Construction and characterization of the Korean whole saliva proteome to determine ethnic differences in human saliva proteome
نویسندگان
چکیده
As the first step to discover protein disease biomarkers from saliva, global analyses of the saliva proteome have been carried out since the early 2000s, and more than 3,000 proteins have been identified in human saliva. Recently, ethnic differences in the human plasma proteome have been reported, but such corresponding studies on human saliva in this aspect have not been previously reported. Thus, here, in order to determine ethnic differences in the human saliva proteome, a Korean whole saliva (WS) proteome catalogue indexing 480 proteins was built and characterized through nLC-Q-IMS-TOF analyses of WS samples collected from eleven healthy South Korean male adult volunteers for the first time. Identification of 226 distinct Korean WS proteins, not observed in the integrated human saliva protein dataset, and significant gene ontology distribution differences in the Korean WS proteome compared to the integrated human saliva proteome strongly support ethnic differences in the human saliva proteome. Additionally, the potential value of ethnicity-specific human saliva proteins as biomarkers for diseases highly prevalent in that ethnic group was confirmed by finding 35 distinct Korean WS proteins likely to be associated with the top 10 deadliest diseases in South Korea. Finally, the present Korean WS protein list can serve as the first level reference for future proteomic studies including disease biomarker studies on Korean saliva.
منابع مشابه
The proteomic profile of whole and glandular saliva in healthy pain-free subjects
Determination of the variability in the salivary proteome is a prerequisite for the development of saliva as a diagnostic and prognostic tool in particular physiological states. In this context, it is important that technical variability induced by sample collection and processing is kept at minimum to be able to reproducibly assess variability in states of health and disease. In the current st...
متن کاملShared and unique proteins in human, mouse and rat saliva proteomes: Footprints of functional adaptation
The overall goal of our study was to compare the proteins found in the saliva proteomes of three mammals: human, mouse and rat. Our first objective was to compare two human proteomes with very different analysis depths. The 89 shared proteins in this comparison apparently represent a core of highly-expressed human salivary proteins. Of the proteins unique to each proteome, one-half to 2/3 lack ...
متن کاملProteome data of whole saliva which are associated with development of oral mucositis in head and neck cancer patients undergoing radiotherapy
Saliva as major human body fluid may act as an indicator of oral disease status. Oral mucositis is a common and often treatment-limiting side effect of radiotherapy for head and neck cancer patients. In this dataset, we provide the complete proteome dataset (raw and search files) of the patients at baseline of radiotherapy treatment in patients undergoing radiotherapy analyzed by nano liquid ch...
متن کاملAnalysis of the Human Salivary Peptidome by Differential Peptide Display and LC-MS/MS Overview Sequencing
In recent years interest in the characterization of the human salivary proteome has increased in order to explore its diagnostic potential. Major constituents of human saliva are highly polymorphic proteins that may have biological roles in oral lubrication and protection, e.g. proline-rich proteins (PRPs), statherins, histatins and cystatins. Interestingly, many of theses proteins are rapidly ...
متن کاملComparative proteomic analysis of the influence of gender and acid stimulation on normal human saliva using LC/MS/MS.
PURPOSE Human saliva is an important source for disease biomarker discovery. This study is to investigate the influence of gender and acid stimulation on the normal human salivary proteome. EXPERIMENTAL DESIGN Unstimulated and acid-stimulated saliva samples from 5 males and 5 females were labeled with 4-plex iTRAQ and analyzed by 2-DLC MS/MS. By bioinformatics analysis the gender and acid sti...
متن کامل