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Updated: Sep 26, 2025

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
Published on: July 29, 2022
Coexpression reveals conserved gene programs that co-vary with cell type across kingdoms.
Megan Crow1, Hamsini Suresh1, John Lee1
1Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor NY, USA.
Gene regulatory differences drive species diversity. Comparative analysis of gene coexpression networks reveals conserved patterns in ancient genes, with differential regulation contributing to cell identity and diversification across kingdoms.
Area of Science:
- Evolutionary biology
- Genomics
- Systems biology
Background:
- Gene regulation underlies species-specific traits.
- Comparative genomics offers insights into evolutionary divergence.
- Gene coexpression networks map functional gene relationships.
Purpose of the Study:
- To investigate the evolution of gene regulation across species.
- To quantify the conservation of gene activity over evolutionary time.
- To understand the role of gene regulation in cell identity and diversification.
Main Methods:
- Comparative analysis of gene coexpression networks from 37 species.
- Quantification of gene activity conservation across evolutionary time.
- Assessment of conservation across different orthology prediction algorithms.
- Evaluation with reference to cell- and tissue-specificity.
Main Results:
- Gene coexpression patterns are conserved across evolutionary time.
- Ancient genes show conserved coexpression but differential expression levels across cell types.
- Differential regulation of ancient gene programs contributes to transcriptional cell identity.
Conclusions:
- Differential gene regulation is a key driver of cell identity.
- This mechanism plays a role in cell diversification in both animals and plants.
- Comparative gene coexpression network analysis is a powerful framework for evolutionary studies.
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