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1.
PLoS Comput Biol ; 17(11): e1009606, 2021 11.
Article in English | MEDLINE | ID: mdl-34797839

ABSTRACT

The Hippo-YAP/TAZ signaling pathway plays a critical role in tissue homeostasis, tumorigenesis, and degeneration disorders. The regulation of YAP/TAZ levels is controlled by a complex regulatory network, where several feedback loops have been identified. However, it remains elusive how these feedback loops contain the YAP/TAZ levels and maintain the system in a healthy physiological state or trap the system in pathological conditions. Here, a mathematical model was developed to represent the YAP/TAZ regulatory network. Through theoretical analyses, three distinct states that designate the one physiological and two pathological outcomes were found. The transition from the physiological state to the two pathological states is mechanistically controlled by coupled bidirectional bistable switches, which are robust to parametric variation and stochastic fluctuations at the molecular level. This work provides a mechanistic understanding of the regulation and dysregulation of YAP/TAZ levels in tissue state transitions.


Subject(s)
Homeostasis , Neoplasms/metabolism , Carcinogenesis , Humans , Neoplasms/pathology
2.
PLoS Comput Biol ; 16(3): e1007682, 2020 03.
Article in English | MEDLINE | ID: mdl-32155144

ABSTRACT

Epithelial-to-mesenchymal transition (EMT) is a fundamental cellular process and plays an essential role in development, tissue regeneration, and cancer metastasis. Interestingly, EMT is not a binary process but instead proceeds with multiple partial intermediate states. However, the functions of these intermediate states are not fully understood. Here, we focus on a general question about how the number of partial EMT states affects cell transformation. First, by fitting a hidden Markov model of EMT with experimental data, we propose a statistical mechanism for EMT in which many unobservable microstates may exist within one of the observable macrostates. Furthermore, we find that increasing the number of intermediate states can accelerate the EMT process and that adding parallel paths or transition layers may accelerate the process even further. Last, a stabilized intermediate state traps cells in one partial EMT state. This work advances our understanding of the dynamics and functions of EMT plasticity during cancer metastasis.


Subject(s)
Epithelial-Mesenchymal Transition/physiology , Models, Biological , Neoplasm Metastasis , Animals , Computational Biology , Energy Metabolism , Humans , Markov Chains , Mice , Neoplasm Metastasis/pathology , Neoplasm Metastasis/physiopathology , Neoplasms/pathology , Neoplasms/physiopathology
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