← BioTransfer GEO Dataset Finder
GEO series

SIRT2 deacylase modulators control B cell metabolic reprogramming in EBV infection and mitogenic activation

GSE342301 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2026/08/06 Platform GPL24676
Summary
Sirtuin-2 (SIRT2) is a cellular deacylase, regulating cell cycle progression and metabolic homeostasis. Recently, SIRT2 has emerged as a target with both anticancer and antiviral potential. However, the role and targetability of SIRT2 in viral-driven cancers remains unexplored. Epstein-Barr virus (EBV) is a ubiquitous herpesvirus with oncogenic potential that establishes latency in B lymphocytes and is typically controlled by a robust T cell immune response. In settings that compromise this response, such as immune suppression following transplant, EBV can cause B cell lymphomas. With broad immunosuppression and varying response rates limiting the effectiveness of existing lymphoma therapeutics, new strategies are necessary. SIRT2 modulation significantly alters gene expression and metabolism of EBV-infected B cells. Treatment with SIRT2 modulators drives hyperacetylation of targets involved in lipid metabolism, central carbon metabolism, and oxidative phosphorylation. EBV-positive and EBV-negative B cell lymphomas rely on glycolysis to avoid cell death after SIRT2 modulation, revealing a metabolic vulnerability that can be harnessed to kill lymphoma cells. Overall, we have identified how SIRT2 could be implicated as a novel target of therapeutic potential for B cell lymphomas, while also defining fundamental roles for extranuclear lysine acetylation in regulating B cell proliferation and metabolism.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE342301_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 PRJNA1507326. Searching any of these in the dataset finder brings you back here.

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

Read from 8 sample titles: 8 distinct titles with little repetition. Check it against the sample list below before relying on it.

Samples in this study
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.