Project description:To understand the role of areca nut and TGF-β induced gene expression changes in fibroblasts and its contibution in the manifestation of Oral submucous fibrosis, we studied gene expression profile in primary human gingival fibroblast (hGF) cells following treatment with areca nut, TGF-β and both together. Control Vs Areca nut 5 µg/ml water extract (5H) (2), Contro Vs TGF-β (2), Control Vs Areca nut (5 µg/ml) and TGF-β (5 ng/ml) (5H+T) (2). (2)- Biological duplicates.
Project description:To understand the role of areca nut and TGF-β induced gene expression changes in fibroblasts and its contibution in the manifestation of Oral submucous fibrosis, we studied gene expression profile in primary human gingival fibroblast (hGF) cells following treatment with areca nut, TGF-β and both together.
Project description:To understand the role of areca nut constituents in manifestation of Oral submucous fibrosis, we studied gene expression profile in epithelial cells following areca nut water extract treatment. A comaprison with TGF-beta induced gene expression changes were performed as epithelial cells were predicted to be source of TGF-beta.
Project description:To understand the role of areca nut constituents in manifestation of Oral submucous fibrosis, we studied gene expression profile in epithelial cells following areca nut water extract treatment. A comaprison with TGF-beta induced gene expression changes were performed as epithelial cells were predicted to be source of TGF-beta. Control Vs Areca nut 5 ug/ml water extract (5H) (2), Contro Vs TGF-beta (2), Control Vs ALK5 (TbetaRI inhibitor) (2), Control Vs 5H + ALK5 inhibitor (2). (2)- Biological duplicates.
Project description:Areca nut(Areca catechu L.) is commonly consumed as a chewing food in the Asian region. However, the investigations into the components of areca nut are limited. In this study, we have developed an approach that combines mass spectrometry with feature-based molecular network to explore the chemical characteristics of the areca nut. In comparison to the conventional method, this technique demonstrates a superior capability in annotating unknown compounds present in areca nut. We annotated a total of 52 compounds, including one potential previously unreported alkaloids, one carbohydrate, and one phenol and confirmed the presence of 6 of them by comparing with commercial standards. The validated method was used to evaluate chemical features of areca nut at different growth stages, annotating 25 compounds as potential biomarkers for distinguishing areca nut growth stages. Therefore, this approach offers a rapid and accurate method for the component analysis of areca nut.
Project description:Chewing betel nut is an important risk factor for the carcinogenesis of tongue squamous cell carcinoma (TSCC), but the mechanism is still unknown.To screen the lncRNAs associated with betel nut chewing-induced TSCC and identify potential biomarkers for the TSCC, we collected 5 pairs of TSCC and paracancerous tissues and monitored the resultant lncRNA and mRNA expression profiles using an lncRNA microarray. All 5 patients have a history of areca nut chewing.
Project description:Areca nut(Areca catechu L.) is commonly consumed as a chewing food in the Asian region. However, the investigations into the components of areca nut are limited. In this study, we have developed an approach that combines mass spectrometry with feature-based molecular network to explore the chemical characteristics of the areca nut. In comparison to the conventional method, this technique demonstrates a superior capability in annotating unknown compounds present in areca nut. We annotated a total of 52 compounds, including one potential previously unreported alkaloids, one carbohydrate, and one phenol and confirmed the presence of 6 of them by comparing with commercial standards. The validated method was used to evaluate chemical features of areca nut at different growth stages, annotating 25 compounds as potential biomarkers for distinguishing areca nut growth stages. Therefore, this approach offers a rapid and accurate method for the component analysis of areca nut.
