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Microarray-based Analysis of Genes, Transcription Factors, and Epigenetic Modifications in Lung Cancer Exposed to Nitric Oxide

机译:基于微阵列的基因,转录因子和肺癌外膜遗传修饰分析,暴露于一氧化氮

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Background/Aim: Nitric oxide (NO) is recognized as an important biological mediator that exerts several human physiological functions. As its nature is an aqueous soluble gas that can diffuse through cells and tissues, NO can affect cell signaling, the phenotype of cancer and modify surrounding cells. The variety of effects of NO on cancer cell biology has convinced researchers to determine the defined mechanisms of these effects and how to control this mediator for a better understanding as well as for therapeutic gain. Materials and Methods: We used bioinformatics and pharmacological experiments to elucidate the potential regulation and underlying mechanisms of NO in non-small a lung cancer cell model. Results: Using microarrays, we identified a total of 151 NO-regulated genes (80 up-regulated genes, 71 down-regulated genes) with a strong statistically significant difference compared to untreated controls. Among these, the genes activated by a factor of more than five times were: DCBLD2, MGC24975, RAB40AL, PER3, RCN1, MRPL51, PTTG1, KLF5, NFIX. On the other hand, the expression of RBMS2, PDP2, RBAK, ORMDL2, GRPEL2, ZNF514, MTHFD2, POLR2D, RCBTB1, JOSD1, RPS27, GPR4 genes were significantly decreased by a factor of more than five times. Bioinformatics further revealed that NO exposure of lung cancer cells resulted in a change in transcription factors (TFs) and epigenetic modifications (histone modification and miRNA). Interestingly, NO treatment was shown to potentiate cancer stem cell-related genes and transcription factors Oct4, Klf4, and Myc. Conclusion: Through this comprehensive approach, the present study illustrated the scheme of how NO affects molecular events in lung cancer cells.
机译:背景/目的:一氧化氮(NO)被认为是一种重要的生物调解剂,其施加几种人类生理功能。由于其性质是可以通过细胞和组织扩散的水溶液,因此不能影响细胞信号传导,癌症的表型并改变周围细胞。 NO对癌细胞生物学的各种影响已经相信研究人员确定这些效果的定义机制以及如何控制该调解员以获得更好的理解以及治疗增益。材料和方法:我们使用生物信息学和药理学实验来阐明非小肺癌细胞模型中的潜在调节和潜在的潜在机制。结果:使用微阵列,与未处理的对照相比,我们通过微阵列鉴定了总共151个无调节基因(80个上调基因,71个下调基因),其具有强烈的统计学显着差异。其中,激活超过五次的基因为:DCBLD2,MgC24975,RAB40AL,PER3,RCN1,MRPL51,PTTG1,KLF5,NFIX。另一方面,RBMS2,PDP2,RBAK,ORMDL2,GRPL2,ZNF514,MTHFD2,POLR2D,RCBTB1,JOSD1,RPS27,GPR4基因的表达显着降低了超过五次的倍数。生物信息学进一步表明,没有肺癌细胞暴露导致转录因子(TFS)和表观遗传修饰(组蛋白修饰和miRNA)的变化。有趣的是,没有显示治疗癌症干细胞相关基因和转录因子Oct4,KLF4和Myc。结论:通过这种综合方法,本研究说明了如何影响肺癌细胞中的分子事件的方案。

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