Feedback, Crosstalk and Competition: Ingredients for Emergent Non-Linear Behaviour in the PI3K/mTOR Signalling Network
| Autor: | Lan K. Nguyen, Anthony Hart, Sung-Young Shin, Milad Ghomlaghi, Nhan Hoang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Dynamic network analysis
Computer science QH301-705.5 Cellular homeostasis Review Catalysis crosstalk Inorganic Chemistry Phosphatidylinositol 3-Kinases nonlinear dynamics Neoplasms Animals Homeostasis Humans cancer Physical and Theoretical Chemistry Biology (General) Molecular Biology QD1-999 Spectroscopy PI3K/AKT/mTOR pathway TOR Serine-Threonine Kinases Organic Chemistry General Medicine Hedgehog signaling pathway Computer Science Applications Crosstalk (biology) Chemistry Signalling feedback loop Neuroscience Signalling pathways Proto-Oncogene Proteins c-akt PI3K/mTOR signalling |
| Zdroj: | International Journal of Molecular Sciences, Vol 22, Iss 6944, p 6944 (2021) International Journal of Molecular Sciences |
| ISSN: | 1661-6596 1422-0067 |
| Popis: | The PI3K/mTOR signalling pathway plays a central role in the governing of cell growth, survival and metabolism. As such, it must integrate and decode information from both external and internal sources to guide efficient decision-making by the cell. To facilitate this, the pathway has evolved an intricate web of complex regulatory mechanisms and elaborate crosstalk with neighbouring signalling pathways, making it a highly non-linear system. Here, we describe the mechanistic biological details that underpin these regulatory mechanisms, covering a multitude of negative and positive feedback loops, feed-forward loops, competing protein interactions, and crosstalk with major signalling pathways. Further, we highlight the non-linear and dynamic network behaviours that arise from these regulations, uncovered through computational and experimental studies. Given the pivotal role of the PI3K/mTOR network in cellular homeostasis and its frequent dysregulation in pathologies including cancer and diabetes, a coherent and systems-level understanding of the complex regulation and consequential dynamic signalling behaviours within this network is imperative for advancing biology and development of new therapeutic approaches. |
| Databáze: | OpenAIRE |
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