The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Identification of 491 proteins in the tear fluid proteome reveals a large number of proteases and protease inhibitors
Open accessAbstract
Background: The tear film is a thin layer of fluid that covers the ocular surface and is involved in lubrication and protection of the eye. Little is known about the protein composition of tear fluid but its deregulation is associated with disease states, such as diabetic dry eyes. This makes this body fluid an interesting candidate for in-depth proteomic analysis. Results: In this study, we employ state-of-the-art mass spectrometric identification, using both a hybrid linear ion trap-Fourier transform (LTQ-FT) and a linear ion trap-Orbitrap (LTQ-Orbitrap) mass spectrometer, and high confidence identification by two consecutive stages of peptide fragmentation (MS/MS/MS or MS 3), to characterize the protein content of the tear fluid. Low microliter amounts of tear fluid samples were either pre-fractionated with one-dimensional SDS-PAGE and digested in situ with trypsin, or digested in solution. Five times more proteins were detected after gel electrophoresis compared to in solution digestion (320 versus 63 proteins). Ontology classification revealed that 64 of the identified proteins are proteases or protease inhibitors. Of these, only 24 have previously been described as components of the tear fluid. We also identified 18 anti-oxidant enzymes, which protect the eye from harmful consequences of its exposure to oxygen. Only two proteins with this activity have been previously described in the literature. Conclusion: Interplay between proteases and protease inhibitors, and between oxidative reactions, is an important feature of the ocular environment. Identification of a large set of proteins participating in these reactions may allow discovery of molecular markers of disease conditions of the eye.
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Cites
Mass spectrometry-based proteomics
Aebersold, R., & Mann, M. (2003) · Nature · doi:10.1038/nature01511 · Cited by 6,955
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
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Cited by
Identification and proteomic profiling of exosomes in human cerebrospinal fluid
Street, J. M., Barran, P. E., Mackay, C. L., Weidt, S., Balmforth, C., Walsh, T. S., Chalmers, R. T., Webb, D. J., & Dear, J. W. (2012) · Journal of Translational Medicine · doi:10.1186/1479-5876-10-5 · Cited by 490
In-depth analysis of the human tear proteome
Zhou, L., Zhao, S. Z., Koh, S. K., Chen, L., Vaz, C., Tanavde, V., Li, X. R., & Beuerman, R. W. (2012) · Journal of Proteomics · doi:10.1016/j.jprot.2012.04.053 · Cited by 379
Lam, S. M., Tong, L., Duan, X., Petznick, A., Wenk, M. R., & Shui, G. (2014) · Journal of Lipid Research · doi:10.1194/jlr.m044826 · Cited by 310
Feist, P., & Hummon, A. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms16023537 · Cited by 288
MSQuant, an Open Source Platform for Mass Spectrometry-Based Quantitative Proteomics
Mortensen, P., Gouw, J. W., Olsen, J. V., Ong, S.-E., Rigbolt, K. T. G., Bunkenborg, J., Cox, J., Foster, L. J., Heck, A. J. R., Blagoev, B., et al. (2010) · Journal of Proteome Research · doi:10.1021/pr900721e · Cited by 254
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Metadata
- Authors
- de Souza, G. A., de Godoy, L. M., & Mann, M.
- Venue
- Genome Biology
- Published
- 2006-08-10
- Volume
- 7
- Issue
- 8
- Pages
- R72-R72
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2160797468
- Cited by
- 411
- References
- 2
- FWCI
- 8.28
- Type
- journal article
- Language
- en
- Open access
- gold
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- de Souza, G. A., de Godoy, L. M., & Mann, M. (2006). Identification of 491 proteins in the tear fluid proteome reveals a large number of proteases and protease inhibitors. Genome Biology. https://doi.org/10.1186/gb-2006-7-8-r72
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