Development of A Fission Yeast Cell-based Platform for High Throughput Screening of HIV-1 Protease Inhibitors.

CURRENT HIV RESEARCH(2020)

引用 3|浏览6
暂无评分
摘要
Background: HIV-1 protease inhibitor (PI) is one of the most potent classes of drugs in combinational anti-retroviral therapies (cART). When a PI is used in combination with other anti-HIV drugs, cART can often suppress HIV-1 below detection thus prolonging the patient's lives. however, the challenge often faced by patients is the emergence of HIV-1 drug resistance. Thus, PIs with high genetic-barrier to drug-resistance are needed. Objective: The objective of this study was to develop a novel and simple fission yeast (Schizosaccharomyces pombe) cell-based system that is suitable for high throughput screening (HTS) of small molecules against HIV-1 protease (PR). Methods: A fission yeast RE294-GFP strain that stably expresses HIV-1 PR and green fluorescence protein (GFP) under the control of an inducible nmt1 promoter was used. Production of HIV-1 PR induces cellular growth arrest, which was used as the primary endpoint for the search of PIs and was quantified by an absorbance-based method. Levels of GFP production were used as a counter-screen control to eliminate potential transcriptional nmt1 inhibitors. Results: Both the absorbance-based HIV-1 PR assay and the GFP-based fluorescence assay were miniaturized and optimized for HTS. A pilot study was performed using a small drug library mixed with known PI drugs and nmt1 inhibitors. With empirically adjusted and clearly defined double-selection criteria, we were able to correctly identify the PIs and to exclude all hidden nmt1 inhibitors. Conclusion: We have successfully developed and validated a fission yeast cell-based HTS platform for the future screening and testing of HIV-1 PR inhibitors.
更多
查看译文
关键词
HIV-1 protease (PR),HIV-1 protease inhibitor (PI),fission yeast (Schizosaccharomyces pombe),high throughput screening (HTS),green fluorescence protein (GFP),atazanavir (ATV),transcriptional nmt1 inhibitor (TNI)
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要