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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Quantifying the Waddington landscape and biological paths for development and differentiation
1State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, People's Republic of China. jin.wang.1@stonybrook.edu
Summary
We developed a theoretical framework to quantify the Waddington landscape and cell development paths. This model explains cell differentiation, stability, and reverse differentiation, revealing robust developmental dynamics.
Area of Science:
- Theoretical biology
- Developmental biology
- Cellular dynamics
Background:
- Cellular development and differentiation are complex processes.
- The Waddington landscape is a conceptual model for cell fate decisions.
- Quantifying developmental pathways and cell stability remains a challenge.
Purpose of the Study:
- To develop a theoretical framework for quantifying the Waddington landscape and biological paths.
- To analyze cell development from undifferentiated to differentiated states.
- To investigate the dynamics and stability of cell differentiation and reverse differentiation.
Main Methods:
- Constructed a probability landscape to quantify the Waddington landscape.
- Defined cell types as basins of attraction within the probability landscape.
- Analyzed developmental and reverse differentiation paths using landscape dynamics.
Main Results:
- Quantified the Waddington landscape and identified biological paths for cell development.
- Demonstrated that cell type stability correlates with basin barrier height.
- Showed that developmental dynamics are governed by landscape gradient and curl forces.
- Characterized reverse differentiation as an irreversible process distinct from differentiation.
- Confirmed the robustness of developmental processes against environmental perturbations.
Conclusions:
- The theoretical framework successfully quantifies the Waddington landscape and cell development.
- Cellular development and stability can be understood through landscape dynamics and biological paths.
- The model provides insights into cell reprogramming and the inherent stability of developmental trajectories.

