|本期目录/Table of Contents|

[1]吴勤研,蓝晓红,吴波,等.基于生物信息技术分析人参皂苷防治乳腺癌的作用机制[J].医学研究与战创伤救治(原医学研究生学报),2022,24(3):282-288.[doi:10.3969/j.issn.1672-271X.2022.03.013]
　WU Qin-yan,LAN Xiao-hong,WU Bo,et al.Analysis of the mechanism of action of ginsenosides in preventing and treating breast cancer based on bioinformatics technology[J].JOURNAL OF MEDICALRESEARCH —COMBAT TRAUMA CARE,2022,24(3):282-288.[doi:10.3969/j.issn.1672-271X.2022.03.013]
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基于生物信息技术分析人参皂苷防治乳腺癌的作用机制()
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《医学研究与战创伤救治》（原医学研究生学报）[ISSN:1672-271X/CN:32-1713/R]

卷:
第24卷
期数:
2022年3期
页码:
282-288
栏目:
药学研究
出版日期:
2022-06-30

文章信息/Info

Title:
Analysis of the mechanism of action of ginsenosides in preventing and treating breast cancer based on bioinformatics technology
作者:
吴勤研; 蓝晓红; 吴波; 魏玮; 李薛梅; 初晓玲; 高茗
作者单位：210002南京，东部战区总医院（原南京军区南京总医院）药剂科（吴勤研、蓝晓红、吴波、魏玮、李薛梅、初晓玲、高茗）
Author(s):
WU Qin-yan;  LAN Xiao-hong;  WU Bo;  WEI Wei;  LI Xue-mei;  CHU Xiao-ling;  GAO Ming
（Department of Pharmacy, General Hospital of Eastern Theater Command, PLA, Nanjing 210002, Jiangsu, China）
关键词:
生物信息技术; 人参皂苷; 乳腺癌; 作用机制
Keywords:
bioinformatics technology;  ginsenoside;  breast cancer;  mechanism
分类号:
R285.5
DOI:
10.3969/j.issn.1672-271X.2022.03.013
文献标志码:
A
摘要:
目的运用生物信息学技术探讨人参皂苷调控乳腺癌潜在的作用机制。方法从基因表达数据库（GEO）获取与乳腺癌相关的基因芯片GSE85871，并用GEO2R在线分析软件分析该芯片数据集，得到差异表达基因（DEGs）。分别运用SangerBox和GraphPad Prism 8图像处理软件对差异表达基因进行可视化处理。在SRING平台上构建蛋白互作（PPI）网络，利用Cytoscape 3.7软件分析该网络，获得核心基因。运用DAVID 6.8数据库对核心基因进行基因本体（GO）功能注释和京都基因百科全书（KEGG）通路富集。结果从芯片数据集中筛选出182个差异基因，其中上调基因有110个，下调基因有72个。核心基因涉及VEGFA,BMP4,SPARC,PLG,ITGB2,TEK, SERP,INA1,SERPINB5和IGFBP7。GO生物过程包括细胞黏附、蛋白质磷酸化的正调控、细胞间信号转导、胶质细胞迁移和血管生成的负调控等；KEGG信号通路包括细胞因子-细胞因子受体相互作用、阿米巴病、弓形体病和癌症中的微小RNA通路等。结论人参皂苷通过多靶点、多条信号通路的共同作用，发挥抗乳腺癌的药理作用。
Abstract:
ObjectiveBioinformatics technology were used to explore the potential mechanism of ginsenosides in the treatment of breastcancer.MethodsGene chips of GSE85871 related to breast cancer was obtained from the Gene Expression Database (GEO), and the dataset of chips were analyzed by GEO2R online analysis software to obtain differentially expressed genes (DEGs). DEGs were visualized by image processing software of SangerBox and GraphPad Prism8. Network of protein-protein interaction (PPI) was constructed on the SRING platform, and the network was analyzed by Cytoscape 3.7 software to obtain the core genes. Database of DAVID 6.8 was used to obtain Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes (KEGG) pathway enrichment of core genes.ResultsA total of 182 differential genes were screened from the microarray dataset, of which 110 were up-regulated and 72 were down-regulated. Core genes involved VEGFA, BMP4, SPARC, PLG, ITGB2, TEK, SERP, INA1, SERPINB5 and IGFBP7. GO biological processes included cell adhesion, positive regulation of protein phosphorylation, intercellular signal transduction, glial cell migration and negative regulation of angiogenesis. KEGG signaling pathway included cytokine-cytokine receptor interactions, amoeba disease, toxoplasmosis, and microRNA pathways in cancer.ConclusionGinsenoside plays an important role in anti-breast cancer through multi-target and multi-signal pathway.

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备注/Memo

备注/Memo:
基金项目：江苏省药学会药学服务专项科研项目（H202003）
更新日期/Last Update: 2022-06-21