoclax resistance (VEN-R) remains elusive. Here, through a loss-of-function screen in VEN-R primary AML patient-derived xenograft (PDX) cells and cell lines, we identified PRMT9 as a critical regulator to promote VEN resistance. Among PRMTs, PRMT9 is preferentially overexpressed in VEN-R AML cell lines and samples, and its inhibition re-sensitized the cells to VEN treatment. We further report synergy of a PRMT9 inhibitor LD2 with VEN in eradicating resistant AML in preclinical models. Mechanistically, PRMT9 ablation in VEN-R cells disrupted RNA splicing by inducing exon skipping of key regulators such as ALG13, eventually leading to downregulation of ATP-binding transporter encoded by ABCC1 responsible for VEN efflux. Concurrently, PRMT9 inhibition suppressed protein translation, resulting in the degradation of short-lived oncoproteins, including MCL1. These findings establish a critical role for PRMT9-mediated arginine methylation in promoting VEN-R and highlight the potency of combining PRMT9 inhibition with VEN as a novel therapeutic strategy against AML.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE296895_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1261902 and SRA study SRP584756. 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.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all human 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.