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Constructing temporal regulatory cascades in the context of development and cell differentiation
Rayan Daou1, Tim Beißbarth1, Edgar Wingender1
1Department of Medical Bioinformatics, University Medical Center Göttingen, Goettingen, Niedersachsen, Germany.
Plos One
|April 11, 2020
Summary
This study introduces a novel workflow and web-tool to map temporal regulatory cascades (TRC) in cell differentiation. The tool identifies key regulators and their interactions over time, aiding tissue regeneration and organoid engineering research.
Area of Science:
- Developmental Biology
- Systems Biology
- Computational Biology
Background:
- Cell differentiation involves complex regulatory networks and stage-specific master regulators.
- Understanding these mechanisms is crucial for tissue regeneration and organoid engineering.
Purpose of the Study:
- To develop a computational workflow and user-friendly tool for generating temporal regulatory cascades (TRC).
- To identify stage-specific regulators and their interactions during cell differentiation.
Main Methods:
- Combined general regulatory network predictions with temporal gene expression data.
- Developed a visual web-tool for generating and analyzing TRCs.
- Applied the TRC model to human induced pluripotent stem cell (hiPSC) differentiation into cardiomyocytes and neuronal precursor cells.
Main Results:
- Successfully generated TRCs, revealing stage-specific regulators and their temporal emergence.
- Identified known and novel key regulators associated with specific time points in cardiac and neural development.
- The web-tool provides interactive visualization for exploring regulators, target genes, and interactions.
Conclusions:
- The TRC workflow and tool offer a powerful, accessible method for dissecting regulatory mechanisms in cell differentiation.
- This approach facilitates the discovery of key regulators for applications in regenerative medicine and organoid development.
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