The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Large-Scale Phosphorylation Analysis of α-Factor-Arrested Saccharomyces cerevisiae
Abstract
Protein phosphorylation is essential for numerous cellular processes. Large-scale profiling of phosphoproteins continues to enhance the depth and speed at which we understand these processes. The development of effective phosphoprotein and peptide enrichment techniques and improvements to mass spectrometric instrumentation have intensified phosphoproteomic research in recent years, leading to unprecedented achievements. Here, we describe a large-scale phosphorylation analysis of alpha-factor-arrested yeast. Using a multidimensional separation strategy involving preparative SDS-PAGE for prefractionation, in-gel digestion with trypsin, and immobilized metal affinity chromatography (IMAC) enrichment of phosphopeptides, followed by LC-MS/MS analysis employing a hybrid LTQ-Orbitrap mass spectrometer, we were able to catalog a substantial portion of the phosphoproteins present in yeast whole-cell lysate. This analysis yielded the confident identification of 2288 nonredundant phosphorylation sites from 985 proteins. The ambiguity score (Ascore) algorithm was utilized to determine the certainty of site localization for the entire data set. In addition, the size of the data set permitted extraction of known and novel kinase motifs using the Motif-X algorithm. Finally, a large number of members of the pheromone signaling pathway were found as phosphoproteins and are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sharp, P. M., & Li, W.-H. (1987) · Nucleic Acids Research · doi:10.1093/nar/15.3.1281 · Cited by 3,992
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
Beausoleil, S. A., Villén, J., Gerber, S. A., Rush, J., & Gygi, S. P. (2006) · Nature Biotechnology · doi:10.1038/nbt1240 · Cited by 1,577
Self-citationA regulatory hierarchy for cell specialization in yeast
Herskowitz, I. (1989) · Nature · doi:10.1038/342749a0 · Cited by 590
Utilization of Oriented Peptide Libraries to Identify Substrate Motifs Selected by ATM
O'Neill, T., Dwyer, A. J., Ziv, Y., Chan, D. W., Lees-Miller, S. P., Abraham, R. H., Lai, J. H., Hill, D., Shiloh, Y., Cantley, L. C., et al. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.m001002200 · Cited by 189
Cited by
Identification of RIP1 kinase as a specific cellular target of necrostatins
Degterev, A., Hitomi, J., Germscheid, M., Ch'en, I. L., Korkina, O., Teng, X., Abbott, D., Cuny, G. D., Yuan, C., Wagner, G., et al. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.83 · Cited by 2,059
Self-citationThe 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
Self-citationDaub, H., Olsen, J. V., Bairlein, M., Gnad, F., Oppermann, F. S., Körner, R., Greff, Z., Kéri, G., Stemmann, O., & Mann, M. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.07.007 · Cited by 594
Quantitative Phosphoproteomics Reveal mTORC1 Activates de Novo Pyrimidine Synthesis
Robitaille, A. M., Christen, S., Shimobayashi, M., Cornu, M., Fava, L. L., Moes, S., Prescianotto-Baschong, C., Sauer, U., Jenoe, P., & Hall, M. N. (2013) · Science · doi:10.1126/science.1228771 · Cited by 525
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
- Li, X., Gerber, S. A., Rudner, A. D., Beausoleil, S. A., Haas, W., Villén, J., Elias, J. E., & Gygi, S. P.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-01-17
- Volume
- 6
- Issue
- 3
- Pages
- 1190-1197
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W2161651587
- Cited by
- 290
- References
- 5
- FWCI
- 16.27
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
