Initial Large-scale Exploration of Protein-protein Interactions in Human Brain

Authors:
Jake Y. Chen;Andrey Y. Sivachenko;Russell Bell;Cornelia Kurschner;Irene Ota;Sudhir Sahasrabudhe
Affiliations:
-;-;-;-;-;-
Venue:
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Year:
2003

Citing 1
Cited 2

Genomic data modeling

Information Systems - Special issue: Data management in bioinformatics

Discover True Association Rates in Multi-protein Complex Proteomics Data Sets

CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
Seed-weighted random walk ranking for cancer biomarker prioritisation: a case study in leukaemia

International Journal of Data Mining and Bioinformatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Study of protein interaction networks is crucial topost-genomic systems biology. Aided by high-throughputscreening technologies, biologists arerapidly accumulating protein-protein interaction data.Using a random yeast two-hybrid (R2H) process, wehave performed large-scale yeast two-hybrid searcheswith approximately fifty thousand random humanbrain cDNA bait fragments against a human braincDNA prey fragment library. From these searches, wehave identified 13,656 unique protein-proteininteraction pairs involving 4,473 distinct knownhuman loci. In this paper, we have performed ourinitial characterization of the protein interactionnetwork in human brain tissue. We have classified andcharacterized all identified interactions based onGene Ontology (GO) annotation of interacting loci.We have also described the "scale-free" topologicalstructure of the network.