GEO series

Coactivator condensation drives lineage specification

GSE235928 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 14 samples Submitted 2024/03/20 Platform GPL18573

At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 14 samples

What it is: ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism: Homo sapiens (human)
Samples: 14 samples
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: Coactivator condensation drives cardiovascular cell lineage specificationScience advances · 2024

Summary (written by the submitters)

During development, cells make switch-like decisions to activate the expression of new gene programs leading to lineage specification1. The mechanisms underlying these decisive choices remain unclear2. Here we find that Myocardin (MYOCD), a cardiomyocyte and smooth muscle cell-specific transcriptional coactivator3-6, activates lineage-specific gene programs by concentration-dependent and switch-like formation of nuclear condensates.

Read the full summary ↓

While compartmentalization of the transcriptional machinery by condensates has been associated with gene activation7,8, directly linking the two processes has been a major challenge for the field9,10. By modeling the natural changes in MYOCD concentration during development, coupled with quantitative fluorescence microscopy, single-cell resolution reporter assays, and cellular differentiation assays, we demonstrate that condensate formation is directly linked to transcriptional activation and lineage specification. During cardiomyocyte and smooth muscle cell differentiation, the formation of MYOCD condensates precedes activation of cell identity genes and these condensates are present at sites of cell identity gene transcription. MYOCD condensates form, activate gene expression, and specify cell state at critical concentration thresholds, dependent upon the C-terminal disordered region of MYOCD. Disrupting condensate formation by manipulating the sequence of this region impairs gene activation which can be rescued by replacing this region with condensate-forming disordered regions from functionally unrelated proteins. These results demonstrate that coactivator condensation at critical concentrations enables switch-like changes in gene expression programs crucial for lineage specification.

Published in

Coactivator condensation drives cardiovascular cell lineage specification

Gan P, Eppert M, De La Cruz N et al. · Science advances 2024 · PMID 38489358 · doi:10.1126/sciadv.adk7160

This dataset

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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 GSE235928_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA988048 and SRA study SRP446077. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38489358) ↗

Samples in this study

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+ 14 more — browse all 14 samples with per-sample file links →

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