1.Relationship between development of bioinformatics and study of Chinese herbal medicine
Chinese Traditional and Herbal Drugs 1994;0(06):-
Based on the bioinformatics and some frontier science for recent years, the new ideas and methods were used to improve the study of Chinese herbal medicine. Advances in DNA sequencing, prediction of gene, evolution and mutation, prediction of protein structure, biological chip technique, drug target and prediction of drug structure, simulation of metabolism, and the distribution of energy in pharmacological process showed the prospect of the study of Chinese medicinal plants. Some new areas about sources and pharmacology of Chinese herbal medicine are coming into being, especially the relationship between drug targets and drug structure, between simulation of metabolism and pharmacology, and between energy and pharmacology.
3.Potential mechanism of cisplatin resistance in non-small cell lung cancer A549 cells analyzed by the whole-transcriptome
Yaojun NI ; Zhongneng XU ; Sheng CHEN ; Jun WANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2021;28(01):35-42
Objective To reveal the potential mechanism of cisplatin resistance in non-small cell lung cancer A549 cells by comparing the expression profiles of wild-type A549 cells and cisplatin-resistant A549 cells (A549/DPP) through whole transcriptome sequencing analysis. Methods The cisplatin resistant A549 (A549/DDP) cell line was first established. Then, the whole-transcriptome analysis was conducted both on A549 and A549/DDP cells. Next, the differentially expressed RNAs of lncRNA-seq, circRNA-seq, and miRNA-seq data were identified, respectively, followed by functional enrichment analysis. Finally, a comprehensive analysis based on the whole transcriptome data was performed and the construction of the ceRNA network was carried out. Results A total of 4 517 lncRNA, 123 circRNA, and 145 miRNA were differentially expressed in A549/DDP cells compared with the A549 cell line. These different RNAs were significantly enriched in cancer-related pathways. The ceRNA network contained 12 miRNAs, 4 circRNAs, 23 lncRNAs, and 9 mRNA nodes, of which hsa-miR-125a-5p and hsa-miR-125b-5p were important miRNAs based on the topological analysis. Conclusion Tumor necrosis factor signaling pathway and p53 signaling pathway are involved in A549/DPP resistance. Hsa-miR-125a-5p and hsa-miR-125b-5p may be potential targets for reversing cisplatin resistance.