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Quantitative proteomic workflow based on mass spectrometry (MS) is recently developed by the researchers to screen for biomarkers in periodontal diseases comprising periodontitis. Periodontitis is known for chronic inflammatory disease characterized by progressive destruction of the tooth-supporting apparatus, yet has a lack of clear pathobiology based on a discrepancy between specified categories and diagnostic vagueness. The objective of this review was to outlined the accessible information related to proteomics studies on periodontitis. The Preferred Reporting Items for Systematical Reviews and Meta-Analysis (PRISMA) statement guides to acquaint proteomic analysis on periodontal diseases was applied. Three databases were used in this study, such as Pubmed, ScienceDirect and Biomed Central from 2009 up to November 2019. Proteomics analysis platforms that used in the studies were outlined. Upregulated and downregulated proteins findings data were found, in which could be suitable as candidate biomarkers for this disease., Cell biology; Proteins; Biochemistry; Molecular Biology; Dentistry; proteomics; Periodontitis; Periodontal disease; Biomarker

A method for quantitative protein profiling has been developed utilising multidimensional liquid phase protein separations in conjunction with stable isotope labelling. This approach combines the advantages of high throughput, automated, reproducible protein separations with accurate protein quantitation performed in the mass spectrometer. Escherichia coli cells were grown in the presence and absence of the DNA methylation inhibitor 5-Azacytidine on 14N and 15N enriched media. Protein separations were performed using ion exchange chromatography in the first dimension and RP capillary chromatography in the second dimension. UV absorbance measurements were used for the initial semiquantitative identification of differentially expressed proteins. Selected peaks from the mixed 15N/14N lysates were used for the accurate quantitation performed in the mass spectrometer using the ratios of the stable isotopes. Using this approach, a number of differentially expressed proteins have been identified. Moreover, this approach overcomes a number of caveats associated with multidimensional liquid phase protein separations, including the presence of multiple proteins present in a single chromatographic peak.

We have identified and characterized the proteome of Sulfolobus solfataricus P2 using multidimensional liquid phase protein separations. Multidimensional liquid phase chromatography was performed using ion exchange chromatography in the first dimension, followed by reverse-phase chromatography using 500 microm i.d. poly(styrene-divinylbenzene) monoliths in the second dimension to separate soluble protein lysates from S. solfataricus. The 2DLC protein separations from S. solfataricus protein lysates enabled the generation of a 2D liquid phase map analogous to the traditional 2DE map. Following separation of the proteins in the second dimension, fractions were collected, digested in solution using trypsin and analyzed using mass spectrometry. These approaches offer significant reductions in labor intensity and the overall time taken to analyze the proteome in comparison to 2DE, taking advantage of automation and fraction collection associated with this approach. Furthermore, following proteomic analysis using 2DLC, the data obtained was compared to previous 2DE and shotgun proteomic studies of a soluble protein lysate from S. solfataricus. In comparison to 2DE, the results show an overall increase in proteome coverage. Moreover, 2DLC showed increased coverage of a number of protein subsets including acidic, basic, low abundance and small molecular weight proteins in comparison to 2DE. In comparison to shotgun studies, an increase in proteome coverage was also observed. Furthermore, 187 unique proteins were identified using 2DLC, demonstrating this methodology as an alternative approach for proteomic studies or in combination with 2DE and shotgun workflows for global proteomics.