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Assigning function to yeast proteins by integration of technologies.

Authors :
Hazbun TR
Malmström L
Anderson S
Graczyk BJ
Fox B
Riffle M
Sundin BA
Aranda JD
McDonald WH
Chiu CH
Snydsman BE
Bradley P
Muller EG
Fields S
Baker D
Yates JR 3rd
Davis TN
Source :
Molecular cell [Mol Cell] 2003 Dec; Vol. 12 (6), pp. 1353-65.
Publication Year :
2003

Abstract

Interpreting genome sequences requires the functional analysis of thousands of predicted proteins, many of which are uncharacterized and without obvious homologs. To assess whether the roles of large sets of uncharacterized genes can be assigned by targeted application of a suite of technologies, we used four complementary protein-based methods to analyze a set of 100 uncharacterized but essential open reading frames (ORFs) of the yeast Saccharomyces cerevisiae. These proteins were subjected to affinity purification and mass spectrometry analysis to identify copurifying proteins, two-hybrid analysis to identify interacting proteins, fluorescence microscopy to localize the proteins, and structure prediction methodology to predict structural domains or identify remote homologies. Integration of the data assigned function to 48 ORFs using at least two of the Gene Ontology (GO) categories of biological process, molecular function, and cellular component; 77 ORFs were annotated by at least one method. This combination of technologies, coupled with annotation using GO, is a powerful approach to classifying genes.

Details

Language :
English
ISSN :
1097-2765
Volume :
12
Issue :
6
Database :
MEDLINE
Journal :
Molecular cell
Publication Type :
Academic Journal
Accession number :
14690591
Full Text :
https://doi.org/10.1016/s1097-2765(03)00476-3