Distinguishing Mechanisms Underlying EMT Tristability
Dongya Jia, Mohit Kumar Jolly, Satyendra C. Tripathi, Petra Den, Hollander, Bin Huang, Mingyang Lu, Muge Celiktas, Esmeralda Ramirez-Pe\~na,, Eshel Ben-Jacob, Jos\'e N. Onuchic, Samir M. Hanash, Sendurai A. Mani,, Herbert Levine

TL;DR
This study combines experiments and modeling to analyze EMT tristability, comparing two mathematical models, and provides evidence favoring the ternary chimera switch model for EMT regulation.
Contribution
It offers a detailed comparison of TCS and CBS models, integrating experimental data to identify the model that best explains EMT dynamics.
Findings
Both models explain key EMT features.
ZEB1 levels are intermediate in hybrid cells.
Overexpression of SNAIL alone does not induce EMT without ZEB1.
Abstract
Background: The Epithelial-Mesenchymal Transition (EMT) endows epithelial-looking cells with enhanced migratory ability during embryonic development and tissue repair. EMT can also be co-opted by cancer cells to acquire metastatic potential and drug-resistance. Recent research has argued that epithelial (E) cells can undergo either a partial EMT to attain a hybrid epithelial/mesenchymal (E/M) phenotype that typically displays collective migration, or a complete EMT to adopt a mesenchymal (M) phenotype that shows individual migration. The core EMT regulatory network - miR-34/SNAIL/miR-200/ZEB1 - has been identified by various studies, but how this network regulates the transitions among the E, E/M, and M phenotypes remains controversial. Two major mathematical models - ternary chimera switch (TCS) and cascading bistable switches (CBS) - that both focus on the miR-34/SNAIL/miR-200/ZEB1…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCancer Cells and Metastasis · Gene Regulatory Network Analysis · Microtubule and mitosis dynamics
