The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Multidimensional Electrospray MS-Based Approach to Phosphopeptide Mapping
Abstract
A new, multidimensional electrospray MS-based strategy for phosphopeptide mapping is described which eliminates the need to radiolabel protein with 32P or 33P. The approach utilizes two orthogonal MS scanning techniques, both of which are based on the production of phosphopeptide-specific marker ions at m/z 63 and/or 79 in the negative ion mode. These scan methods are combined with liquid chromatography-electrospray mass spectrometry and nanoelectrospray MS/MS to selectively detect and identify phosphopeptides in complex proteolytic digests. Low-abundance, low-stoichiometry phosphorylation sites can be selectively determined in the presence of an excess of nonphosphorylated peptides, even in cases where the signal from the phosphopeptide is indistinguishable from background in the conventional MS scan. The strategy, which has been developed and refined in our laboratory over the past few years, is particularly well suited to phosphoproteins that are phosphorylated to varying degrees of stoichiometry on multiple sites. Sensitivity and selectivity of the method are demonstrated here using model peptides and a commercially available phosphoprotein standard. In addition, the strategy is illustrated by the complete in vitro and in vivo phosphopeptide mapping of Sic1p, a regulator of the G1/S transition in budding yeast.
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
Methylation of a CTCF-dependent boundary controls imprinted expression of the Igf2 gene
Bell, A. C., & Felsenfeld, G. (2000) · Nature · doi:10.1038/35013100 · Cited by 1,746
Cited by
Phosphoproteome 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
Large-scale characterization of HeLa cell nuclear phosphoproteins
Beausoleil, S. A., Jedrychowski, M., Schwartz, D., Elias, J. E., Villén, J., Li, J., Cohn, M. A., Cantley, L. C., & Gygi, S. P. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0404720101 · Cited by 1,375
Multisite phosphorylation of a CDK inhibitor sets a threshold for the onset of DNA replication
Nash, P., Tang, X., Orlicky, S., Chen, Q., Gertler, F. B., Mendenhall, M. D., Sicheri, F., Pawson, T., & Tyers, M. (2001) · Nature · doi:10.1038/35107009 · Cited by 759
Shotgun identification of protein modifications from protein complexes and lens tissue
MacCoss, M. J., McDonald, W. H., Saraf, A., Sadygov, R., Clark, J. M., Tasto, J. J., Gould, K. L., Wolters, D., Washburn, M., Weiss, A., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122231399 · Cited by 593
Sugiyama, N., Masuda, T., Shinoda, K., Nakamura, A., Tomita, M., & Ishihama, Y. (2007) · Molecular & Cellular Proteomics · doi:10.1074/mcp.t600060-mcp200 · Cited by 435
Metadata
- Authors
- Annan, R. S., Huddleston, M. J., Verma, R., Deshaies, R. J., & Carr, S. A.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-12-29
- Volume
- 73
- Issue
- 3
- Pages
- 393-404
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2095300571
- Cited by
- 165
- References
- 1
- FWCI
- 9.65
- 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.