The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Large-Scale Identification and Evolution Indexing of Tyrosine Phosphorylation Sites from Murine Brain
Abstract
Metazoans employ reversible tyrosine phosphorylation to regulate innumerable biological processes. Thus, the large-scale identification of tyrosine phosphorylation sites from primary tissues is an essential step toward a molecular systems understanding of dynamic regulation in vivo. The relative paucity of phosphotyrosine has greatly limited its identification in large-scale phosphoproteomic experiments. However, using antiphosphotyrosine peptide immunoprecipitations, we report the largest study to date of tyrosine phosphorylation sites from primary tissue, identifying 414 unique tyrosine phosphorylation sites from murine brain. To measure the conservation of phosphorylated tyrosines and their surrounding residues, we constructed a computational pipeline and identified patterns of conservation within the signature of phosphotyrosine.
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
Elias, J. E., & Gygi, S. P. (2007) · Nature Methods · doi:10.1038/nmeth1019 · Cited by 3,925
Self-citationBeausoleil, S. A., Villén, J., Gerber, S. A., Rush, J., & Gygi, S. P. (2006) · Nature Biotechnology · doi:10.1038/nbt1240 · Cited by 1,577
Self-citationLarge-scale phosphorylation analysis of mouse liver
Villén, J., Beausoleil, S. A., Gerber, S. A., & Gygi, S. P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609836104 · Cited by 730
Self-citationThe evolution of signalling pathways in animal development
Pires-daSilva, A., & Sommer, R. J. (2003) · Nature Reviews Genetics · doi:10.1038/nrg977 · Cited by 466
A universal trend of amino acid gain and loss in protein evolution
Jordan, I. K., Kondrashov, F. A., Adzhubei, I. A., Wolf, Y. I., Koonin, E. V., Kondrashov, A. S., & Sunyaev, S. (2005) · Nature · doi:10.1038/nature03306 · Cited by 297
Self-citationA receptor tyrosine kinase from choanoflagellates: Molecular insights into early animal evolution
King, N., & Carroll, S. B. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.261477698 · Cited by 234
Co-evolution of transcriptional and post-translational cell-cycle regulation
Jensen, L. J., Jensen, T. S., de Lichtenberg, U., Brunak, S., & Bork, P. (2006) · Nature · doi:10.1038/nature05186 · Cited by 184
Cited by
Glutamate Receptor Ion Channels: Structure, Regulation, and Function
Traynelis, S. F., Wollmuth, L. P., McBain, C. J., Menniti, F. S., Vance, K. M., Ogden, K. K., Hansen, K. B., Yuan, H., Myers, S. J., & Dingledine, R. (2010) · Pharmacological Reviews · doi:10.1124/pr.109.002451 · Cited by 3,568
Protein Analysis by Shotgun/Bottom-up Proteomics
Zhang, Y., Fonslow, B. R., Shan, B., Baek, M.-C., & Yates, J. R. (2013) · Chemical Reviews · doi:10.1021/cr3003533 · Cited by 1,491
Toward a comprehensive characterization of a human cancer cell phosphoproteome
Zhou, H., Di Palma, S., Preisinger, C., Peng, M., Polat, A. N., Heck, A. J. R., & Mohammed, S. (2013) · Journal of Proteome Research · doi:10.1021/pr300630k · Cited by 438
Quantitative Proteomic Analysis of Histone Modifications
Huang, H., Lin, S., Garcia, B. A., & Zhao, Y. (2015) · Chemical Reviews · doi:10.1021/cr500491u · Cited by 370
Lechtreck, K.-F., Johnson, E. C., Sakai, T., Cochran, D., Ballif, B. A., Rush, J., Pazour, G. J., Ikebe, M., & Witman, G. B. (2009) · Journal of Cell Biology · doi:10.1083/jcb.200909183 · Cited by 347
Self-citation
Metadata
- Authors
- Ballif, B. A., Carey, G. R., Sunyaev, S. R., & Gygi, S. P.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-11-23
- Volume
- 7
- Issue
- 1
- Pages
- 311-318
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W2019592149
- Cited by
- 167
- References
- 7
- FWCI
- 5.08
- 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: Large-Scale Identification and Evolution Indexing of Tyrosine Phosphorylation Sites from Murine Brain. https://app.cochat.ai/papers/10.1021/pr0701254
- The paper
- Ballif, B. A., Carey, G. R., Sunyaev, S. R., & Gygi, S. P. (2008). Large-Scale Identification and Evolution Indexing of Tyrosine Phosphorylation Sites from Murine Brain. Journal of Proteome Research. https://doi.org/10.1021/pr0701254
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.
