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基于倍增时间和转染率的启动子分析和表达靶向基因治疗优化。

Analysis of promoters and expression-targeted gene therapy optimization based on doubling time and transfectability.

机构信息

Department of Comparative Medicine, Tulane University, New Orleans, LA 70118, USA.

出版信息

FASEB J. 2011 Sep;25(9):3219-28. doi: 10.1096/fj.11-185421. Epub 2011 May 20.

Abstract

Genes under the control of the cyclooxygenase-2 (Cox-2), human epidermal growth factor receptor 2 (Her-2), and survivin promoters were constructed and delivered to murine and human carcinoma cells. It was found that (P)Cox-2-driven reporter expression was strong and correlated well with endogenous Cox-2 levels, while (P)Her-2 and (P)survivin yielded poor results, consistent with the three distinct expression mechanisms used by cancer cells to overexpress the endogenous versions of the selected genes. The (P)Cox-2 was then used to drive the expression of caspase genes both in vitro and in vivo to bring about targeted apoptosis of carcinoma cells successfully. The results led to the following conclusions. 1) When selecting a promoter/enhancer for expression-targeted gene delivery, it is not enough to perform a microarray on some tumor tissue and select the control element associated with the greatest amount of gene up-regulation vs. normal controls. The mechanism of expression for the particular gene should be taken into account to prevent lengthy and costly research trials. 2) When overexpression is due to activator binding, a predictive model based on endogenous gene expression levels, overall cell transfectability, and cell doubling rates can be used to predict expression-targeted gene delivery outcomes with significant accuracy.

摘要

构建并转染了受环氧化酶-2(Cox-2)、人表皮生长因子受体 2(Her-2)和生存素启动子调控的基因至鼠和人癌细胞中。结果发现,(P)Cox-2 驱动的报告基因表达较强,与内源性 Cox-2 水平密切相关,而(P)Her-2 和(P)生存素的效果较差,这与癌细胞用于过度表达所选基因的内源性版本的三种不同表达机制一致。然后,(P)Cox-2 被用于在体外和体内驱动半胱氨酸天冬氨酸蛋白酶基因的表达,成功地诱导了癌细胞的靶向凋亡。研究结果得出以下结论。1)在选择用于表达靶向基因传递的启动子/增强子时,仅对某些肿瘤组织进行微阵列分析并选择与正常对照相比基因上调幅度最大的调控元件是不够的。应考虑特定基因的表达机制,以防止漫长而昂贵的研究试验。2)当过度表达是由于激活剂结合引起时,可以使用基于内源性基因表达水平、整体细胞转染率和细胞倍增率的预测模型,以相当高的准确性预测表达靶向基因传递的结果。

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