Modularity and hormone sensitivity of the Drosophila melanogaster insulin receptor/target of rapamycin interaction proteome
Name
Glatter-2011-Modularity and hormone sensitivity of the Drosophila melanogaster.pdf
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1.86 MB
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Checksum (MD5)
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Author(s)
Jevtov, Irena
Glatter, Timo
Schittenhelm, Ralf B.
Rinner, Oliver
Roguska, Katarzyna
Wepf, Alexander
Junger, Martin A.
Kohler, Katja
Choi, Hyungwon
Schmidt, Alexander
Date Issued
November 2011
Journal
Molecular Systems Biology
Publisher
Nature Publishing Group
Citation
Glatter, Timo et al. “Modularity and Hormone Sensitivity of the Drosophila Melanogaster Insulin Receptor/target of Rapamycin Interaction Proteome.” Molecular Systems Biology 7 (2011).
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1038/msb.2011.79
