The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Stable isotope-free relative and absolute quantitation of protein phosphorylation stoichiometry by MS
Open accessAbstract
Qualitative and quantitative information are crucial to a detailed understanding of the function of protein phosphorylation. MS is now becoming a quantitative approach to analyze protein phosphorylation. All methods that have been described either require the elaborate/expensive use of stable isotopes to compare a limited number of samples or do not provide phosphorylation stoichiometries. Here, we present stable isotope-free MS strategies that allow relative and absolute quantitation of phosphorylation stoichiometries. By using the developed methods, we can normalize to robustly account for run-to-run variations and variations in amounts of starting material. This procedure monitors the unmodified proteolytic peptides derived from the protein of interest and identifies peptides that are suitable for normalization purposes. Also, we can determine changes in phosphorylation stoichiometry by monitoring the changes in the normalized ion currents of the phosphopeptide(s) of interest. Absolute phosphorylation stoichiometry are measured by monitoring the ion currents of a phosphopeptide and its unmodified cognate as the signal intensity changes of both peptide species are correlated. The method is applicable to multiply phosphorylated species (for which one more sample with varying phosphorylation stoichiometry than number of phosphorylation sites is required to correct for the differences in the ionization/detection efficiencies of the phosphopeptide, its partially phosphorylated and unphosphorylated cognates). Last, we can quantitate species with ragged ends resulting from incomplete proteolysis and measure phosphorylation stoichiometries of single samples by controlled dephosphorylation. These approaches were validated and subsequently applied to the phosphorylation of the yeast transcription factor Pho4.
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
Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS
Gerber, S. A., Rush, J., Stemman, O., Kirschner, M. W., & Gygi, S. P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0832254100 · Cited by 1,733
Self-citationProteomic characterization of the human centrosome by protein correlation profiling
Andersen, J. S., Wilkinson, C. J., Mayor, T., Mortensen, P., Nigg, E. A., & Mann, M. (2003) · Nature · doi:10.1038/nature02166 · Cited by 1,319
Cited by
Mass spectrometry–based proteomics turns quantitative
Ong, S.-E., & Mann, M. (2005) · Nature Chemical Biology · doi:10.1038/nchembio736 · Cited by 1,572
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
Quantitative, High-Resolution Proteomics for Data-Driven Systems Biology
Cox, J., & Mann, M. (2011) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-061308-093216 · Cited by 685
Interpreting the protein language using proteomics
Jensen, O. N. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1939 · Cited by 502
Petutschnig, E. K., Jones, A. M. E., Serazetdinova, L., Lipka, U., & Lipka, V. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.116657 · Cited by 486
Metadata
- Authors
- Steen, H., Jebanathirajah, J. A., Springer, M., & Kirschner, M. W.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-03
- Volume
- 102
- Issue
- 11
- Pages
- 3948-3953
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2070391349
- Cited by
- 206
- References
- 2
- FWCI
- 9.83
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Stable isotope-free relative and absolute quantitation of protein phosphorylation stoichiometry by MS. https://app.cochat.ai/papers/10.1073/pnas.0409536102
- The paper
- Steen, H., Jebanathirajah, J. A., Springer, M., & Kirschner, M. W. (2005). Stable isotope-free relative and absolute quantitation of protein phosphorylation stoichiometry by MS. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0409536102
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.