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Stress granule phase separation in stress-responsive cytosolic extract-in-oil droplets

GSE308184 Homo sapiens (human) Single-cell RNA-seq 15 samples Submitted 2026/04/24 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 15 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
15 samples: 5 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
Stress granule phase separation in stress-responsive cytosolic extract-in-oil dropletsNature communications · 2026
Summary (written by the submitters)
Stress granules (SGs) are biomolecular condensates that form transiently in the cytosol of mammalian cells in response to stress. Dysregulation of their assembly or disassembly is implicated in human age-related diseases. While phase separation is the key process underlying SG assembly, understanding of their function, composition and regulation in response to physiological stimuli is limited.
Read the full summary ↓
This knowledge gap reflects the challenge of gaining comprehensive and quantitative insights into the dynamic regulation of the complex composition of SGs at the single-cell level. Here we present an emulsion-based microfluidics method to overcome this limitation. "Cytosolic extracts-in-oil droplets” (CEODs) recreate a confined active cytosolic milieu that undergoes phase separation and SG formation in response to stress under physiological conditions. This approach led to the discovery of six novel SG components involved in signalling pathways. CEODs provide a versatile and cost-effective screening platform for future mechanistic and therapeutic studies.
Published in
Stress granule phase separation in stress-responsive cytosolic extract-in-oil droplets
Lieber A, Staufer O, Sun Z et al. · Nature communications 2026 · PMID 42248842 · doi:10.1038/s41467-026-73936-x
This dataset
Open GSE308184 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 GSE308184_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1329179 and SRA study SRP620709. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42248842) ↗
Study design
5 conditions, mostly in triplicate
U2OS cytosolic extract, input, biol ×3 U2OS cytosolic condensates, mock treatment, b… ×3 U2OS cytosolic condensates, dsRNA treatment, … ×3 U2OS cytosolic condensates, silvestrol treatm… ×3 U2OS cytosolic condensates, PEG treatment, bi… ×3

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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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