Protein Interaction Verification and Functional Annotation by Integrated Analysis of Genome-Scale Data

Assays capable of determining the properties of thousands of genes in parallel present challenges with regard to accurate data processing and functional annotation. Collections of microarray expression data are applied here to assess the quality of different high-throughput protein interaction data...

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Bibliographic Details
Published in:Molecular cell 2002-05, Vol.9 (5), p.1133-1143
Main Authors: Kemmeren, Patrick, van Berkum, Nynke L., Vilo, Jaak, Bijma, Theo, Donders, Rogier, Brazma, Alvis, Holstege, Frank C.P.
Format: Article
Language:English
Subjects:
Animals
Genome
Humans
Oligonucleotide Array Sequence Analysis - statistics & numerical data
Protein Binding - genetics
Proteins - genetics
RNA Splicing
RNA, Messenger - metabolism
Statistics as Topic - methods
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Summary:Assays capable of determining the properties of thousands of genes in parallel present challenges with regard to accurate data processing and functional annotation. Collections of microarray expression data are applied here to assess the quality of different high-throughput protein interaction data sets. Significant differences are found. Confidence in 973 out of 5342 putative two-hybrid interactions from S. cerevisiae is increased. Besides verification, integration of expression and interaction data is employed to provide functional annotation for over 300 previously uncharacterized genes. The robustness of these approaches is demonstrated by experiments that test the in silico predictions made. This study shows how integration improves the utility of different types of functional genomic data and how well this contributes to functional annotation.
ISSN:1097-2765
1097-4164
DOI:10.1016/S1097-2765(02)00531-2