The Systemic Control of Growth, Physiology, and Behavior by TOR Signaling in Drosophila

Autor: Nathalie Arquier, Pierre Léopold, Renald Delanoue
Přispěvatelé: Institut de Biologie Valrose (IBV), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Université Nice Sophia Antipolis (1965 - 2019) (UNS)
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Zdroj: The Enzymes-Structure, Function and Regulation of TOR complexes from Yeasts to Mammals (Part B), Vol XXVIII
The Enzymes-Structure, Function and Regulation of TOR complexes from Yeasts to Mammals (Part B), Vol XXVIII, pp.189-204, 2010, ⟨10.1016/S1874-6047(10)28009-5⟩
Popis: Publisher Summary This chapter discusses the systemic control of growth, physiology, and behavior by target of rapamycin (TOR) signaling in Drosophila . Cells, tissues, and organisms rely on nutrient uptake for growth. In isolated cells, the TOR pathway plays a pivotal role in coupling nutrient and oxygen status with metabolic and biosynthetic regulation. One of the critical functions of the TOR complex is to link the nutrient/energy status of cells to metabolic homeostasis and growth. In multicellular organisms, the availability of nutrients and energy homeostasis are controlled by endocrine regulation that brings into question the role of a cell-based sensor. Studies using the invertebrate model Drosophila melanogaster suggest that the TOR complex can act as a molecular sensor for nutrients in specific endocrine tissues, allowing systemic regulation of metabolism, growth, reproduction, behavior, and ageing. Metazoan cells have adapted their growth and proliferation to such indirect energy signals, and tissue/organ growth appears to be mainly controlled by circulating growth/mitotic factors. This chapter focuses on advances made using invertebrate models in which the understanding of the control of organismal growth and physiology has made considerable progress.
Databáze: OpenAIRE