ena-STUDY-Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio)-16-11-2018-03:42:41:285-6
Differential Expression Analysis
Periodontitis is a chronic polymicrobial disease that causes destruction of the periodontium. It may ultimately lead to tooth loss if no treatment is done. There is a need for improved diagnostic tools to curb the disease progression. The current diagnosis that is based on physical examination is time-consuming, low in sensitivity and specificity, and limited as information on current disease status is unavailable. Since the gene expression of the polymicrobial community changes according to the health status of the periodontium, specific genes can be used as biomarkers for diagnosis of the disease. Therefore, the aim of this study is to identify possible periodontitis-specific biomarkers from metatranscriptomics data of healthy and periodontitis patients. The dental plaque RNA extraction was optimized using several methods. The RNA samples were sequenced, and differential expression analysis was performed using R package DESeq2.
Periodontitis is a chronic polymicrobial disease that causes destruction of the periodontium. It may ultimately lead to tooth loss if no treatment is done. There is a need for improved diagnostic tools to curb the disease progression. The current diagnosis that is based on physical examination is time-consuming, low in sensitivity and specificity, and limited as information on current disease status is unavailable. Since the gene expression of the polymicrobial community changes according to the health status of the periodontium, specific genes can be used as biomarkers for diagnosis of the disease. Therefore, the aim of this study is to identify possible periodontitis-specific biomarkers from metatranscriptomics data of healthy and periodontitis patients. The dental plaque RNA extraction was optimized using several methods. The RNA samples were sequenced, and differential expression analysis was performed using R package DESeq2.