Optimized pipeline and designer cells for synthetic-biology-based high-throughput screening of viral protease inhibitors.

IF 4.5 Q1 BIOCHEMICAL RESEARCH METHODS
Cell Reports Methods Pub Date : 2025-08-18 Epub Date: 2025-08-07 DOI:10.1016/j.crmeth.2025.101139
Shlomi Edri, Shayma El-Atawneh, Tehila Ernst, Maayan Elnekave, Chaja Katzman, Tali Lanton, Ido Aldar, Omri Wolk, Noa Stern, Amiram Goldblum, Lior Nissim
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引用次数: 0

Abstract

A reliable, efficient, high-throughput pipeline to evaluate viral protease inhibitors would enhance antiviral drug discovery. Methods such as crystallography and phenotypic screening are often constrained by complex assay conditions, limited physiological relevance, or live virus handling safety concerns. Proof-of-concept studies previously demonstrated synthetic gene circuits that produce a quantitative reporter upon protease inhibition, enabling functional virus-independent evaluation of viral protease inhibitors in live cells. Using the SARS-CoV-2 3-chymotrypsin-like protease (3CLpro) as a model, we advanced this approach into a high-throughput first-pass qualitative assay ("hit/no-hit") to rapidly identify promising drug candidates. Our optimized circuit design was used to produce stable HEK293T and HeLa designer cells that generate two distinct fluorescence outputs, simultaneously reporting protease inhibition and cytotoxicity. The screening pipeline is designed to minimize labor, costs, and false-positive observations, thus enabling versatile, safe, and efficient functional drug screening suitable for any conventional biological laboratory.

基于合成生物学的病毒蛋白酶抑制剂高通量筛选的优化管道和设计细胞。
一个可靠、高效、高通量的管道来评估病毒蛋白酶抑制剂将促进抗病毒药物的发现。晶体学和表型筛选等方法经常受到复杂的分析条件、有限的生理相关性或活病毒处理安全问题的限制。先前的概念验证研究表明,合成基因回路可以产生蛋白酶抑制的定量报告基因,从而能够在活细胞中对病毒蛋白酶抑制剂进行功能独立的评估。使用SARS-CoV-2 3-chymotrypsin样蛋白酶(3CLpro)作为模型,我们将该方法推进到高通量第一次定性分析(“命中/不命中”),以快速识别有希望的候选药物。我们优化的电路设计用于生产稳定的HEK293T和HeLa设计细胞,产生两种不同的荧光输出,同时报告蛋白酶抑制和细胞毒性。筛选管道旨在最大限度地减少人工,成本和假阳性观察,从而实现适用于任何传统生物实验室的多功能,安全和高效的功能药物筛选。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cell Reports Methods
Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
111 days
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