Using model organism Saccharomyces cerevisiae to evaluate the effects of ELF-MF and RF-EMF exposure on global gene expression
Using model organism Saccharomyces cerevisiae to evaluate the effects of ELF-MF and RF-EMF exposure on global gene expression
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使用模型生物酿酒酵母评估 ELF-MF 和 RF-EMF 暴露对整体基因表达的影响
DOI：
10.1002/bem.21724
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发表时间：
2012-10-01
影响因子：
1.9
通讯作者：
Xu, Zhengping
中科院分区：
文献类型：
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作者：
Chen, Guangdi;Lu, Deqiang;Xu, Zhengping
暴露于电磁场（EMF）中对健康的潜在危害继续引起公众关注。然而，暴露于电磁场的生物和健康影响的可能性仍然存在争议，其生物物理机制尚不清楚。在本研究中，我们使用酿酒酵母，以确定基因响应极低频磁场（ELF-MF）和射频EMF（RF-EMF）曝光。酵母细胞暴露6？H = 0.4？mT 50？Hz ELF-MF或1800？MHz的射频电动势在4.7的特定吸收率？W/kg。基因表达通过微阵列筛选进行分析，并使用实时逆转录-聚合酶链反应（RT-PCR）进行确认。我们不能用RT-PCR证实微阵列检测到的ELF-MF应答候选基因中的三个的变化（P <0.05）。0.05）。另一方面，在40个潜在的RF-EMF响应基因中，仅证实了3号染色体结构维持基因（SMC 3）和水通道蛋白2（AQY 2（m））的表达，而其他三个基因，即耐盐蛋白9（HAL 9）、另一个激酶1（YAK 1）和一个功能未知基因，（开放阅读框：YJL 171 C），与微阵列数据相比显示相反的表达变化（P？
The potential health hazard of exposure to electromagnetic fields (EMF) continues to cause public concern. However, the possibility of biological and health effects of exposure to EMF remains controversial and their biophysical mechanisms are unknown. In the present study, we used Saccharomyces cerevisiae to identify genes responding to extremely low frequency magnetic fields (ELF-MF) and to radiofrequency EMF (RF-EMF) exposures. The yeast cells were exposed for 6?h to either 0.4?mT 50?Hz ELF-MF or 1800?MHz RF-EMF at a specific absorption rate of 4.7?W/kg. Gene expression was analyzed by microarray screening and confirmed using real-time reverse transcription-polymerase chain reaction (RT-PCR). We were unable to confirm microarray-detected changes in three of the ELF-MF responsive candidate genes using RT-PCR (P?>?0.05). On the other hand, out of the 40 potential RF-EMF responsive genes, only the expressions of structural maintenance of chromosomes 3 (SMC3) and aquaporin 2 (AQY2 (m)) were confirmed, while three other genes, that is, halotolerance protein 9 (HAL9), yet another kinase 1 (YAK1) and one function-unknown gene (open reading frame: YJL171C), showed opposite changes in expression compared to the microarray data (P?