Development of a semi-automated image-based high-throughput drug screening system

开发半自动化的基于图像的高通量药物筛选系统

阅读:1

Abstract

We previously reported that the innate sensing of the endosymbiont Leishmania RNA virus 1 (LRV1) within Leishmania (Viannia) guyanensis through Toll-like receptor 3, worsens the pathogenesis of parasite infection in mice. The presence of LRV1 has been associated with the failure of first-line treatment in patients infected with LRV1 containing -L. guyanensis and -L. braziliensis parasites. Here, we established a semi-automated image-based high-throughput drug screening (HTDS) protocol to measure parasiticidal activity of the Prestwick chemical library in primary murine macrophages infected with LRV1-containing L. guyanensis. The two-independent screens generated 14 hit compounds with over sixty-nine percent reduction in parasite growth compared to control, at a single dose in both screens. Our screening strategy offers great potential in the search for new drugs and accelerates the discovery rate in the field of drug repurposing against Leishmania. Moreover, this technique allows the concomitant assessment of the effect of drug toxicity on host cell number.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。