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Integration of protein phosphorylation, acetylation, and methylation data sets to outline lung cancer signaling networks

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Science Signaling  22 May 2018:
Vol. 11, Issue 531, eaaq1087
DOI: 10.1126/scisignal.aaq1087

Multiomics analysis of lung cancer

Various “omics” analyses of cells provide insight into cellular health and behavior. Phosphoproteomic analysis has informed much of our current knowledge of cell signaling networks and facilitated drug development. Less appreciated are the inputs of other posttranslational modifications (PTMs). Grimes et al. integrated genomic, proteomic, phosphoproteomic, acetylomic, and methylomic data from lung cancer cells versus those in normal lung tissue and explored various regulatory patterns. The authors found that many PTMs are exclusive, in that as phosphorylation increased, acetylation decreased; that the drug geldanamycin broadly alters the PTM landscape and, thus, has effects far beyond its target; and that RNA binding proteins appear to be critical effectors of many signaling paths. These networks may inform new drug development for lung cancer patients and exemplify how cell signaling is regulated by far more extensive PTM networks than was previously appreciated.

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