Sign in
Cancer BiologybioRxiv
Preprint

Combinatorial cooperativity can facilitate epithelial-mesenchymal transition in a miR200-Zeb feedback network

M. Rashid, B. M. Devi, M. Banerjee

Abstract

Carcinoma cells often utilize epithelial-mesenchymal transition (EMT) programs for cancer progression and metastasis. Numerous studies point to the SNAIL-induced miR200/Zeb feedback circuit as crucial in regulating EMT by shifting cancer cells to at least three (epithelial (E), hybrid (h E/M), mesenchymal (M)) phenotypic states arrayed along the epithelial-mesenchymal phenotypic spectrum. However, a coherent molecular-level understanding of how such a tiny circuit controls carcinoma cell entrance into and residence in various states is lacking. Here, we use molecular binding data and mathematical modeling to report that miR200/Zeb circuit can essentially utilize combinatorial cooperativity to control E-M phenotypic plasticity. We identify minimal combinatorial cooperativities that give rise to E, hybrid-E/M, and M phenotypes. We show that disrupting a specific number of miR200 binding sites on Zeb as well as Zeb binding sites on miR200 can have phenotypic consequences - the circuit can dynamically switch between two (E, M) and three (E, hybrid-E/M, M) phenotypes. Further, we report that in both SNAIL-induced and SNAIL knock-out miR200/Zeb circuits, cooperative transcriptional feedback on Zeb as well as Zeb translational inhibition due to miR200 are essential for the occurrence of intermediate hybrid-E/M phenotype. Finally, we demonstrate that SNAIL can be dispensable for EMT, and in the absence of SNAIL, the transcriptional feedback can control cell state transition from E to hybrid-E/M, to M state. Our results thus highlight molecular-level regulation of EMT in miR200/Zeb circuit and we expect these findings to be crucial to future efforts aiming to prevent EMT-facilitated dissemination of carcinomas.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISJia '19Jolly '18Jia '17Dey '25Sarkar '19Cursons '18
75% semantic matchBiophysics
W. Jia, A. Deshmukh, S. A. Mani+2 more·bioRxiv·May 30, 2019