The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry
Open accessAbstract
We present a strategy for the analysis of the yeast phosphoproteome that uses endo-Lys C as the proteolytic enzyme, immobilized metal affinity chromatography for phosphopeptide enrichment, a 90-min nanoflow-HPLC/electrospray-ionization MS/MS experiment for phosphopeptide fractionation and detection, gas phase ion/ion chemistry, electron transfer dissociation for peptide fragmentation, and the Open Mass Spectrometry Search Algorithm for phosphoprotein identification and assignment of phosphorylation sites. From a 30-μg (≈600 pmol) sample of total yeast protein, we identify 1,252 phosphorylation sites on 629 proteins. Identified phosphoproteins have expression levels that range from <50 to 1,200,000 copies per cell and are encoded by genes involved in a wide variety of cellular processes. We identify a consensus site that likely represents a motif for one or more uncharacterized kinases and show that yeast kinases, themselves, contain a disproportionately large number of phosphorylation sites. Detection of a pHis containing peptide from the yeast protein, Cdc10, suggests an unexpected role for histidine phosphorylation in septin biology. From diverse functional genomics data, we show that phosphoproteins have a higher number of interactions than an average protein and interact with each other more than with a random protein. They are also likely to be conserved across large evolutionary distances.
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Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Lethality and centrality in protein networks
Jeong, H., Mason, S. P., Barabási, A.-L., & Oltvai, Z. N. (2001) · Nature · doi:10.1038/35075138 · Cited by 5,287
Functional organization of the yeast proteome by systematic analysis of protein complexes
Gavin, A.-C., Bösche, M., Krause, R., Grandi, P., Marzioch, M., Bauer, A., Schultz, J., Rick, J. M., Michon, A.-M., Cruciat, C.-M., et al. (2002) · Nature · doi:10.1038/415141a · Cited by 4,759
Global analysis of protein expression in yeast
Ghaemmaghami, S., Huh, W.-K., Bower, K., Howson, R. W., Belle, A., Dephoure, N., O'Shea, E. K., & Weissman, J. S. (2003) · Nature · doi:10.1038/nature02046 · Cited by 3,750
Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry
Ho, Y., Gruhler, A., Heilbut, A., Bader, G. D., Moore, L., Adams, S.-L., Millar, A., Taylor, P., Bennett, K., Boutilier, K., et al. (2002) · Nature · doi:10.1038/415180a · Cited by 3,601
From genomics to chemical genomics: new developments in KEGG
Kanehisa, M. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj102 · Cited by 3,120
Peptide and protein sequence analysis by electron transfer dissociation mass spectrometry
Syka, J. E. P., Coon, J. J., Schroeder, M. J., Shabanowitz, J., & Hunt, D. F. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402700101 · Cited by 2,370
Self-citationPhosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae
Ficarro, S. B., McCleland, M. L., Stukenberg, P. T., Burke, D. J., Ross, M. M., Shabanowitz, J., Hunt, D. F., & White, F. M. (2002) · Nature Biotechnology · doi:10.1038/nbt0302-301 · Cited by 1,636
Self-citationScansite 2.0: proteome-wide prediction of cell signaling interactions using short sequence motifs
Obenauer, J. C. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg584 · Cited by 1,596
BIND--The Biomolecular Interaction Network Database
Bader, G. D. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.242 · Cited by 1,560
Cited by
Protein Analysis by Shotgun/Bottom-up Proteomics
Zhang, Y., Fonslow, B. R., Shan, B., Baek, M.-C., & Yates, J. R. (2013) · Chemical Reviews · doi:10.1021/cr3003533 · Cited by 1,491
Proteomics by Mass Spectrometry: Approaches, Advances, and Applications
Yates, J. R., Ruse, C. I., & Nakorchevsky, A. (2009) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-061008-124934 · Cited by 1,078
A Global Protein Kinase and Phosphatase Interaction Network in Yeast
Breitkreutz, A., Choi, H., Sharom, J. R., Boucher, L., Neduva, V., Larsen, B., Lin, Z.-Y., Breitkreutz, B.-J., Stark, C., Liu, G., et al. (2010) · Science · doi:10.1126/science.1176495 · Cited by 683
The SCX/IMAC enrichment approach for global phosphorylation analysis by mass spectrometry
Villén, J., & Gygi, S. P. (2008) · Nature Protocols · doi:10.1038/nprot.2008.150 · Cited by 629
A Multidimensional Chromatography Technology for In-depth Phosphoproteome Analysis
Albuquerque, C. P., Smolka, M. B., Payne, S. H., Bafna, V., Eng, J., & Zhou, H. (2008) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m700468-mcp200 · Cited by 504
Metadata
- Authors
- Chi, A., Huttenhower, C., Geer, L. Y., Coon, J. J., Syka, J. E. P., Bai, D. L., Shabanowitz, J., Burke, D. J., Troyanskaya, O. G., & Hunt, D. F.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-02-13
- Volume
- 104
- Issue
- 7
- Pages
- 2193-2198
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2090806203
- Cited by
- 564
- References
- 34
- FWCI
- 32.39
- Type
- journal article
- Language
- en
- Open access
- green
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- Chi, A., Huttenhower, C., Geer, L. Y., Coon, J. J., Syka, J. E. P., Bai, D. L., Shabanowitz, J., Burke, D. J., Troyanskaya, O. G., & Hunt, D. F. (2007). Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0607084104
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