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Host-Directed Antiviral Activity of SB2960 Through Selective Induction and Remodeling of Stress Granules

GSE298032 Homo sapiens (human) RNA-seq (gene expression) 22 samples Submitted 2026/04/28 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 22 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
22 samples: 6 conditions, mostly with about 6 replicates eachGroups 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
Host-Directed Antiviral Activity of SB2960 Through Selective Induction and Remodeling of Stress GranulesAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Summary (written by the submitters)
The increasing prevalence of emerging infectious diseases highlights the urgent need for broad-spectrum antiviral therapeutics. Here, we report the discovery of SB2960, a small molecule that promotes stress granule (SG) formation and exhibits potent antiviral activity across diverse viral species. Here, we applied genetically-encoded photosentisizer miniSOG induced RNA labeling technique CAP-seq to profile RNA components in SG induced by poly(I:C) and drug SB2960 to investigate how SB2960 modulates the RNAs composition of SGs.
Published in
Host-Directed Antiviral Activity of SB2960 Through Selective Induction and Remodeling of Stress Granules
Byun WG, Son S, Lee J et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2026 · PMID 41532664 · doi:10.1002/advs.202512972
This dataset
Open GSE298032 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 GSE298032_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 PRJNA1267138 and SRA study SRP587352. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41532664) ↗
Study design
6 conditions, mostly with about 6 replicates each
C) and 3hr 0.5%DMSO, Enrich, ×6 C) and 3hr SB2960, Enrich, ×6 C) and 3hr 0.5%DMSO, Input, ×3 C) and 3hr SB2960, Input, ×3 C) and 3hr 0.5%DMSO, omit PA, Enrich, ×2 C) and 3hr SB2960, omit PA, Enrich, ×2

Supports a between-group comparison across 22 samples.

How we read this: 6 replicated groups read from 22 sample titles; they account for 22 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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