Project description:Scutellaria baicalensis Georgi, a perennial herb, is an important medicinal plant that possesses broad pharmacological actions and contains flavonoids with good bioactivities such as anti-inflammation, anti-bacteria and anti-tumor. However, little is known on the molecular processes responsible for the medical properties of this species, owing to the absence of genomic resources such as available sequences of key enzyme genes in biosynthetic pathways. In this study, the RNA sequencing data of S. baicalensis were first generated and used for transcriptome analysis.
Project description:This study was designed to measure expressional profile induced by temporal treatment with Scutellaria baicalensis in HepG2 cells. Time-dependent expression of genes by treatment of Scutellaria baicalensis was measured on HepG2 cells. Total RNA was isolated and was subject to single channnel microarray.
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.
