ABSTRACT
Aim: The effects of UV-B pretreatment on biosynthesis of active ingredients in Prunella vulgaris L. were studied from three aspects: active ingredients, physiological and biochemical parameters and key enzymes of rosmarinic acid metabolism pathway.Methodology: In greenhouse, the seedlings of P. vulgaris were subjected to UV-B treatment for 30 min from 10:30 a.m. to 11:00 a.m. every day for 10 days and then transplanted to field. After ripening, the leaves were harvested for physiological and biochemical estimations and the expression of key enzyme genes and the contents of active ingredients were measured by ear picking. Results: The results of active ingredient content showed that artificial UV-B radiation increased the contents of phenolic acids and individual flavonoids at mature fruiting stage compared with control plants. Physiological and biochemical results indicated that increase in peroxidase, ascorbate peroxidase, and superoxide dismutase activities seem to be active responses to alleviate the deleterious effects of UV-B in P. vulgaris. Under UV-B pre-treatment, genes related to rosmarinic acid/phenolic acid biosynthesis were significantly (p<0.05) over-expressed at seedling stage of P. vulgaris. Interpretation: This study indicated that UV-B pre-treatment in the seedling stage before transplantation to field is effective for inducing phenolic acid and flavonoid accumulation in P. vulgaris ears at mature fruiting stage.
ABSTRACT
Osteosarcoma (OS) is the most common primary bone malignancy, but current therapies are far from effective for all patients. A better understanding of the pathological mechanism of OS may help to achieve new treatments for this tumor. Hence, the objective of this study was to investigate ego modules and pathways in OS utilizing EgoNet algorithm and pathway-related analysis, and reveal pathological mechanisms underlying OS. The EgoNet algorithm comprises four steps: constructing background protein-protein interaction (PPI) network (PPIN) based on gene expression data and PPI data; extracting differential expression network (DEN) from the background PPIN; identifying ego genes according to topological features of genes in reweighted DEN; and collecting ego modules using module search by ego gene expansion. Consequently, we obtained 5 ego modules (Modules 2, 3, 4, 5, and 6) in total. After applying the permutation test, all presented statistical significance between OS and normal controls. Finally, pathway enrichment analysis combined with Reactome pathway database was performed to investigate pathways, and Fisher's exact test was conducted to capture ego pathways for OS. The ego pathway for Module 2 was CLEC7A/inflammasome pathway, while for Module 3 a tetrasaccharide linker sequence was required for glycosaminoglycan (GAG) synthesis, and for Module 6 was the Rho GTPase cycle. Interestingly, genes in Modules 4 and 5 were enriched in the same pathway, the 2-LTR circle formation. In conclusion, the ego modules and pathways might be potential biomarkers for OS therapeutic index, and give great insight of the molecular mechanism underlying this tumor.