Literature DB >> 19898684

Systematic comparison of the human saliva and plasma proteomes.

Weihong Yan1, Rolf Apweiler, Brian M Balgley, Pinmanee Boontheung, Jonathan L Bundy, Benjamin J Cargile, Steve Cole, Xueping Fang, Mireya Gonzalez-Begne, Timothy J Griffin, Fred Hagen, Shen Hu, Lawrence E Wolinsky, Cheng S Lee, Daniel Malamud, James E Melvin, Rajasree Menon, Michael Mueller, Renli Qiao, Nelson L Rhodus, Joel R Sevinsky, David States, James L Stephenson, Shawn Than, John R Yates, Weixia Yu, Hongwei Xie, Yongming Xie, Gilbert S Omenn, Joseph A Loo, David T Wong.   

Abstract

The proteome of human salivary fluid has the potential to open new doors for disease biomarker discovery. A recent study to comprehensively identify and catalog the human ductal salivary proteome led to the compilation of 1166 proteins. The protein complexity of both saliva and plasma is large, suggesting that a comparison of these two proteomes will provide valuable insight into their physiological significance and an understanding of the unique and overlapping disease diagnostic potential that each fluid provides. To create a more comprehensive catalog of human salivary proteins, we have first compiled an extensive list of proteins from whole saliva (WS) identified through MS experiments. The WS list is thereafter combined with the proteins identified from the ductal parotid, and submandibular and sublingual (parotid/SMSL) salivas. In parallel, a core dataset of the human plasma proteome with 3020 protein identifications was recently released. A total of 1939 nonredundant salivary proteins were compiled from a total of 19 474 unique peptide sequences identified from whole and ductal salivas; 740 out of the total 1939 salivary proteins were identified in both whole and ductal saliva. A total of 597 of the salivary proteins have been observed in plasma. Gene ontology (GO) analysis showed similarities in the distributions of the saliva and plasma proteomes with regard to cellular localization, biological processes, and molecular function, but revealed differences which may be related to the different physiological functions of saliva and plasma. The comprehensive catalog of the salivary proteome and its comparison to the plasma proteome provides insights useful for future study, such as exploration of potential biomarkers for disease diagnostics.

Entities:  

Year:  2009        PMID: 19898684      PMCID: PMC2773554          DOI: 10.1002/prca.200800140

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  51 in total

1.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Authors:  A Krogh; B Larsson; G von Heijne; E L Sonnhammer
Journal:  J Mol Biol       Date:  2001-01-19       Impact factor: 5.469

2.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

3.  Open mass spectrometry search algorithm.

Authors:  Lewis Y Geer; Sanford P Markey; Jeffrey A Kowalak; Lukas Wagner; Ming Xu; Dawn M Maynard; Xiaoyu Yang; Wenyao Shi; Stephen H Bryant
Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

4.  Trade-off between high sensitivity and increased potential for false positive peptide sequence matches using a two-dimensional linear ion trap for tandem mass spectrometry-based proteomics.

Authors:  Hongwei Xie; Timothy J Griffin
Journal:  J Proteome Res       Date:  2006-04       Impact factor: 4.466

5.  Evaluating preparative isoelectric focusing of complex peptide mixtures for tandem mass spectrometry-based proteomics: a case study in profiling chromatin-enriched subcellular fractions in Saccharomyces cerevisiae.

Authors:  Hongwei Xie; Sricharan Bandhakavi; Timothy J Griffin
Journal:  Anal Chem       Date:  2005-05-15       Impact factor: 6.986

6.  Human plasma N-glycoproteome analysis by immunoaffinity subtraction, hydrazide chemistry, and mass spectrometry.

Authors:  Tao Liu; Wei-Jun Qian; Marina A Gritsenko; David G Camp; Matthew E Monroe; Ronald J Moore; Richard D Smith
Journal:  J Proteome Res       Date:  2005 Nov-Dec       Impact factor: 4.466

7.  Predicting subcellular localization of proteins based on their N-terminal amino acid sequence.

Authors:  O Emanuelsson; H Nielsen; S Brunak; G von Heijne
Journal:  J Mol Biol       Date:  2000-07-21       Impact factor: 5.469

8.  Identification of N-linked glycoproteins in human saliva by glycoprotein capture and mass spectrometry.

Authors:  Prasanna Ramachandran; Pinmannee Boontheung; Yongming Xie; Melissa Sondej; David T Wong; Joseph A Loo
Journal:  J Proteome Res       Date:  2006-06       Impact factor: 4.466

9.  Data management and preliminary data analysis in the pilot phase of the HUPO Plasma Proteome Project.

Authors:  Marcin Adamski; Thomas Blackwell; Rajasree Menon; Lennart Martens; Henning Hermjakob; Chris Taylor; Gilbert S Omenn; David J States
Journal:  Proteomics       Date:  2005-08       Impact factor: 3.984

10.  Challenges in deriving high-confidence protein identifications from data gathered by a HUPO plasma proteome collaborative study.

Authors:  David J States; Gilbert S Omenn; Thomas W Blackwell; Damian Fermin; Jimmy Eng; David W Speicher; Samir M Hanash
Journal:  Nat Biotechnol       Date:  2006-03       Impact factor: 54.908

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  66 in total

1.  Characterization of the human submandibular/sublingual saliva glycoproteome using lectin affinity chromatography coupled to multidimensional protein identification technology.

Authors:  Mireya Gonzalez-Begne; Bingwen Lu; Lujian Liao; Tao Xu; Gurrinder Bedi; James E Melvin; John R Yates
Journal:  J Proteome Res       Date:  2011-10-13       Impact factor: 4.466

Review 2.  Comparative human salivary and plasma proteomes.

Authors:  J A Loo; W Yan; P Ramachandran; D T Wong
Journal:  J Dent Res       Date:  2010-08-25       Impact factor: 6.116

Review 3.  The Proteomics of Saliva in Sjögren's Syndrome.

Authors:  Stergios Katsiougiannis; David T W Wong
Journal:  Rheum Dis Clin North Am       Date:  2016-06-21       Impact factor: 2.670

Review 4.  Saliva as a diagnostic fluid.

Authors:  Daniel Malamud
Journal:  Dent Clin North Am       Date:  2011-01

5.  Scientific frontiers: emerging technologies for salivary diagnostics.

Authors:  B J Baum; J R Yates; S Srivastava; D T W Wong; J E Melvin
Journal:  Adv Dent Res       Date:  2011-10

6.  Minimally Invasive Approach for Diagnosing TMJ Osteoarthritis.

Authors:  B Shoukri; J C Prieto; A Ruellas; M Yatabe; J Sugai; M Styner; H Zhu; C Huang; B Paniagua; S Aronovich; L Ashman; E Benavides; P de Dumast; N T Ribera; C Mirabel; L Michoud; Z Allohaibi; M Ioshida; L Bittencourt; L Fattori; L R Gomes; L Cevidanes
Journal:  J Dent Res       Date:  2019-07-24       Impact factor: 6.116

Review 7.  Metabolic hormones in saliva: origins and functions.

Authors:  S Zolotukhin
Journal:  Oral Dis       Date:  2012-09-21       Impact factor: 3.511

8.  Identification of tetranectin as a potential biomarker for metastatic oral cancer.

Authors:  Martha E Arellano-Garcia; Roger Li; Xiaojun Liu; Yongming Xie; Xiaofei Yan; Joseph A Loo; Shen Hu
Journal:  Int J Mol Sci       Date:  2010-09-02       Impact factor: 5.923

9.  Transcriptional profiling reveals gland-specific differential expression in the three major salivary glands of the adult mouse.

Authors:  Xin Gao; Maria S Oei; Catherine E Ovitt; Murat Sincan; James E Melvin
Journal:  Physiol Genomics       Date:  2018-01-26       Impact factor: 3.107

Review 10.  Salivary diagnostics.

Authors:  J M Lee; E Garon; D T Wong
Journal:  Orthod Craniofac Res       Date:  2009-08       Impact factor: 1.826

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