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Updated: May 7, 2025
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An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
Published on: March 22, 2018
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Operating principles of interconnected feedback loops driving cell fate transitions
Mubasher Rashid1, Abhiram Hegade2
1Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, 208016, India. mubasherrashid@gmail.com.
NPJ Systems Biology and Applications
|January 1, 2025
Summary
Biological feedback loops drive cell fate decisions. Network structure, particularly node centrality and autoregulation, dictates system dynamics and stability, impacting cell lineage and potential engineering applications.
Area of Science:
- Systems biology
- Epigenetics
- Carcinogenesis
Background:
- Interconnected feedback loops are fundamental to biological processes, including cell fate determination in carcinomas.
- The precise operating principles governing these complex regulatory networks are not fully understood.
Purpose of the Study:
- To identify and characterize interconnected feedback loops involved in cell lineage decisions.
- To explore the relationship between network topology, centrality, and the dimensionality of state space in biological systems.
Main Methods:
- Network analysis to identify feedback loops and centrality nodes.
- Computational modeling to analyze state space dimensionality and steady-state distributions.
- Investigation of autoregulated nodes and their impact on network dynamics.
Main Results:
- Identified feedback loops as hallmarks of lower- and higher-dimensional state spaces.
- Demonstrated that higher centrality nodes correlate with restricted state space, while lower centrality nodes correlate with higher dimensional state space.
- Showcased that distinct network topologies with similar node/loop counts yield different steady-state distributions, emphasizing the role of structure.
- Found that autoregulated nodes enable multiple steady states, decoupling dynamics from absolute topological control.
Conclusions:
- Unraveled key design principles of multistable biological networks governing cell fate decisions.
- Findings offer insights into the engineering and comprehension of multi-fate decision circuits in biological systems.
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