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Modularity and hormone sensitivity of the Drosophila melanogaster insulin receptor/target of rapamycin interaction proteome

Modularity and hormone sensitivity of the Drosophila melanogaster insulin receptor/target of rapamycin interaction proteome
Genetic analysis in Drosophila melanogaster has been widely used to identify a system of genes that control cell growth in response to insulin and nutrients. Many of these genes encode components of the insulin receptor/target of rapamycin (InR/TOR) pathway. However, the biochemical context of this regulatory system is still poorly characterized in Drosophila. Here, we present the first quantitative study that systematically characterizes the modularity and hormone sensitivity of the interaction proteome underlying growth control by the dInR/TOR pathway. Applying quantitative affinity purification and mass spectrometry, we identified 97 high confidence protein interactions among 58 network components. In all, 22% of the detected interactions were regulated by insulin affecting membrane proximal as well as intracellular signaling complexes. Systematic functional analysis linked a subset of network components to the control of dTORC1 and dTORC2 activity. Furthermore, our data suggest the presence of three distinct dTOR kinase complexes, including the evolutionary conserved dTTT complex (Drosophila TOR, TELO2, TTI1). Subsequent genetic studies in flies suggest a role for dTTT in controlling cell growth via a dTORC1‐ and dTORC2‐dependent mechanism.
Molecular Systems Biology, 7 (1)
ISSN:1744-4292
- University of Michigan–Flint United States
- Massachusetts Institute of Technology United States
- ETH Zurich Switzerland
- ETH Zurich Switzerland
- Institute for Molecular Systems Biology Switzerland
Medicine (General), Proteome, QH301-705.5, Science, Genetics and Molecular Biology, 1100 General Agricultural and Biological Sciences, InR/TOR pathway, quantitative mass spectrometry, Cell Growth, Article, Mass Spectrometry, Cell Line, R5-920, SX00 SystemsX.ch, 2604 Applied Mathematics, SX15 WingX, 1300 General Biochemistry, Genetics and Molecular Biology, 2400 General Immunology and Microbiology, cell growth; InR/TOR pathway; interaction proteome; quantitative mass spectrometry; signaling, Interaction Proteome, Health Sciences, Animals, Drosophila Proteins, cell growth, Protein Interaction Maps, Cellular and Developmental Biology, Biology (General), InR/TOR Pathway, General Immunology and Microbiology, Applied Mathematics, TOR Serine-Threonine Kinases, Molecular, Signaling, Receptor, Insulin, Drosophila melanogaster, Computational Theory and Mathematics, Quantitative Mass Spectrometry, General Biochemistry, interaction proteome, 570 Life sciences; biology, General Agricultural and Biological Sciences, signaling, Protein Kinases, Information Systems, Signal Transduction, Transcription Factors
Medicine (General), Proteome, QH301-705.5, Science, Genetics and Molecular Biology, 1100 General Agricultural and Biological Sciences, InR/TOR pathway, quantitative mass spectrometry, Cell Growth, Article, Mass Spectrometry, Cell Line, R5-920, SX00 SystemsX.ch, 2604 Applied Mathematics, SX15 WingX, 1300 General Biochemistry, Genetics and Molecular Biology, 2400 General Immunology and Microbiology, cell growth; InR/TOR pathway; interaction proteome; quantitative mass spectrometry; signaling, Interaction Proteome, Health Sciences, Animals, Drosophila Proteins, cell growth, Protein Interaction Maps, Cellular and Developmental Biology, Biology (General), InR/TOR Pathway, General Immunology and Microbiology, Applied Mathematics, TOR Serine-Threonine Kinases, Molecular, Signaling, Receptor, Insulin, Drosophila melanogaster, Computational Theory and Mathematics, Quantitative Mass Spectrometry, General Biochemistry, interaction proteome, 570 Life sciences; biology, General Agricultural and Biological Sciences, signaling, Protein Kinases, Information Systems, Signal Transduction, Transcription Factors
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