Author
Listed:
- Sina Ghaemmaghami
(University of California–San Francisco
University of California–San Francisco)
- Won-Ki Huh
(University of California–San Francisco
Biochemistry & Biophysics, University of California–San Francisco)
- Kiowa Bower
(University of California–San Francisco
University of California–San Francisco)
- Russell W. Howson
(University of California–San Francisco
Biochemistry & Biophysics, University of California–San Francisco)
- Archana Belle
(University of California–San Francisco
Biochemistry & Biophysics, University of California–San Francisco)
- Noah Dephoure
(University of California–San Francisco
Biochemistry & Biophysics, University of California–San Francisco)
- Erin K. O'Shea
(University of California–San Francisco
Biochemistry & Biophysics, University of California–San Francisco)
- Jonathan S. Weissman
(University of California–San Francisco
University of California–San Francisco)
Abstract
The availability of complete genomic sequences and technologies that allow comprehensive analysis of global expression profiles of messenger RNA1,2,3 have greatly expanded our ability to monitor the internal state of a cell. Yet biological systems ultimately need to be explained in terms of the activity, regulation and modification of proteins—and the ubiquitous occurrence of post-transcriptional regulation makes mRNA an imperfect proxy for such information. To facilitate global protein analyses, we have created a Saccharomyces cerevisiae fusion library where each open reading frame is tagged with a high-affinity epitope and expressed from its natural chromosomal location. Through immunodetection of the common tag, we obtain a census of proteins expressed during log-phase growth and measurements of their absolute levels. We find that about 80% of the proteome is expressed during normal growth conditions, and, using additional sequence information, we systematically identify misannotated genes. The abundance of proteins ranges from fewer than 50 to more than 106 molecules per cell. Many of these molecules, including essential proteins and most transcription factors, are present at levels that are not readily detectable by other proteomic techniques nor predictable by mRNA levels or codon bias measurements.
Suggested Citation
Sina Ghaemmaghami & Won-Ki Huh & Kiowa Bower & Russell W. Howson & Archana Belle & Noah Dephoure & Erin K. O'Shea & Jonathan S. Weissman, 2003.
"Global analysis of protein expression in yeast,"
Nature, Nature, vol. 425(6959), pages 737-741, October.
Handle:
RePEc:nat:nature:v:425:y:2003:i:6959:d:10.1038_nature02046
DOI: 10.1038/nature02046
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