Transcriptome analysis and differential gene screening of Panax ginseng seed in different sand storage stages / 药学学报

Analyze the changes in gene expression profiles during the process of Panax ginseng seed dormancy release, and screen for differential genes, providing a basis for analyzing the mechanism of P. ginseng seed dormancy release. Comparative transcriptome analysis was conducted by using RNA-Seq sequencing technology in P. ginseng seeds stored at different low temperature. A total of 80.97 Gb of Raw reads and 80.19 Gb of Clean reads were obtained from the transcriptome. Principal component analysis and correlation analysis showed that there were significant differences in gene expression patterns at different developmental stages. Upset results showed that 46 248 unigenes were co-expressed in four stages, and 414, 445, 400 and 389 unigenes were specifically expressed in 0, 8,14 and 28 days, respectively. Gene Ontology functional annotation showed that the differentially expressed genes were mainly involved in nsaturated fatty acid biosynthetic process, nuclear body and oxidoreductase activity. Encyclopedia of Genes and Genomes metabolic pathway showed that differentially expressed genes were mainly involved in peroxisome, mitogen-activated protein kinase signaling pathway-plant, plant hormone signal transduction, ribosome, biosynthesis of unsaturated fatty acid, circadian rhythm-plant and other metabolic pathways. In the process of P. ginseng seed dormancy release, multiple biological processes, such as unsaturated fatty acid biosynthesis and plant hormone signal transduction, are required to coordinate regulation, which constitutes a complex dormancy release regulation network. Transcriptome analysis and differential gene screening of P. ginseng seeds at different sand storage time laid a foundation for the analysis of P. ginseng seed dormancy release mechanism and molecular breeding.

Using the cumulative odds Logit model to explore the application of the questionnaire derived from PANSS / 药学学报

Currently, aripiprazole, olanzapine and risperidone are three anti-psychiatry agents commonly used in the treatment of schizophrenia. Although the efficacy of these drugs is good, schizophrenia cannot be completely cured yet. Patients need long-term medication. The family members of patients may play a key role to understand the disease status of patients after patient discharge from hospital. PANSS is a commonly used scale in the clinic to evaluate the disease status and drug effects of anti-psychiatry agents. It was professionally written, and is not user friendly to amateurs. In the previous study, we developed a questionnaire for patient's family members to monitor the disease status. In this study, we explored the correlations between the results of questionnaire and 5 kinds of disease state corresponding to different PANSS score interval using the cumulative odds Logit model. The final results show that the model had relatively good prediction ability for aripiprazole, olanzapine and risperidone, suggesting that the questionnaire has an extensive prospect of clinical applications.