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Cited by 1,006

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Accurate quantitation of protein expression and site-specific phosphorylation

Open access
Oda, Y., Huang, K., Cross, F. R., Cowburn, D., Chait, B. T.·1999·Proceedings of the National Academy of Sciences

Abstract

A mass spectrometry-based method is described for simultaneous identification and quantitation of individual proteins and for determining changes in the levels of modifications at specific sites on individual proteins. Accurate quantitation is achieved through the use of whole-cell stable isotope labeling. This approach was applied to the detection of abundance differences of proteins present in wild-type versus mutant cell populations and to the identification of in vivo phosphorylation sites in the PAK-related yeast Ste20 protein kinase that depend specifically on the G1 cyclin Cln2. The present method is general and affords a quantitative description of cellular differences at the level of protein expression and modification, thus providing information that is critical to the understanding of complex biological phenomena.

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Crossref · 10.1073/pnas.96.12.6591

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Metadata

Authors
Oda, Y., Huang, K., Cross, F. R., Cowburn, D., & Chait, B. T.
Venue
Proceedings of the National Academy of Sciences
Published
1999-06-08
Volume
96
Issue
12
Pages
6591-6596
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1975938671
Cited by
1,006
References
1
FWCI
24.10
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Accurate quantitation of protein expression and site-specific phosphorylation. https://app.cochat.ai/papers/10.1073/pnas.96.12.6591
The paper
Oda, Y., Huang, K., Cross, F. R., Cowburn, D., & Chait, B. T. (1999). Accurate quantitation of protein expression and site-specific phosphorylation. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.96.12.6591

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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.