Title :
Inferring the Sign of Kinase-Substrate Interactions by Combining Quantitative Phosphoproteomics with a Literature-Based Mammalian Kinome Network
Author :
Hernandez, Marylens ; Lachmann, Alexander ; Zhao, Shan ; Xiao, Kunhong ; Ma´ayan, Avi
Author_Institution :
Dept. of Pharmacology & Syst. Therapeutics, Mount Sinai Sch. of Med., New York, NY, USA
fDate :
May 31 2010-June 3 2010
Abstract :
Protein phosphorylation is a reversible post-translational modification commonly used by cell signaling networks to transmit information about the extracellular environment into intracellular organelles for the regulation of the activity and sorting of proteins within the cell. For this study we reconstructed a literature-based mammalian kinase-substrate network from several online resources. The interactions within this directed graph network connect kinases to their substrates, through specific phosphosites including kinase-kinase regulatory interactions. However, the “signs” of links, activation or inhibition of the substrate upon phosphorylation, within this network are mostly unknown. Here we show how we can infer the “signs” indirectly using data from quantitative phosphoproteomics experiments applied to mammalian cells combined with the literature-based kinase-substrate network. Our inference method was able to predict the sign for 321 links and 153 phosphosites on 120 kinases, resulting in signed and directed subnetwork of mammalian kinase-kinase interactions. Such an approach can rapidly advance the reconstruction of cell signaling pathways and networks regulating mammalian cells.
Keywords :
biochemistry; biological techniques; cellular biophysics; enzymes; molecular biophysics; proteomics; cell signaling networks; directed graph network; extracellular environment; intracellular organelles; kinase-kinase regulatory interactions; kinase-substrate interactions; literature-based mammalian kinome network; mammalian cells; online resources; phosphoproteomics; phosphosites; protein phosphorylation; reversible post-translational modification; Amino acids; Bioinformatics; Cells (biology); Databases; Fungi; Isotopes; Labeling; Proteins; Throughput; USA Councils; network analysis; protein phosphorylation; sign inference; systems biology;
Conference_Titel :
BioInformatics and BioEngineering (BIBE), 2010 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4244-7494-3
DOI :
10.1109/BIBE.2010.75