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Inhibition of PRMT5 sensitizes B-cell non-Hodgkin lymphoma cells to both intrinsic and extrinsic apoptotic cell death

GSE311739 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/04/29 Platform GPL28038
At a glance

RNA-seq (gene expression) · human · 12 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)
Samples
12 samples: 3 × OCI_Ly1_c vs 3 × OCI_Ly1_J vs 3 × SUDHL4_c vs 3 × SUDHL4_JGroups 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
Inhibition of PRMT5 sensitizes B-cell non-Hodgkin lymphoma cells to both intrinsic and extrinsic apoptotic cell deathBlood neoplasia · 2026
Summary (written by the submitters)
Protein arginine methyltransferase 5 (PRMT5), a type II arginine methyltransferase, is overexpressed in several aggressive B cell malignancies and facilitates cancer cell growth. JNJ-64619178, a selective small molecule inhibitor targeting PRMT5, has previously shown promising pre-clinical activity across a range of hematologic malignancies; however, the clinical activity of JNJ-64619178 monotherapy is limited despite strong target engagement.
Read the full summary ↓
Thus, we sought to identify rational combination partners for JNJ-64619178 to achieve improved activity in B cell malignancies. Using dynamic BH3 profiling, a functional assay to evaluate the net increase in pro-apoptotic signaling in response to drugs, we found that JNJ-64619178 increased mitochondrial apoptotic priming and BCL-2 dependence particularly in diffuse large B cell lymphoma (DLBCL) and mantle cell lymphoma cell lines (MCL).In other B-cell non-Hodgkin lymphoma (NHL) cell lines that are primarily MCL-1 dependent and less BCL-2 dependent, JNJ-64619178 increased mitochondrial apoptotic priming without switching anti-apoptotic dependence from MCL-1 to BCL-2. Co-targeting PRMT5 and BCL-2 synergistically induced apoptosis in DLBCL and MCL cell lines that displayed at least partial BCL-2 dependence at baseline but not in less BCL-2-dependent B-cell NHL cell lines. Interestingly, we found that JNJ-64619178 upregulated DR4 and DR5 expression on the cell membrane of B-cell NHL cells, thereby sensitizing them to recombinant TRAIL-induced extrinsic apoptotic cell death. These findings highlight a role of PRMT5 in regulating both intrinsic and extrinsic apoptosis and suggest potential combination partners with PRMT5 inhibitors to explore for potential clinical application in B-cell NHL.
Published in
Inhibition of PRMT5 sensitizes B-cell non-Hodgkin lymphoma cells to both intrinsic and extrinsic apoptotic cell death
Zhu F, Wang J, Ryan CE et al. · Blood neoplasia 2026 · PMID 42376204 · doi:10.1016/j.bneo.2026.100249
This dataset
Open GSE311739 in finder → Find more human RNA-seq datasets →
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 GSE311739_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 PRJNA1370848 and SRA study SRP649700. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42376204) ↗
Study design
3 × OCI_Ly1_c vs 3 × OCI_Ly1_J vs 3 × SUDHL4_c vs 3 × SUDHL4_J

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
Datasets on a similar topic

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