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  • 标题:Transcriptional Response of Human Umbilical Vein Endothelial Cells to Low Doses of Ionizing Radiation
  • 其他标题:Transcriptional Response of Human Umbilical Vein Endothelial Cells to Low Doses of Ionizing Radiation
  • 本地全文:下载
  • 作者:Vincenzo LANZA ; Valeria PRETAZZOLI ; Gregorio OLIVIERI
  • 期刊名称:Journal of Radiation Research
  • 印刷版ISSN:0449-3060
  • 电子版ISSN:1349-9157
  • 出版年度:2005
  • 卷号:46
  • 期号:2
  • 页码:265-276
  • DOI:10.1269/jrr.46.265
  • 摘要:We used cDNA microarray hybridization technology to monitor the transcriptional response of Human Umbilical Vein Endothelial (HUVEC) cells to x-rays doses ranging from 2 to 200 cGy. An early time window from irradiation (4h) was selected in order to minimize the effects of the cell cycle blockage eventually induced at high doses of irradiation. Three different gene-clustering algorithms have been used to group the 4134 monitored ORF based on their transcriptional response in function of the irradiation dose. The results show that while few genes exhibit a typical dose-dependent modulation with a variable threshold, most of them have a different modulation pattern, peaking at the two intermediate doses. Strikingly even the lowest dose used (2 cGy) seems to be very effective in transcriptional modulation. These results confirm the physiological relevance of sublethal-dose exposures of endothelial cells and strengthens the hypothesis that alternative dose-specific pathways of radioadaptive response exist in the mammalian cells. 111 genes were found to be modulated at all doses of irradiation. These genes were functionally classified by cellular process or by molecular function. Genes involved in coagulation and peroxidase activity and structural constituent of ribosomes were over-represented among the up-regulated genes as compared with their expected statistical occurrence. Three genes coding for regulatory kinase activities (CDK6; PRCKB1 and TIE) are found down-regulated at all doses of irradiation.
  • 关键词:Ionizing radiation; Adaptive response; Transcriptional modulation; DNA microarrays; Gene clustering
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