Si Chen, Iram S Tyagi, Wai Kin Mat, Muhammad A Khan, Weijian Fan, Zhenggang Wu, Taobo Hu, Can Yang, Hong Xue
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引用次数: 0
摘要
我们早先曾报道过各种癌症临床样本和正常培养条件下 HeLa 细胞中的自发正向逆转突变。为了研究化学刺激对这种突变周期的影响,本研究检测了暴露于含wogonin或酸性培养基的HeLa和A549细胞中的单核苷酸变异(SNVs)和拷贝数变异(CNVs)。在 wogonin 培养基中,两种细胞系都在第 16-18 天出现突变周期。在酸性培养基中,两种细胞系都出现了多个不同程度的突变周期。基因组特征共定位分析表明,CNVs 往往发生在扩展区和不稳定区,以及启动子、组蛋白和非编码转录位点附近。此外,在两种化学处理下的正向-反向突变循环过程中,细胞形态都发生了表型变化。总之,沃戈宁或酸性物质施加的化学压力在不同程度上促进了 HeLa 和 A549 细胞的正向逆转突变循环。
Forward-reverse mutation cycles in cancer cell lines under chemical treatments.
Spontaneous forward-reverse mutations were reported by us earlier in clinical samples from various types of cancers and in HeLa cells under normal culture conditions. To investigate the effects of chemical stimulations on such mutation cycles, the present study examined single nucleotide variations (SNVs) and copy number variations (CNVs) in HeLa and A549 cells exposed to wogonin-containing or acidic medium. In wogonin, both cell lines showed a mutation cycle during days 16-18. In acidic medium, both cell lines displayed multiple mutation cycles of different magnitudes. Genomic feature colocalization analysis suggests that CNVs tend to occur in expanded and unstable regions, and near promoters, histones, and non-coding transcription sites. Moreover, phenotypic variations in cell morphology occurred during the forward-reverse mutation cycles under both types of chemical treatments. In conclusion, chemical stresses imposed by wogonin or acidity promoted cyclic forward-reverse mutations in both HeLa and A549 cells to different extents.
期刊介绍:
Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics.
Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.