[Identification of Cervi Cornu (Cervus elaphus) and its formula granules based on PCR-RFLP].

Cervi Cornu is the ossified antler, or the base antler that falls off in the spring of the following year after the pilose antler is sawn off from Cervus elaphus or C. nippon, as a precious traditional Chinese medicine, has been recognized for its medicinal value and widely used in clinical practice. However, the origins of Cervi Cornu are miscellaneous, and Cervi Cornu is even mixed with adulterants in the market.

[Research progress on chemical constituents and pharmacological activities of seabuckthorn and prediction of its Q-markers].

Seabuckthorn contains flavonoids, tannins, terpenoids, polysaccharides, and vitamins, which have anti-inflammation,anti-oxidation, liver protection, anti-cardiovascular disease, anti-aging, immune enhancing, anti-tumor, and anti-bacterial activities.We reviewed the papers focusing on the chemical constituents, pharmacological activities, and utilization of seabuckthorn. The quality markers(Q-markers) of seabuckthorn were predicted and analyzed based on original plant phylogeny, chemical composition correlation, traditional medicinal properties, pharmacodynamic correlation, traditional and extended efficacy, pharmacokinetics, metabolic processes, and measurable components.

[Transcriptomics of therapeutic effect of Huangqi Liuyi decoction in treating type 2 diabetes].

In this study, Illumina sequencing platform was applied in sequencing rat pancreas, counting expression of target points, analyzing expression differences among blank group, model group and Huangqi Liuyi decoction group and exploring the therapeutic effect and mechanism of Huangqi Liuyi decoction on type 2 diabetes mellitus. According to the result, 24.25% of these genes belonged to the unknown functional class, which was the largest classification unit according to the classification analysis of genes by eggNOG.

[Model Predicts of Astragalus membranceus Transcriptional Gene].

Objective: Astragali Radix, one of the most widely used traditional Chinese medicines, has been extracted a variety of efficiently ingredients. However, the formation mechanism of the secondary metabolites is still unclear and the genome of Astragali Radix has not been sequenced yet. This study aimed at predicting gene model according to transcriptome data, which can be helpful to the use of Astragalus membranceus in the medicine field.