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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
Genome-wide system analysis reveals stable yet flexible network dynamics in yeast
M Gustafsson1, M Hörnquist, J Björkegren
1Department of Science and Technology, Linköping University, Norrkoping, Sweden. micho@itn.liu.se
IET Systems Biology
|July 31, 2009
Summary
This study reveals how gene regulatory networks in budding yeast achieve stability and flexibility. Key findings show that repressed hubs enhance stability, while module dynamics boost flexibility, enabling sensitive responses to external signals.
Area of Science:
- Systems Biology
- Genomics
- Network Science
Background:
- Static network topologies of biological systems are well-studied.
- Global dynamical properties, crucial for stability and responsiveness, remain challenging to analyze.
Purpose of the Study:
- To explore genome-wide gene-to-gene regulatory networks in Saccharomyces cerevisiae (budding yeast).
- To uncover novel dynamical design principles governing network stability and flexibility.
Main Methods:
- Analysis of genome-wide gene expression data from the yeast cell cycle.
- Inference of gene-to-gene regulatory interactions, including hubs, motifs, and modules.
- Global dynamical systems analysis of the inferred network.
Main Results:
- Identified static properties like hubs, network motifs, and modules.
- Uncovered dynamical principles: hubs act as both repressors and are repressed, intra-modular dynamics are strong, and inter-modular couplings are weak.
- Inferred network dynamics demonstrate enhanced stability and flexibility compared to randomized networks.
Conclusions:
- Repressed hubs significantly increase system stability.
- Module dynamics primarily enhance system flexibility.
- Network structures (hubs, motifs, modules) create few flexible modes, leading to heightened sensitivity to external signals.
- The inferred mode of stability and flexibility is likely applicable to other cellular and adaptive systems.
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