| Literature DB >> 33544134 |
Alexander Martin Heberle1,2, Ulrike Rehbein1,2,3, Maria Rodríguez Peiris1,3, Kathrin Thedieck1,2,3.
Abstract
Cells have evolved highly intertwined kinase networks to finely tune cellular homeostasis to the environment. The network converging on the mechanistic target of rapamycin (MTOR) kinase constitutes a central hub that integrates metabolic signals and adapts cellular metabolism and functions to nutritional changes and stress. Feedforward and feedback loops, crosstalks and a plethora of modulators finely balance MTOR-driven anabolic and catabolic processes. This complexity renders it difficult - if not impossible - to intuitively decipher signaling dynamics and network topology. Over the last two decades, systems approaches have emerged as powerful tools to simulate signaling network dynamics and responses. In this review, we discuss the contribution of systems studies to the discovery of novel edges and modulators in the MTOR network in healthy cells and in disease.Entities:
Keywords: amino acids; computational models; mechanistic target of rapamycin; protein kinase B; signaling; systems biology
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Year: 2021 PMID: 33544134 PMCID: PMC7924996 DOI: 10.1042/BST20190730
Source DB: PubMed Journal: Biochem Soc Trans ISSN: 0300-5127 Impact factor: 5.407