The global analysis of the biochemical activities of proteins and their modifications is in a nascent stage. In the previous funding period we have developed technologies for producing large numbers of active proteins and displaying them in a high density protein microarray format. A first generation proteome array collection was built and screened for a variety of interactions and activities. In this application we propose to improve the yeast protein chip content and technology and apply it to the study of protein phosphorylation. We will complete the cloning of all yeast ORFS in the versatile GATEWAY cloning system and construct a high quality expression collection that produces the proteins with tags at their carboxy termini. The proteins will be overexpressed and used to construct a comprehensive yeast proteome array. We will attempt to establish quantitative methods for probing protein arrays and compare proteome chip technology with two hybrid and affinity purification methods for detecting protein-protein interactions. The comprehensive array and expression collection will be used to investigate protein phosphorylation on a large scale. The array will be used to identify proteins that interact with protein kinases. An in vitro phosphorylation map will be generated by incubation of each yeast protein kinase with the proteome chip in the presence of 33P-y-ATP. A consensus phosphorylation site will be determined for each kinase, and mass spectrometry will be used to map the in vitro and in vivo sites of phosphorylation on many yeast substrates. A subset of kinase-substrate interactions will be validated in vivo using mutant strains. Information from this study will be combined with public information to generate a phosphorylation map for yeast. The information and reagents from this work will be made available to the entire scientific community. The technology developed and information gathered are expected to be applicable to multicellular organisms.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM062480-08
Application #
7578179
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Edmonds, Charles G
Project Start
2001-03-01
Project End
2010-09-29
Budget Start
2009-01-01
Budget End
2010-09-29
Support Year
8
Fiscal Year
2009
Total Cost
$521,686
Indirect Cost
Name
Yale University
Department
Physiology
Type
Schools of Arts and Sciences
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Li, Xiyan; Snyder, Michael P (2016) Can heavy isotopes increase lifespan? Studies of relative abundance in various organisms reveal chemical perspectives on aging. Bioessays 38:1093-1101
Yang, Grace Xiaolu; Li, Xiyan; Snyder, Michael (2012) Investigating metabolite-protein interactions: an overview of available techniques. Methods 57:459-66
Chen, Rui; Snyder, Michael (2012) Systems biology: personalized medicine for the future? Curr Opin Pharmacol 12:623-8
Li, Xiyan; Snyder, Michael (2011) Analyzing In Vivo Metabolite-Protein Interactions By Large-Scale Systematic Analyses. Curr Protoc Chem Biol 3:181-196
Mok, Janine; Zhu, Xiaowei; Snyder, Michael (2011) Dissecting phosphorylation networks: lessons learned from yeast. Expert Rev Proteomics 8:775-86
Li, Xiyan; Gianoulis, Tara A; Yip, Kevin Y et al. (2010) Extensive in vivo metabolite-protein interactions revealed by large-scale systematic analyses. Cell 143:639-50
Chen, Rui; Snyder, Michael (2010) Yeast proteomics and protein microarrays. J Proteomics 73:2147-57
Mok, Janine; Im, Hogune; Snyder, Michael (2009) Global identification of protein kinase substrates by protein microarray analysis. Nat Protoc 4:1820-7
Hall, David A; Ptacek, Jason; Snyder, Michael (2007) Protein microarray technology. Mech Ageing Dev 128:161-7
Gelperin, Daniel M; White, Michael A; Wilkinson, Martha L et al. (2005) Biochemical and genetic analysis of the yeast proteome with a movable ORF collection. Genes Dev 19:2816-26

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