The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Global and Site-Specific Quantitative Phosphoproteomics: Principles and Applications
Abstract
Protein phosphorylation is a key posttranslational modification, which reversibly regulates almost all processes in the living cell. Deregulated signaling is a hallmark of cancer and other diseases, and protein kinases are prominent drug targets. Phosphorylation events are commonly probed in a targeted manner by phosphorylation-specific antibodies. In contrast, advances in proteomics technology, including phosphopeptide enrichment, high-accuracy mass spectrometry, and associated bioinformatics now make it possible to analyze entire phosphoproteomes. Quantitative methods can assess the relative change in phosphorylation for several thousand sites in a single experiment. Here we review enrichment strategies and methods for mass spectrometric fragmentation and analysis of phosphopeptides. We also describe different quantitative methods and their application to problems in cell signaling and drug target discovery. Emerging phosphoproteomics technologies are becoming more comprehensive, robust, and generically applicable to a wide range of questions, including areas outside traditional eukaryotic cell signaling such as Ser/Thr/Tyr signaling in bacteria.
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
The protein kinase complement of the human genome
Manning, G., Whyte, D. B., Martinez, R., Hunter, T., & Sudarsanam, S. (2002) · Science · doi:10.1126/science.1075762 · Cited by 8,145
Cell Signaling by Receptor Tyrosine Kinases
Lemmon, M. A., & Schlessinger, J. (2010) · Cell · doi:10.1016/j.cell.2010.06.011 · Cited by 7,929
Mass spectrometry-based proteomics
Aebersold, R., & Mann, M. (2003) · Nature · doi:10.1038/nature01511 · Cited by 6,955
Self-citationOng, S.-E., Blagoev, B., Kratchmarova, I., Kristensen, D. B., Steen, H., Pandey, A., & Mann, M. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m200025-mcp200 · Cited by 5,574
Self-citationQuantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683
Ross, P. L., Huang, Y. N., Marchese, J. N., Williamson, B., Parker, K., Hattan, S., Khainovski, N., Pillai, S., Dey, S., Daniels, S., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m400129-mcp200 · Cited by 4,401
Cell Signaling by Receptor Tyrosine Kinases
Schlessinger, J. (2000) · Cell · doi:10.1016/s0092-8674(00)00114-8 · Cited by 3,774
Global, In Vivo, and Site-Specific Phosphorylation Dynamics in Signaling Networks
Olsen, J. V., Blagoev, B., Gnad, F., Macek, B., Kumar, C., Mortensen, P., & Mann, M. (2006) · Cell · doi:10.1016/j.cell.2006.09.026 · Cited by 3,499
Self-citationATM and ATR Substrate Analysis Reveals Extensive Protein Networks Responsive to DNA Damage
Matsuoka, S., Ballif, B. A., Smogorzewska, A., McDonald, E. R., Hurov, K. E., Luo, J., Bakalarski, C. E., Zhao, Z., Solimini, N., Lerenthal, Y., et al. (2007) · Science · doi:10.1126/science.1140321 · Cited by 3,075
Protein kinases and phosphatases: The Yin and Yang of protein phosphorylation and signaling
Hunter, T. (1995) · Cell · doi:10.1016/0092-8674(95)90405-0 · Cited by 2,950
Cited by
Bowers, E. M., Yan, G., Mukherjee, C., Orry, A., Wang, L., Holbert, M. A., Crump, N. T., Hazzalin, C. A., Liszczak, G., Yuan, H., et al. (2010) · Chemistry & Biology · doi:10.1016/j.chembiol.2010.03.006 · Cited by 666
Immunoaffinity Enrichment and Mass Spectrometry Analysis of Protein Methylation
Guo, A., Gu, H., Zhou, J., Mulhern, D., Wang, Y., Lee, K. A., Yang, V., Aguiar, M., Kornhauser, J., Jia, X., et al. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o113.027870 · Cited by 474
Rigbolt, K. T. G., Prokhorova, T. A., Akimov, V., Henningsen, J., Johansen, P. T., Kratchmarova, I., Kassem, M., Mann, M., Olsen, J. V., & Blagoev, B. (2011) · Science Signaling · doi:10.1126/scisignal.2001570 · Cited by 451
Self-citationQuantitative maps of protein phosphorylation sites across 14 different rat organs and tissues
Lundby, A., Secher, A., Lage, K., Nordsborg, N. B., Dmytriyev, A., Lundby, C., & Olsen, J. V. (2012) · Nature Communications · doi:10.1038/ncomms1871 · Cited by 343
Self-citationGundry, R. L., White, M. Y., Murray, C. I., Kane, L. A., Fu, Q., Stanley, B. A., & Van Eyk, J. E. (2010) · Current Protocols in Molecular Biology · doi:10.1002/0471142727.mb1025s88 · Cited by 306
Metadata
- Authors
- Macek, B., Mann, M., & Olsen, J. V.
- Venue
- Annual Review of Pharmacology and Toxicology
- Publisher
- Annual Reviews
- Published
- 2009-02-01
- Volume
- 49
- Issue
- 1
- Pages
- 199-221
- ISSN
- 0362-1642 (ISSN-L)
- 1545-4304
- OpenAlex
- W2133500918
- Cited by
- 386
- References
- 85
- FWCI
- 2.06
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global and Site-Specific Quantitative Phosphoproteomics: Principles and Applications. https://app.cochat.ai/papers/10.1146/annurev.pharmtox.011008.145606
- The paper
- Macek, B., Mann, M., & Olsen, J. V. (2009). Global and Site-Specific Quantitative Phosphoproteomics: Principles and Applications. Annual Review of Pharmacology and Toxicology. https://doi.org/10.1146/annurev.pharmtox.011008.145606
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.