Project description:In this paper, we first report that EC smoking significantly increases the odds of gingival inflammation. Then, we seek to identify and explain the mechanism that underlies the relationship between EC smoking and gingival inflammation via the oral microbiome. We performed mediation analyses to assess if EC smoking affects the oral microbiome, which in turn affects gingival inflammation. For this, we collected saliva and subgingival samples from EC users and non-users and profiled their microbial compositions via 16S rRNA amplicon sequencing. We then performed α-diversity, β-diversity, and taxonomic differential analyses to survey the disparity in microbial composition between EC users and non-users. We found significant increases in α-diversity in EC users and disparities in β-diversity between EC users and non-users.
Project description:Transcriptional profiling was utilized to define the biological pathways of gingival epithelial cells modulated by co-culture with the oral pathogenic Porphyromonas gingivalis and Aggregatibacter (formerly actinobacillus) actinomycetemcomitans. We used microarrays to detail the global programme of gene expression underlying infection and identified distinct classes of up- and down-regulated genes during this process. Experiment Overall Design: Gingival epithelial HIGK cells were sham infected (CTRL) and infected with either the oral pathogenic P. gingivalis (Pg) or A. actinomycetemcomitans (Aa). These samples were hybridized to Affymetrix microarrays. Understanding how host cells have adapted to pathogens, and how barrier cells respond to limit their impact, provides a mechanistic biological basis of microbial disease in the mixed bacterial-human ecosystem of the oral cavity.
Project description:Transcriptional profiling was utilized to define the biological pathways of gingival epithelial cells modulated by co-culture with the oral pathogenic Porphyromonas gingivalis and Aggregatibacter (formerly actinobacillus) actinomycetemcomitans. We used microarrays to detail the global programme of gene expression underlying infection and identified distinct classes of up- and down-regulated genes during this process. Keywords: infection state
Project description:Transcriptional profiling was utilized to define the biological pathways of gingival epithelial cells modulated by co-culture with the oral commensal S. gordonii and the opportunistic commensal F. nucleatum. We used microarrays to detail the global programme of gene expression underlying infection and identified distinct classes of up- and down-regulated genes during this process. Experiment Overall Design: Gingival epithelial HIGK cells were sham infected (CTRL) and infected with either the oral commensal S. gordonii (Sg) or the opportunistic commensal F. nucleatum (Fn). These samples were hybridized to Affymetrix microarrays. Understanding how host cells have adapted to commensals, and how barrier cells respond to limit their impact, provides a mechanistic biological basis of health in the mixed bacterial-human ecosystem of the oral cavity.
Project description:Transcriptional profiling was utilized to define the biological pathways of gingival epithelial cells modulated by co-culture with the oral commensal S. gordonii and the opportunistic commensal F. nucleatum. We used microarrays to detail the global programme of gene expression underlying infection and identified distinct classes of up- and down-regulated genes during this process. Keywords: infection state
Project description:We investigated the association between subgingival bacterial profiles and gene expression patterns in gingival tissues of patients with periodontitis.
Project description:Transcriptional profiling was utilized to define the biological pathways of gingival epithelial cells modulated by mono- and complex co-culture with oral commensal S. gordonii and pathogenic P. gingivalis. We used microarrays to detail the global programme of gene expression underlying infection and identified distinct classes of up- and down-regulated genes during this process. Keywords: infection state
Project description:Gingival fibromatosis (GF) is a rare oral condition characterized by proliferative fibrous overgrowth of both the attached and marginal gingiva, and the interdental papilla. But there were no papers about gene expression of gingival fibromatosis. The aim of this study was to identify the differential expression of genes in GF using cDNA microarray analysis.
Project description:Purpose: The goal of this study is to compare the transcriptomic profiles of healthy individuals and HIV+ patients on therapy Methods: Cells were pelleted from gingival mucosa. mRNA profiles were generated by Next-gen sequencing using the Illumina platform. Results: Comprehensive transcriptome data that showed underlying changes in the oral mucosal immune system of HIV+ patients on therapy. The transcriptome data of the pooled healthy controls are presented here. Conclusions: Our study represents the analysis of oral gingival transcriptomes. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biological functional alterations during chronic viral infections such as HIV infection.
Project description:We investigated the association between subgingival bacterial profiles and gene expression patterns in gingival tissues of patients with periodontitis. A total of 120 patients undergoing periodontal surgery contributed with a minimum of two interproximal gingival papillae (range 2-4) from a maxillary posterior. Prior to tissue harvesting, subgingival plaque samples were collected from the mesial and distal aspects of each papilla. Gingival tissue RNA was extracted, reverse-transcribed, labeled, and hybridized with whole-genome microarrays (310 in total)