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Quantifying cell transitions in C. elegans with data-fitted landscape models
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Quantifying cell transitions in C. elegans with data-fitted landscape models
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Journal Article
Quantifying cell transitions in C. elegans with data-fitted landscape models
2021
Overview
Increasing interest has emerged in new mathematical approaches that simplify the study of complex differentiation processes by formalizing Waddington’s landscape metaphor. However, a rational method to build these landscape models remains an open problem. Here we study vulval development in
C. elegans
by developing a framework based on Catastrophe Theory (CT) and approximate Bayesian computation (ABC) to build data-fitted landscape models. We first identify the candidate qualitative landscapes, and then use CT to build the simplest model consistent with the data, which we quantitatively fit using ABC. The resulting model suggests that the underlying mechanism is a quantifiable two-step decision controlled by EGF and Notch-Delta signals, where a non-vulval/vulval decision is followed by a bistable transition to the two vulval states. This new model fits a broad set of data and makes several novel predictions.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Caenorhabditis elegans - cytology
/ Computer and Information Sciences
/ Epidermal Growth Factor - metabolism
/ Female
/ Intracellular Signaling Peptides and Proteins - metabolism
/ Medicine and Health Sciences
/ Membrane Proteins - metabolism
/ Receptors, Notch - metabolism
