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DTORC gene profiling

ABSTRACT: In fasted mammals, glucose homeostasis is maintained through activation of the cAMP responsive CREB coactivator TORC2, which stimulates the gluconeogenic program in concert with the forkhead transcription factor FOXO1. Here we show that starvation also triggers TORC activation in Drosophila, where it maintains energy balance by promoting the expression of CREB target genes in the brain. TORC mutant flies have reduced glycogen and lipid stores, and they are sensitive to starvation as well as oxidative stress. Neuronal TORC expression rescued starvation and oxidative stress sensitivity as well as CREB target gene expression in TORC mutants. During refeeding, increases in insulin signaling inhibited TORC activity in wild type flies by stimulating the Salt Inducible Kinase 2 (SIK2)-mediated phosphorylation and subsequent degradation of TORC. Depletion of neuronal SIK2 increased TORC activity and enhanced resistance to starvation and oxidative stress in adult flies. As disruption of insulin signaling, either by ablation of insulin-producing cells (IPCs) or by mutation of the insulin receptor adaptor gene chico, also increased TORC activity, our results illustrate the importance of an insulin-regulated pathway in brain that promotes energy balance in Drosophila. Keywords: Fasting-induced gene expression

ORGANISM(S): Drosophila melanogaster

PROVIDER: GSE10546 | GEO | 2008/07/04

SECONDARY ACCESSION(S): PRJNA107909

REPOSITORIES: GEO

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Project description:Smith2013 - Regulation of Insulin Signalling by Oxidative Stress The model describes insulin signalling (in rodent adipocytes), which includes in addition to the core pathway, the transcriptional feedback through the Forkhead box type O (FOXO) transcription factor and interaction with oxidative stress. This model is described in the article: Computational modelling of the regulation of Insulin signalling by oxidative stress. Smith GR, Shanley DP. BMC Syst Biol. 2013 May 24;7:41. Abstract: BACKGROUND: Existing models of insulin signalling focus on short term dynamics, rather than the longer term dynamics necessary to understand many physiologically relevant behaviours. We have developed a model of insulin signalling in rodent adipocytes that includes both transcriptional feedback through the Forkhead box type O (FOXO) transcription factor, and interaction with oxidative stress, in addition to the core pathway. In the model Reactive Oxygen Species are both generated endogenously and can be applied externally. They regulate signalling though inhibition of phosphatases and induction of the activity of Stress Activated Protein Kinases, which themselves modulate feedbacks to insulin signalling and FOXO. RESULTS: Insulin and oxidative stress combined produce a lower degree of activation of insulin signalling than insulin alone. Fasting (nutrient withdrawal) and weak oxidative stress upregulate antioxidant defences while stronger oxidative stress leads to a short term activation of insulin signalling but if prolonged can have other effects including degradation of the insulin receptor substrate (IRS1) and FOXO. At high insulin the protective effect of moderate oxidative stress may disappear. CONCLUSION: Our model is consistent with a wide range of experimental data, some of which is difficult to explain. Oxidative stress can have effects that are both up- and down-regulatory on insulin signalling. Our model therefore shows the complexity of the interaction between the two pathways and highlights the need for such integrated computational models to give insight into the dysregulation of insulin signalling along with more data at the individual level.A complete SBML model file can be downloaded from BIOMODELS (https://www.ebi.ac.uk/biomodels-main) with unique identifier MODEL1212210000.Other files and scripts are available as additional files with this journal article and can be downloaded from https://github.com/graham1034/Smith2012_insulin_signalling. This model is hosted on BioModels Database and identified by: BIOMD0000000474 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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DTORC gene profiling

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