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Engineering Bi-directional Chemically-modulated Synthetic Condensates for Cellular Control

GSE281634 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/06/15 Platform GPL24676
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 × blank HEK293 cells vs 3 × HEK293 cells stably expressing ARDrop-ALK vs 3 × HEK293 cells stably expressing ARDrop-ALK_3 treated with DMSO for 2 hours vs 3 × HEK293 cells stably expressing ARDrop-ALK_3 treated with BICA for 2 hoursGroups 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
Engineering bi-directional chemically-modulated synthetic condensates for cellular controlNature communications · 2025
Summary (written by the submitters)
Biomolecular condensates are membraneless compartments involved in a wide range of cellular processes. Despite their fundamental role in the spatiotemporal regulation of cellular functions, tools for precisely manipulating phase-separated condensates remain limited, and effective methods for discovering and functionalizing tunable phase separation modules from natural proteins are lacking.
Read the full summary ↓
Here we present a rational engineering approach for androgen receptor (AR) and its clinically used drugs to create a chemical genetic platform, ARDrop, enabling condensates formation and dissolution. This platform is applied to a diverse set of proteins to achieve intended cellular functions, ensuring robust and long-lasting functionality through stable liquid-like properties. Our work develops a powerful toolkit for reversible manipulation of condensates that can be used for dissection of complicated cell signaling, laying the foundation for engineering designer condensates for synthetic biology applications.
Published in
Engineering bi-directional chemically-modulated synthetic condensates for cellular control
Zhen N, Yan Y, Zhu G et al. · Nature communications 2025 · PMID 40675979 · doi:10.1038/s41467-025-61877-w
This dataset
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.

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 GSE281634_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1184702 and SRA study SRP544438. Searching any of these in the dataset finder brings you back here.

Study design
3 × blank HEK293 cells vs 3 × HEK293 cells stably expressing ARDrop-ALK vs 3 × HEK293 cells stably expressing ARDrop-ALK_3 treated with DMSO for 2 hours vs 3 × HEK293 cells stably expressing ARDrop-ALK_3 treated with BICA for 2 hours

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
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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.