A catalogue of human saliva proteins identified by free flow electrophoresis-based peptide separation and tandem mass spectrometry

Hongwei Xie, Nelson L Rhodus, Robert J. Griffin, John V Carlis, Timothy J Griffin

Research output: Contribution to journalArticle

136 Citations (Scopus)

Abstract

Human saliva has great potential for clinical disease diagnostics. Constructing a comprehensive catalogue of saliva proteins using proteomic approaches is a necessary first step to identifying potential protein biomarkers of disease. However, because of the challenge presented in cataloguing saliva proteins with widely varying abundance, new proteomic approaches are needed. To this end, we used a newly developed approach coupling peptide separation using free flow electrophoresis with linear ion trap tandem mass spectrometry to identify proteins in whole human saliva. We identified 437 proteins with high confidence (false positive rate below 1%), producing the largest catalogue of proteins from a single saliva sample to date and providing new information on the composition and potential diagnostic utility of this fluid. The statistically validated, transparently presented, and annotated dataset provides a model for presenting large scale proteomic data of this type, which should facilitate better dissemination and easier comparisons of proteomic datasets from future studies in saliva.

Original languageEnglish (US)
Pages (from-to)1826-1830
Number of pages5
JournalMolecular and Cellular Proteomics
Volume4
Issue number11
DOIs
StatePublished - Nov 1 2005

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Tandem Mass Spectrometry
Electrophoresis
Saliva
Mass spectrometry
Proteomics
Peptides
Proteins
Cataloging
Biomarkers
Ions
Fluids
Chemical analysis

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A catalogue of human saliva proteins identified by free flow electrophoresis-based peptide separation and tandem mass spectrometry. / Xie, Hongwei; Rhodus, Nelson L; Griffin, Robert J.; Carlis, John V; Griffin, Timothy J.

In: Molecular and Cellular Proteomics, Vol. 4, No. 11, 01.11.2005, p. 1826-1830.

Research output: Contribution to journalArticle

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