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Identification of human whole saliva protein components using proteomics

Vitorino, Rui, Lobo, Maria João C., Ferrer‐Correira, António J., Dubin, Joshua R., Tomer, Kenneth B., Domingues, Pedro M., Amado, Francisco M. L.·2004·PROTEOMICS

Abstract

The determination of salivary biomarkers as a means of monitoring general health and for the early diagnosis of disease is of increasing interest in clinical research. Based on the linkage between salivary proteins and systemic diseases, the aim of this work was the identification of saliva proteins using proteomics. Salivary proteins were separated using two‐dimensional (2‐D) gel electrophoresis over a pH range between 3–10, digested, and then analyzed by matrix assisted laser desorption/ionization‐time of flight (MALDI‐TOF)‐TOF mass spectrometry (MS) and tandem mass spectrometry (MS/MS). Proteins were identified using automated MS and MS/MS data acquisition. The resulting data were searched against a protein database using an internal Mascot search routine. Ninety spots give identifications with high statistical reliability. Of the identified proteins, 11 were separated and identified in saliva for the first time using proteomics tools. Moreover, three proteins that have not been previously identified in saliva, PLUNC, cystatin A, and cystatin B were identified.

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Metadata

Authors
Vitorino, R., Lobo, M. J. C., Ferrer‐Correira, A. J., Dubin, J. R., Tomer, K. B., Domingues, P. M., & Amado, F. M. L.
Venue
PROTEOMICS
Publisher
Wiley
Published
2004-03-23
Volume
4
Issue
4
Pages
1109-1115
ISSN
  • 1615-9853 (ISSN-L)
  • 1615-9861
OpenAlex
W2006290622
Cited by
295
References
2
FWCI
11.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Identification of human whole saliva protein components using proteomics. https://app.cochat.ai/papers/10.1002/pmic.200300638
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Vitorino, R., Lobo, M. J. C., Ferrer‐Correira, A. J., Dubin, J. R., Tomer, K. B., Domingues, P. M., & Amado, F. M. L. (2004). Identification of human whole saliva protein components using proteomics. PROTEOMICS. https://doi.org/10.1002/pmic.200300638

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