Suppr超能文献

表达荧光素酶的杜氏利什曼原虫无鞭毛体的构建及其作为抗利什曼原虫化合物体外筛选的初步模型。

Development of luciferase expressing Leishmania donovani axenic amastigotes as primary model for in vitro screening of antileishmanial compounds.

机构信息

Division of Biochemistry, CSIR-Central Drug Research Institute, Chattar Manzil Palace, Lucknow 226001, UP, India.

出版信息

Curr Microbiol. 2012 Dec;65(6):696-700. doi: 10.1007/s00284-012-0209-1. Epub 2012 Sep 4.

Abstract

The development of new therapeutic leads against leishmaniasis relies primarily on screening of a large number of compounds on multiplication of clinically irrelevant transgenic promastigotes. The advent of the successful in vitro culture of axenic amastigotes allows the development of transgenic axenic amastigotes as a primary screen which can test compounds in a high throughput mode like promastigotes, still representative of the clinically relevant mammalian amastigotes stage. The present study reports the development of luciferase-tagged axenic amastigotes of Leishmania donovani, the causative agent of Indian Kala-azar, for in vitro drug screening. Luciferase expressing promastigotes were transformed to axenic amastigotes at a low pH and high temperature without the loss of luciferase expression. As compared to transgenic promastigotes, the luciferase expressing axenic amastigotes exhibited more sensitivity to antileishmanial drugs, particularly to pentavalent antimony (~2.8-fold) and also to the test compounds. Hence, the developed luciferase expressing axenic amastigotes make an ideal choice for high throughput drug screening for antileishmanial compounds.

摘要

针对利什曼病的新治疗方法的开发主要依赖于对大量化合物在临床无关的转基因前鞭毛体繁殖方面的筛选。成功体外培养无细胞内阿米巴原虫的出现使得转基因无细胞内阿米巴原虫能够作为一个主要的筛选方法,其可以像前鞭毛体一样以高通量的方式测试化合物,仍然代表了临床相关的哺乳动物内阿米巴原虫阶段。本研究报告了印度黑热病病原体杜氏利什曼原虫的荧光素酶标记的无细胞内阿米巴原虫的开发,用于体外药物筛选。表达荧光素酶的前鞭毛体在低 pH 值和高温下转化为无细胞内阿米巴原虫,而不会丧失荧光素酶的表达。与转基因前鞭毛体相比,表达荧光素酶的无细胞内阿米巴原虫对抗利什曼原虫药物更敏感,特别是对五价锑(~2.8 倍)和测试化合物也是如此。因此,开发的表达荧光素酶的无细胞内阿米巴原虫是高通量筛选抗利什曼原虫化合物的理想选择。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验