Project description:To study the effect of Radix Paeoniae Rubra decoction on tolerance of Staphylococcus aureus.The effect of Radix Paeoniae Rubra on the resistance of Staphylococcus aureus to oxacillin sodium was studied by millipore dilution method in this experiment.At the same time ,conducted on transcriptome analysis of Staphylococcus aureus related genes in Radix Paeoniae Rubra.And to detect the expression level of related genes of Staphylococcus aureus under the action of Radix Paeoniae Rubra by PCR technology.The tolerance of Staphylococcus aureus was decreased obviously when the concentration of Radix Paeoniae Rubra decoction was above 1mg/ml.The effect of Radix Paeoniae Rubra decoction on the expression of tolerance genes femB,pvL and gluM when the concentration of Radix Paeoniae Rubra decoction was above 4mg/ml.When rhe concentration of Radix Paeoniae Rubra is more than 1mg/ml,it can effectively reduce the resistance of Staphylococcus aureus to oxacillin sodium.The reason may be due to the effect of Radix Paeoniae Rubra on the resistance gene of Staphylococcus aureus.
Project description:Paeoniflorin (PF) isolated from paeony root (Paeoniae radix) has been used as an herbal medicine in East Asis for its anti-allergic, anti-inflammatory, and immunoregulatory effects. PF is known to be a chemical heat shock protein (HSP) inducer. The effects on the gene expression in human lymphoma U937 cells treated with PF were investigated using by an Affymetrix GeneChip system. PF treatment induced Hsp70 expression in U937 cells in a dose- and time-dependent manner as shown in Western blot analysis. When the cells were treated with PF (160 μg/ml; 30 min), 41 up-regulated and 23 down-regulated genes were identified. Experiment Overall Design: U937 cells, a human lymphoma cell line, were treated with paeoniflorin (0.16 mg/ml; 30 min) and followed by incubation for 0, 3, and 6 h at 37°C. Non-treated cells were served as control. Total RNA samples were prepared from the cells. Gene expression was analyzed by an Affymetrix GeneChip® system with Human Expression Array U133A which was spotted with 22,283 probe sets. Sample preparation for array hybridization was carried out as described in the manufactureâs instructions.
Project description:Arsenic (As) bioavailability in the rice rhizosphere is influenced by many microbial interactions, particularly by metal-transforming functional groups at the root-soil interface. This study was conducted to examine As-transforming microbes and As-speciation in the rice rhizosphere compartments, in response to two different water management practices (continuous and intermittently flooded), established on fields with high to low soil-As concentration. Microbial functional gene composition in the rhizosphere and root-plaque compartments were characterized using the GeoChip 4.0 microarray. Arsenic speciation and concentrations were analyzed in the rhizosphere soil, root-plaque, porewater and grain samples. Results indicated that intermittent flooding significantly altered As-speciation in the rhizosphere, and reduced methyl-As and AsIII concentrations in the pore water, root-plaque and rice grain. Ordination and taxonomic analysis of detected gene-probes indicated that root-plaque and rhizosphere assembled significantly different metal-transforming functional groups. Taxonomic non-redundancy was evident, suggesting that As-reduction, -oxidation and -methylation processes were performed by different microbial groups. As-transformation was coupled to different biogeochemical cycling processes establishing functional non-redundancy of rice-rhizosphere microbiome in response to both rhizosphere compartmentalization and experimental treatments. This study confirmed diverse As-biotransformation at root-soil interface and provided novel insights on their responses to water management, which can be applied for mitigating As-bioavailability and accumulation in rice grains.
Project description:Epidermal growth factor receptor (EGFR) inhibitors, as targeted therapies for non-small-cell lung cancer (NSCLC), have significantly enhanced patient survival and quality of life. However, despite these advancements, a significant proportion of patients exhibit resistance to EGFR inhibitors, limiting their overall treatment effectiveness. This study investigates the synergistic effects of combining Paeoniae Radix (PR) with the EGFR inhibitors erlotinib and gefitinib to overcome this resistance. The transcriptomic analysis of PR treatment revealed its potential to reverse the gene signature associated with resistance to EGFR inhibitors, as identified through analysis of a cell line database in EGFR mutant NSCLC. Combination treatment experiments validated that PR increased responsiveness to erlotinib and gefitinib in H1650 and H1975 NSCLC cells. By combining molecular experiments and transcriptome analysis, we found that PR may suppress resistance by modulating the Aurora B and apoptosis pathways. Notably, the combination therapy upregulated the apoptosis pathway and downregulated the Aurora B pathway more than single drug treatments. These results may contribute to the development of natural product-based combination therapeutic strategies to inhibit drug resistance in NSCLC.
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.