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创建并筛选多家族细菌氧化还原酶文库,以发现能有效激活生物还原前药 CB1954 和 PR-104A 的新型硝基还原酶。

Creation and screening of a multi-family bacterial oxidoreductase library to discover novel nitroreductases that efficiently activate the bioreductive prodrugs CB1954 and PR-104A.

机构信息

School of Biological Sciences, Victoria University of Wellington, Kelburn Parade, Wellington, New Zealand.

出版信息

Biochem Pharmacol. 2013 Apr 15;85(8):1091-103. doi: 10.1016/j.bcp.2013.01.029. Epub 2013 Feb 8.

Abstract

Two potentially complementary approaches to improve the anti-cancer strategy gene-directed enzyme prodrug therapy (GDEPT) are discovery of more efficient prodrug-activating enzymes, and development of more effective prodrugs. Here we demonstrate the utility of a flexible screening system based on the Escherichia coli SOS response to evaluate novel nitroreductase enzymes and prodrugs in concert. To achieve this, a library of 47 candidate genes representing 11 different oxidoreductase families was created and screened to identify the most efficient activators of two different nitroaromatic prodrugs, CB1954 and PR-104A. The most catalytically efficient nitroreductases were found in the NfsA and NfsB enzyme families, with NfsA homologues generally more active than NfsB. Some members of the AzoR, NemA and MdaB families also exhibited low-level activity with one or both prodrugs. The results of SOS screening in our optimised E. coli reporter strain SOS-R2 were generally predictive of the ability of nitroreductase candidates to sensitise E. coli to CB1954, and of the kcat/Km for each prodrug substrate at a purified protein level. However, we also found that not all nitroreductases express stably in human (HCT-116 colon carcinoma) cells, and that activity at a purified protein level did not necessarily predict activity in stably transfected HCT-116. These results highlight a need for all enzyme-prodrug partners for GDEPT to be assessed in the specific context of the vector and cell line that they are intended to target. Nonetheless, our oxidoreductase library and optimised screens provide valuable tools to identify preferred nitroreductase-prodrug combinations to advance to preclinical evaluation.

摘要

两种潜在互补的方法可以提高抗癌策略基因导向酶前药治疗(GDEPT):发现更有效的前药激活酶,以及开发更有效的前药。在这里,我们展示了一种基于大肠杆菌 SOS 反应的灵活筛选系统的实用性,该系统用于协同评估新型硝基还原酶酶和前药。为了实现这一目标,我们创建并筛选了一个代表 11 种不同氧化还原酶家族的 47 个候选基因文库,以鉴定两种不同硝基芳香族前药 CB1954 和 PR-104A 的最有效的激活剂。在 NfsA 和 NfsB 酶家族中发现了催化效率最高的硝基还原酶,NfsA 同源物通常比 NfsB 更活跃。AzoR、NemA 和 MdaB 家族的一些成员也对一种或两种前药表现出低水平的活性。在我们优化的大肠杆菌报告菌株 SOS-R2 中进行 SOS 筛选的结果通常可以预测硝基还原酶候选物使大肠杆菌对 CB1954 敏感的能力,以及在纯蛋白水平上每个前药底物的 kcat/Km。然而,我们还发现并非所有硝基还原酶都能在人(HCT-116 结肠癌细胞)细胞中稳定表达,并且在纯蛋白水平上的活性不一定能预测在稳定转染的 HCT-116 中的活性。这些结果强调了需要在拟靶向的载体和细胞系的特定背景下评估 GDEPT 的所有酶-前药伙伴。尽管如此,我们的氧化还原酶文库和优化的筛选提供了有价值的工具,可以识别首选的硝基还原酶-前药组合,以推进临床前评估。

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