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1.
Acta Pharmaceutica Sinica ; (12): 2736-2745, 2020.
Article in Chinese | WPRIM | ID: wpr-837525

ABSTRACT

italic>Bulbophyllum orchids are popular for its ornamental appearance and great medicinal values. However, there is still a lack of research on phylogenetic relationship and species identification for this genus. In this study, the plastome sequences of three medicinal Bulbophyllum orchids (Bulbophyllum affine, Bulbophyllum pectinatum, Bulbophyllum funingense) were sequenced and analyzed. After assembly and annotation, it was found that the plastomes of Bulbophyllum plants encoded a total of 108 genes, including 74 protein-coding genes, 30 tRNA genes and 4 rRNA genes. Based on the analysis of mVISTA and comparison between junctions, it was found that the plastome structure of Bulbophyllum orchids was relatively conserved, and the variation mainly existed in the non-coding regions. Phylogenetic analysis showed that Bulbophyllum orchids were closely related to Dendrobium orchids. SSR analysis of Bulbophyllum showed that most SSRs were located in the intergenic spacer and had the most single nucleotide repeats. In addition, based on the comparative analysis of non-coding sequences, a total of 10 high-variability sequences were screened out, among which the combination of five non-coding region sequences, including psbI-trnS, psbC-trnS, clpP-ex1-psbB, psaJ-rpl33, rpl33-rps18, had the highest sequence variability and could be used in the species identification study of medicinal plants of Bulbophyllum. In conclusion, this study provides a theoretical basis for phylogenetic relationship and species identification of Bulbophyllum orchids through the comparative analysis of plastome sequences of three medicinal plants of the genus Bulbophyllum.

2.
Journal of Southern Medical University ; (12): 238-244, 2016.
Article in Chinese | WPRIM | ID: wpr-273781

ABSTRACT

<p><b>OBJECTIVE</b>To identify differentially expressed microRNAs (miRNAs) related to lung adenocarcinoma in Xuanwei region and predict their target genes and related signaling pathways based on bioinformatic analysis.</p><p><b>METHODS</b>High-throughput microarray assay was performed to detect miRNA expression profiles in 34 paired human lung adenocarcinoma and adjacent normal tissues (including 24 cases in Xuanwei region and 10 in other regions). Gene ontology and KEGG pathway analyses were used to predict the target genes and the regulatory signaling pathways.</p><p><b>RESULTS</b>Thirty-four miRNAs were differentially expressed in lung adenocarcinoma tissues in cases in Xuanwei region as compared with cases in other regions, including 23 upregulated and 11 downregulated miRNAs. The predicted target genes included GF, RTK, SOS, IRS1, BCAP, CYTOKINSR, ECM, ITGB, FAK and Gbeta;Y involving the PI3K/Alt, WNT and MAPK pathways.</p><p><b>CONCLUSION</b>The specific microRNA expression profiles of lung adenocarcinoma in cases found in Xuanwei region allow for a better understanding of the pathogenesis of lung adenocarcinoma in Xuanwei. The predicted target genes may involve the PI3K/Alt, WNT and MAPK pathways.</p>


Subject(s)
Humans , Adenocarcinoma , Genetics , Metabolism , Computational Biology , Gene Expression Profiling , Lung , Metabolism , Lung Neoplasms , Genetics , Metabolism , MicroRNAs , Genetics , Metabolism , Signal Transduction
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