Gene Expression Responses in Lymphoblastoid Cells after Radiation Exposure

Gene Expression Responses in Lymphoblastoid Cells after Radiation Exposure
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辐射暴露后淋巴母细胞的基因表达反应

DOI:
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发表时间:
2001
期刊:
影响因子:
3.4
通讯作者:
B. Tracy
B. Tracy
中科院分区:
医学3区
文献类型:
--
作者:
B. Ford;D. Wilkinson;E. Thorleifson;B. Tracy

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抽象的福特,B。N.,威尔金森,D.索莱夫森,E. M.特蕾西,B. L.辐射后淋巴母细胞基因表达的反应。Radiat. Res. 156,668-671(2001)。对辐射反应的个体差异是众所周知的,但这些差异的分子基础还没有得到很好的理解,并且缺乏用于评估个体差异的分子指标。偶尔会对发生意外辐射反应的患者的细胞进行罕见遗传异常(如ATM基因的等位基因)分析,但很少有关于遗传变异对辐射反应的长期影响的数据。我们假设,在辐射反应的变化是由于在基因的差异,对辐射暴露的反应,基因表达的变化可能作为个体反应的替代标记。作为第一步,在开发一个选择合适的标记基因表达,我们使用cDNA微阵列来识别基因的表达改变的淋巴母细胞4小时后,暴露于1戈伊X射线。我们发现基因表达的变化范围从10倍的抑制到12倍的诱导。一些反应基因以前在其他细胞类型中已经注意到,而另一些则是首次报道。利用这些数据,我们开始描述响应基因的结构,时间和功能变化的范围。这项工作的结果将有助于制定反应标志,用于敏感个人的预筛选和风险评估。
Abstract Ford, B. N., Wilkinson, D., Thorleifson, E. M. and Tracy, B. L. Gene Expression Responses in Lymphoblastoid Cells after Radiation Exposure. Radiat. Res. 156, 668–671 (2001). Individual differences in response to radiation are well known, but the molecular basis for these differences is not well understood, and molecular indicators that are useful in assessing individual variation are lacking. Cells from patients developing unexpected radiation responses have occasionally been analyzed for rare genetic anomalies (such as alleles of the ATM gene), but few data exist on the long-term effects of genetic variation on radiation response. We hypothesize that much of the variation in the response to radiation is due to differences in the genes that respond to radiation exposure, and that changes in gene expression may serve as surrogate markers of individual response. As a first step in developing a selection of suitable markers of gene expression, we used cDNA microarrays to identify genes that were altered in expression in lymphoblastoid cells 4 h after exposure to 1 Gy X rays. We found changes in gene expression ranging from a 10-fold repression to a 12-fold induction. Some of the responsive genes have been noted previously in other cell types, whereas others are reported for the first time. Using these data, we are beginning to characterize the range of structural, temporal and functional variations in the responsive genes. The results of this work will assist in developing response markers both for prescreening for sensitive individuals and for risk assessment.
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