DocumentCode
1986996
Title
Initial large-scale exploration of protein-protein interactions in human brain
Author
Chen, Jake Y. ; Sivachenko, Andrey Y. ; Bell, Russell ; Kurschner, Cornelia ; Ota, Irene ; Sahasrabudhe, Sudhir
Author_Institution
Myriad Proteomics, Inc., Salt Lake City, UT, USA
fYear
2003
fDate
11-14 Aug. 2003
Firstpage
229
Lastpage
234
Abstract
Study of protein interaction networks is crucial to post-genomic systems biology. Aided by high-throughput screening technologies, biologists are rapidly accumulating protein-protein interaction data. Using a random yeast two-hybrid (R2H) process, we have performed large-scale yeast two-hybrid searches with approximately fifty thousand random human brain cDNA bait fragments against a human brain cDNA prey fragment library. From these searches, we have identified 13,656 unique protein-protein interaction pairs involving 4,473 distinct known human loci. In this paper, we have performed our initial characterization of the protein interaction network in human brain tissue. We have classified and characterized all identified interactions based on gene ontology (GO) annotation of interacting loci. We have also described the "scale-free" topological structure of the network.
Keywords
DNA; brain; data mining; genetics; microorganisms; molecular biophysics; proteins; R2H process; biologists; gene ontology annotation; high-throughput screening technologies; human brain cDNA prey fragment library; human brain tissue; human loci; large-scale exploration; large-scale yeast two-hybrid searches; post-genomic systems biology; protein interaction network; protein-protein interactions data; random yeast two-hybrid process; scale-free topological structure; Bioinformatics; Cloning; Data analysis; Fungi; Humans; Large-scale systems; Libraries; Proteins; Proteomics; Systems biology;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE
Print_ISBN
0-7695-2000-6
Type
conf
DOI
10.1109/CSB.2003.1227322
Filename
1227322
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