The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Phosphoproteome Analysis of Drosophila melanogaster Embryos
Open accessAbstract
Protein phosphorylation is a key regulatory event in most cellular processes and development. Mass spectrometry-based proteomics provides a framework for the large-scale identification and characterization of phosphorylation sites. Here, we used a well-established phosphopeptide enrichment and identification strategy including the combination of strong cation exchange chromatography, immobilized metal affinity chromatography, and high-accuracy mass spectrometry instrumentation to study phosphorylation in developing Drosophila embryos. In total, 13,720 different phosphorylation sites were discovered from 2702 proteins with an estimated false-discovery rate (FDR) of 0.63% at the peptide level. Because of the large size of the data set, both novel and known phosphorylation motifs were extracted using the Motif-X algorithm, including those representative of potential ordered phosphorylation events.
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The Genome Sequence of Drosophila melanogaster
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Self-citationRappsilber, J., Ishihama, Y., & Mann, M. (2003) · Analytical Chemistry · doi:10.1021/ac026117i · Cited by 2,644
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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
Beausoleil, S. A., Villén, J., Gerber, S. A., Rush, J., & Gygi, S. P. (2006) · Nature Biotechnology · doi:10.1038/nbt1240 · Cited by 1,577
Self-citationLarsen, M. R., Thingholm, T. E., Jensen, O. N., Roepstorff, P., & Jørgensen, T. J. D. (2005) · Molecular & Cellular Proteomics · doi:10.1074/mcp.t500007-mcp200 · Cited by 1,476
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
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The SCX/IMAC enrichment approach for global phosphorylation analysis by mass spectrometry
Villén, J., & Gygi, S. P. (2008) · Nature Protocols · doi:10.1038/nprot.2008.150 · Cited by 629
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Budanov, A. V., Lee, J. H., & Karin, M. (2010) · EMBO Molecular Medicine · doi:10.1002/emmm.201000097 · Cited by 208
Evolution of phosphoregulation: comparison of phosphorylation patterns across yeast species
Beltrao, P., Trinidad, J. C., Fiedler, D., Roguev, A., Lim, W. A., Shokat, K. M., Burlingame, A. L., & Krogan, N. J. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000134 · Cited by 188
Quantitative Proteomics by Metabolic Labeling of Model Organisms
Gouw, J. W., Krijgsveld, J., & Heck, A. J. R. (2010) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r900001-mcp200 · Cited by 151
Lenoir, M., Ustunel, C., Rajesh, S., Kaur, J., Moreau, D., Gruenberg, J., & Overduin, M. (2018) · Nature Communications · doi:10.1038/s41467-018-03370-1 · Cited by 49
Syred, H. M., Welburn, J., Rappsilber, J., & Ohkura, H. (2013) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.028563 · Cited by 25
Kubíková, J., Ubartaitė, G., Metz, J., & Jeske, M. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2304385120 · Cited by 18
Metadata
- Authors
- Zhai, B., Villén, J., Beausoleil, S. A., Mintseris, J., & Gygi, S. P.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-03-08
- Volume
- 7
- Issue
- 4
- Pages
- 1675-1682
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W2018732798
- Cited by
- 270
- References
- 38
- FWCI
- 12.23
- Type
- journal article
- Language
- en
- Open access
- green
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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.
