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Transcriptional profiling of ATP-competitive mTOR inhibitors reveals mTORC1 and mTORC2 specific regulatory networks

ABSTRACT: The mammalian target of rapamycin (mTOR) is a central regulator of cell growth and proliferation in response to growth factor and nutrient signaling. Consequently, this kinase is implicated in metabolic diseases including cancer and diabetes so there is great interest in understanding mTOR regulatory networks. mTOR exists in two functionally distinct complexes, mTORC1 and mTORC2, and whereas the natural product rapamycin only inhibits a subset of mTORC1 functions, recently developed ATP-competitive mTOR inhibitors have revealed new roles for both complexes. To examine the complete spectrum of mTOR responsive cellular processes, we compared the transcriptional profiles of mammalian cells treated with rapamycin versus the ATP-competitive inhibitor PP242. Our analysis provides a genome-wide view of the transcriptional outputs of mTOR signaling that are insensitive to rapamycin.

ORGANISM(S): Mus musculus

PROVIDER: GSE27784 | GEO | 2011/03/15

SECONDARY ACCESSION(S): PRJNA138321

REPOSITORIES: GEO

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Project description:DallePezze2012 - TSC-independent mTORC2 regulation This model is described in the article: A dynamic network model of mTOR signaling reveals TSC-independent mTORC2 regulation. Dalle Pezze P, Sonntag AG, Thien A, Prentzell MT, Gödel M, Fischer S, Neumann-Haefelin E, Huber TB, Baumeister R, Shanley DP, Thedieck K. Sci Signal 2012 Mar; 5(217): ra25 Abstract: The kinase mammalian target of rapamycin (mTOR) exists in two multiprotein complexes (mTORC1 and mTORC2) and is a central regulator of growth and metabolism. Insulin activation of mTORC1, mediated by phosphoinositide 3-kinase (PI3K), Akt, and the inhibitory tuberous sclerosis complex 1/2 (TSC1-TSC2), initiates a negative feedback loop that ultimately inhibits PI3K. We present a data-driven dynamic insulin-mTOR network model that integrates the entire core network and used this model to investigate the less well understood mechanisms by which insulin regulates mTORC2. By analyzing the effects of perturbations targeting several levels within the network in silico and experimentally, we found that, in contrast to current hypotheses, the TSC1-TSC2 complex was not a direct or indirect (acting through the negative feedback loop) regulator of mTORC2. Although mTORC2 activation required active PI3K, this was not affected by the negative feedback loop. Therefore, we propose an mTORC2 activation pathway through a PI3K variant that is insensitive to the negative feedback loop that regulates mTORC1. This putative pathway predicts that mTORC2 would be refractory to Akt, which inhibits TSC1-TSC2, and, indeed, we found that mTORC2 was insensitive to constitutive Akt activation in several cell types. Our results suggest that a previously unknown network structure connects mTORC2 to its upstream cues and clarifies which molecular connectors contribute to mTORC2 activation. This model is hosted on BioModels Database and identified by: BIOMD0000000581. 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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Transcriptional profiling of ATP-competitive mTOR inhibitors reveals mTORC1 and mTORC2 specific regulatory networks

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