Epithelial-to-mesenchymal Transition Proceeds Through Directional Destabilization of Multidimensional Attractor
Affiliations
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.
Transition paths across the EMT landscape are dictated by network logic.
Dey A, MacLean A bioRxiv. 2024; .
PMID: 39677780 PMC: 11642844. DOI: 10.1101/2024.12.03.626660.
Cheng Y, Zhang Y, Tripathi S, Harshavardhan B, Jolly M, Schiebinger G Proc Natl Acad Sci U S A. 2024; 121(32):e2406842121.
PMID: 39093947 PMC: 11317558. DOI: 10.1073/pnas.2406842121.
Regulating epithelial-mesenchymal plasticity from 3D genome organization.
Pang Q, Chiu Y, Huang R Commun Biol. 2024; 7(1):750.
PMID: 38902393 PMC: 11190238. DOI: 10.1038/s42003-024-06441-w.
Dynamics of Single-Cell Protein Covariation during Epithelial-Mesenchymal Transition.
Khan S, Conover R, Asthagiri A, Slavov N J Proteome Res. 2024; .
PMID: 38663020 PMC: 11502509. DOI: 10.1021/acs.jproteome.4c00277.
Data- and theory-driven approaches for understanding paths of epithelial-mesenchymal transition.
Hong T, Xing J Genesis. 2024; 62(2):e23591.
PMID: 38553870 PMC: 11017362. DOI: 10.1002/dvg.23591.