Abstract

How a cell changes from one stable phenotype to another one is a fundamental problem in developmental and cell biology. Mathematically, a stable phenotype corresponds to a stable attractor in a generally multi-dimensional state space, which needs to be destabilized so the cell relaxes to a new attractor. Two basic mechanisms for destabilizing a stable fixed point, pitchfork and saddle-node bifurcations, have been extensively studied theoretically; however, direct experimental investigation at the single-cell level remains scarce. Here, we performed live cell imaging studies and analyses in the framework of dynamical systems theories on epithelial-to-mesenchymal transition (EMT). While some mechanistic details remain controversial, EMT is a cell phenotypic transition (CPT) process central to development and pathology. Through time-lapse imaging we recorded single cell trajectories of human A549/Vim-RFP cells undergoing EMT induced by different concentrations of exogenous TGF-β in a multi-dimensional cell feature space. The trajectories clustered into two distinct groups, indicating that the transition dynamics proceeds through parallel paths. We then reconstructed the reaction coordinates and the corresponding quasi-potentials from the trajectories. The potentials revealed a plausible mechanism for the emergence of the two paths where the original stable epithelial attractor collides with two saddle points sequentially with increased TGF-β concentration, and relaxes to a new one. Functionally, the directional saddle-node bifurcation ensures a CPT proceeds towards a specific cell type, as a mechanistic realization of the canalization idea proposed by Waddington.

Highlights

  • Cells of multicellular organisms assume different phenotypes that can have drastically different functions, morphologies, and gene expression patterns, and can undergo distinct changes when subjected to specific stimuli and microenvironments

  • To address the above challenge when studying Epithelial-to-mesenchymal transition (EMT) dynamics, recently we developed a platform of tracking cell state change in a composite cell feature space that is accessible for multiplex and long-term live cell imaging [11]

  • Cell type regulation is an important topic in mathematical and systems biology, and several theoretical and computational studies on modeling cell phenotypic transition (CPT) systems have been performed in the context of rate theories [32,33,34,35,36,37,38,39]

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Summary

INTRODUCTION

Cells of multicellular organisms assume different phenotypes that can have drastically different functions, morphologies, and gene expression patterns, and can undergo distinct changes when subjected to specific stimuli and microenvironments. As recognized in a consensus statement from researchers in the EMT field, several open questions and challenges exist on understanding the mechanisms of the EMT process [8] It is unclear whether the process proceeds as hopping among a small number of discrete and distinct intermediate states, or a continuum of such states with no clear boundary. Pseudo-time analyses of high throughput single cell genomics studies infer that EMT proceeds through a 1-D continuum path [9], consistent with a prevalent EMT axis concept with the epithelial and the mesenchymal states as the two end states [10] These predictions, which are indirectly inferred from snapshot single cell data, require direct testing by tracking single cells over time. We analyze an ensemble of recorded multi-dimensional single cell trajectories within the framework of reaction rate theories that have been a focused subject in the context of physics and chemistry

RESULTS
DISCUSSION
MATERIALS AND METHODS
6) Procedure for determining a reaction coordinate
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