TY - GEN
T1 - Inferring the sign of kinase-substrate interactions by combining quantitative phosphoproteomics with a literature-based mammalian kinome network
AU - Hernandez, Marylens
AU - Lachmann, Alexander
AU - Zhao, Shan
AU - Xiao, Kunhong
AU - Ma'ayan, Avi
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Network analysis
KW - Protein phosphorylation
KW - Sign inference
KW - Systems biology
UR - http://www.scopus.com/inward/record.url?scp=77956151907&partnerID=8YFLogxK
U2 - 10.1109/BIBE.2010.75
DO - 10.1109/BIBE.2010.75
M3 - Conference contribution
AN - SCOPUS:77956151907
SN - 9780769540832
T3 - 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010
SP - 180
EP - 184
BT - 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010
T2 - 10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010
Y2 - 31 May 2010 through 3 June 2010
ER -