title: Human salivary proteome--a resource of potential biomarkers for oral cancer.
abstract: Proteins present in human saliva offer an immense potential for clinical applications. However, exploring salivary proteome is technically challenged due to the presence of amylase and albumin in high abundance. In this study, we used four workflows to analyze human saliva from healthy individuals which involved depletion of abundant proteins using affinity-based separation methods followed by protein or peptide fractionation and high resolution mass spectrometry analysis. We identified a total of 1256 human salivary proteins, 292 of them being reported for the first time. All identifications were verified for any shared proteins/peptides from the salivary microbiome that may conflict with the human protein identifications. On integration of our results with the analyses reported earlier, we arrived at an updated human salivary proteome containing 3449 proteins, 808 of them have been reported as differentially expressed proteins in oral cancer tissues. The secretory nature of 598 of the 808 proteins has also been supported on the basis of the presence of signal sequence, transmembrane domain or association with exosomes. From this subset, we provide a priority list of 139 proteins along with their proteotypic peptides, which may serve as a reference for targeted investigations as secretory markers for clinical applications in oral malignancies. This article is part of a Special Issue entitled: Proteomics in India.
authors.affiliation: Head and Neck Oncology, Mazumdar Shaw Medical Center, Narayana Health, Bangalore 560099, India; Institute of Bioinformatics, International Tech Park, Bangalore 560066, India.
authors.forename: Priya
authors.initials: P
authors.lastname: Sivadasan
authors.affiliation: Institute of Bioinformatics, International Tech Park, Bangalore 560066, India.
authors.forename: Manoj Kumar
authors.initials: MK
authors.lastname: Gupta
authors.affiliation: Institute of Bioinformatics, International Tech Park, Bangalore 560066, India.
authors.forename: Gajanan J
authors.initials: GJ
authors.lastname: Sathe
authors.affiliation: Institute of Bioinformatics, International Tech Park, Bangalore 560066, India.
authors.forename: Lavanya
authors.initials: L
authors.lastname: Balakrishnan
authors.affiliation: Head and Neck Oncology, Mazumdar Shaw Medical Center, Narayana Health, Bangalore 560099, India.
authors.forename: Priyanka
authors.initials: P
authors.lastname: Palit
authors.affiliation: Institute of Bioinformatics, International Tech Park, Bangalore 560066, India.
authors.forename: Harsha
authors.initials: H
authors.lastname: Gowda
authors.affiliation: Head and Neck Oncology, Mazumdar Shaw Medical Center, Narayana Health, Bangalore 560099, India; Mazumdar Shaw Center for Translational Research, Mazumdar Shaw Medical Foundation, Narayana Health, Bangalore 560099, India.
authors.forename: Amritha
authors.initials: A
authors.lastname: Suresh
authors.affiliation: Head and Neck Oncology, Mazumdar Shaw Medical Center, Narayana Health, Bangalore 560099, India; Mazumdar Shaw Center for Translational Research, Mazumdar Shaw Medical Foundation, Narayana Health, Bangalore 560099, India. Electronic address: makuriakose@gmail.com.
authors.forename: Moni Abraham
authors.initials: MA
authors.lastname: Kuriakose
authors.affiliation: Institute of Bioinformatics, International Tech Park, Bangalore 560066, India; Mazumdar Shaw Center for Translational Research, Mazumdar Shaw Medical Foundation, Narayana Health, Bangalore 560099, India. Electronic address: ravisirdeshmukh@gmail.com.
authors.forename: Ravi
authors.initials: R
authors.lastname: Sirdeshmukh
mesh_terms: D000328:Adult; D014408:Biomarkers, Tumor / Q000378:metabolism*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009062:Mouth Neoplasms / Q000378:metabolism*; D009363:Neoplasm Proteins / Q000378:metabolism*; D012471:Salivary Proteins and Peptides / Q000378:metabolism*
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins; D012471:Salivary Proteins and Peptides
keywords: Mass spectrometry; Oral cancer; Proteomics; Saliva; Salivary proteome