This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 360
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #309351
Title: Tandem Mass Spectrometry Data Analysis to Map Signaling Pathways and Protein Interaction Network
Author(s): Yan Zhang*+ and Hye Kyong Kweon and Philip Andrews
Companies: University of Michigan and University of Michigan and University of Michigan
Address: 1066 Island Drive Ct, APT 103, Ann Arbor, MI, 48105,
Keywords: phosphorylation ; tandem mass spectrometry ; Baysian network ; cluster ; pathway ; protein-protein interaction network

Phosphorylation is one of the most commonly occurring protein post-transcriptional modifications. Change of phosphorylation level will change the conformation and activity of the protein. Often these phosphorylated proteins are enzymes and/or substrates in signaling pathways of cells, which have been associated with diseases, such as cancers and diabetes. The tandem mass spectrometry (MS/MS) data were generated using SILAC technique, which detected the change of phosphorylation level of the proteins between different samples under different conditions. In our work presented here, Baysian network is implemented with cluster analysis to reveal a protein-protein interaction network including key pathways based on the MS/MS data. We also compare our result with known network in database, e.g. KEGG, and find that out method is realiable.

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