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Humphrey, Sean J.; Yang, Guang; Yang, Pengyi; Fazakerley, Daniel J.; Stöckli, Jacqueline; Yang, Jean Y.; James, David E.
Cell metabolism, 06/2013, Letnik: 17, Številka: 6Journal Article
A major challenge of the post-genomics era is to define the connectivity of protein phosphorylation networks. Here, we quantitatively delineate the insulin signaling network in adipocytes by high-resolution mass spectrometry-based proteomics. These data reveal the complexity of intracellular protein phosphorylation. We identified 37,248 phosphorylation sites on 5,705 proteins in this single-cell type, with approximately 15% responding to insulin. We integrated these large-scale phosphoproteomics data using a machine learning approach to predict physiological substrates of several diverse insulin-regulated kinases. This led to the identification of an Akt substrate, SIN1, a core component of the mTORC2 complex. The phosphorylation of SIN1 by Akt was found to regulate mTORC2 activity in response to growth factors, revealing topological insights into the Akt/mTOR signaling network. The dynamic phosphoproteome described here contains numerous phosphorylation sites on proteins involved in diverse molecular functions and should serve as a useful functional resource for cell biologists. Display omitted •MS/MS identified >37,000 phosphorylation sites in adipocytes•Insulin regulates the phosphoproteome over a wide temporal timescale•Akt phosphorylates SIN1 on T86 in response to insulin•SIN1 phosphorylation activates a positive feedback loop between Akt and mTORC2
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