M. Rostami-Nejad, M. Razzaghi, S. Esmaeili, A. Zali, M. Rezaei-Tavirani, Mohammah Hossein Heidari, M. Rezaei-Tavirani, M. Zamanian-Azodi, N. Ahmadi
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引用次数: 1
摘要
背景与目的:姜黄素作为一种药用物质,在治疗多种疾病尤其是癌症方面显示出良好的疗效。为了了解其潜在的机制,差异表达microRNAs (DEMs)的分子互补研究可以提供帮助。因此,本研究对姜黄素治疗的黑素瘤癌与未治疗的雄性小家鼠进行了dem的调控网络分析。方法:从Gene Expression Omnibus (GEO)数据库(https://www.ncbi.nlm.nih.gov/geo/.At)中获取数据,首先将log fold change (FC)≥2作为预测后续研究中dem的截断点。根据统计上最显著的microrna的优先级,GEO2R检测到250个最显著变化的microrna。然后通过Cytoscape软件v.3.7.2及其插件对这些mirna进行调控网络分析。结果:21个mirna的表达量差异有统计学意义。调控网络还鉴定出了mmu-miR-199a、mmu-miR-199b、mmu-miR-21、mmu-miR-142-3p、mmu-miR-148a、mmu-miR-214等重要microrna,以及Pkp3、Usp19、Ercc4、Ttc25、Atp13a2、Akr1b7、Umod、Nup188、Imp3和Tmem74b等基因。排名最高的枢纽是mmu-miR-199a,它有9个连接。结论:本研究为姜黄素对黑色素瘤健康益处的分子机制提供了新的见解。
Evaluation of Anticancer and Neuroprotective Properties of Curcumin: a Network Analysis
Background and objectives: Curcumin as a medicinal substance has shown effective in different kinds of diseases especially cancer. To understand its underlying mechanism, molecular complementary study of differentially expressed microRNAs (DEMs) could assist. In this view, regulatory network analysis of DEMs of melanoma cancer treated with curcumin versus the untreated male Mus musculus was investigated in this study. Methods: Data was obtained from the database of Gene Expression Omnibus (GEO), https://www.ncbi.nlm.nih.gov/geo/.At first, the log fold change (FC)≥ 2 was assigned for predicting a cut off for DEMs in the following study. GEO2R detected a number of 250 top significantly changed microRNAs based on the priority of the most statistically significant ones. These miRNAs were then explored for regulatory network analysis via Cytoscape softwarev.3.7.2 and its plug-ins. Results: The findings indicated that a number of 21 miRNAs were statistically significant with differential expression amounts. Regulatory network also identified important microRNAs of mmu-miR-199a, mmu-miR-199b, mmu-miR-21, mmu-miR-142-3p, mmu-miR-148a, mmu-miR-214 and genes of Pkp3, Usp19, Ercc4, Ttc25, Atp13a2, Akr1b7, Umod, Nup188, Imp3, and Tmem74b. The highest ranked hub was mmu-miR-199a, which had nine connections. Conclusion: The present study offers new insights into the molecular mechanism of curcumin health benefits in melanoma cancer.