ABSTRACT
Objective: To explore the research focus on Chinese medicine intervene stem cells in the treatment of ischemic heart disease and provide reference for the future research in this field by retrieving, co-occurrence analyzing and cluster analyzing of quantitative analysis the related literature. Methods: The literatures related to this study were retrieved from the China Knowledge Resource Integrated Database (CNKI) and PubMed database. The high frequency words were cooccurrence analyzing and cluster analyzing by bibliographic item co-occurrence matrix builder (BICOMB) software, Cytoscape3.6.1 drawing software and SPSS statistical analysis software. Results: In CNKI, there were 116 literatures published and 43 high frequency words (frequency＞ 3 times), and it had 226 co-occurrence relation among high frequency words. The high-frequency words were clustered into 7 categories. In PubMed, there were 44 literature published and 35 high frequency words (frequency＞3 times), and it had 355 co-occurrence relation among high frequency words. The high-frequency words are clustered into 8 categories. Conclusion: The research of Chinese medicine intervene stem cells in the treatment of ischemic heart disease was more and more popular in the world after2005. The hot researches on traditional Chinese medicine are 6 aspects of Chinese herbal medicine, Yiqi Wengyang Huoxue Formula, Panax notoginseng, Rehmannia glutinosa oligosaccharides, Danshen injection and Radix Salviae Miltiorrhizae.
ABSTRACT
The utilization of heterosis in rice, maize and rapeseed has revolutionized crop production. Although elite hybrid cultivars are mainly derived from the F1 crosses between two groups of parents, named NCII mating design, little has been known about the methodology of how interacted effects influence quantitative trait performance in the population. To bridge genetic analysis with hybrid breeding, here we integrated an interacted QTL mapping approach with breeding by design in partial NCII mating design. All the potential main and interacted effects were included in one full model. If the number of the effects is huge, bulked segregant analysis were used to test which effects were associated with the trait. All the selected effects were further shrunk by empirical Bayesian, so significant effects could be identified. A series of Monte Carlo simulations was performed to validate the new method. Furthermore, all the significant effects were used to calculate genotypic values of all the missing F1 hybrids, and all these F1 phenotypic or genotypic values were used to predict elite parents and parental combinations. Finally, the new method was adopted to dissect the genetic foundation of oil content in 441 rapeseed parents and 284 F1 hybrids. As a result, 8 main-effect QTL and 37 interacted QTL were found and used to predict 10 elite restorer lines, 10 elite sterile lines and 10 elite parental crosses. Similar results across various methods and in previous studies and a high correlation coefficient (0.76) between the predicted and observed phenotypes validated the proposed method in this study.