|
|
||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Molecular & Cellular Proteomics 4:1826-1830, 2005.
© 2005 by The American Society for Biochemistry and Molecular Biology, Inc.


,**
From the Departments of
Biochemistry, Molecular Biology, and Biophysics,
Oral Medicine, Diagnosis, and Radiology, School of Dentistry, ¶ Therapeutic Radiology-Radiation Oncology, and || Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota 55455
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.
![]()
CiteULike
Complore
Connotea
Del.icio.us
Digg
Reddit
Technorati What's this?
This article has been cited by other articles:
![]() |
H. Xie, G. Onsongo, J. Popko, E. P. de Jong, J. Cao, J. V. Carlis, R. J. Griffin, N. L. Rhodus, and T. J. Griffin Proteomics Analysis of Cells in Whole Saliva from Oral Cancer Patients via Value-added Three-dimensional Peptide Fractionation and Tandem Mass Spectrometry Mol. Cell. Proteomics, March 1, 2008; 7(3): 486 - 498. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. A. Grimsrud, M. J. Picklo Sr., T. J. Griffin, and D. A. Bernlohr Carbonylation of Adipose Proteins in Obesity and Insulin Resistance: Identification of Adipocyte Fatty Acid-binding Protein as a Cellular Target of 4-Hydroxynonenal Mol. Cell. Proteomics, April 1, 2007; 6(4): 624 - 637. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Andersch-Bjorkman, K. A. Thomsson, J. M. Holmen Larsson, E. Ekerhovd, and G. C. Hansson Large Scale Identification of Proteins, Mucins, and Their O-Glycosylation in the Endocervical Mucus during the Menstrual Cycle Mol. Cell. Proteomics, April 1, 2007; 6(4): 708 - 716. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. Soo-Quee Koh and G. Choon-Huat Koh The use of salivary biomarkers in occupational and environmental medicine Occup. Environ. Med., March 1, 2007; 64(3): 202 - 210. [Full Text] [PDF] |
||||
![]() |
W.-J. Qian, J. M. Jacobs, T. Liu, D. G. Camp II, and R. D. Smith Advances and Challenges in Liquid Chromatography-Mass Spectrometry-based Proteomics Profiling for Clinical Applications Mol. Cell. Proteomics, October 1, 2006; 5(10): 1727 - 1744. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| All ASBMB Journals | Journal of Biological Chemistry |
| Journal of Lipid Research | ASBMB Today |