使用巧合报告生物电路的定量高通量筛选

Q2 Neuroscience
Brittany W. Schuck, Ryan MacArthur, James Inglese
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引用次数: 3

摘要

Reporter-biased artifacts-i.e。例如,在高通量筛选(HTS)试验中直接与报告酶相互作用的化合物,而不是与被询问的生物过程或药理学相互作用的化合物,现在被广泛认为会降低用于化学探针和治疗开发的高通量筛选的效率和质量。此外,在初级筛查活动中,窄浓度或单一浓度的HTS使假阴性长期存在。基于滴定的HTS或定量HTS (qHTS)和重合报告技术可以分别用于减少假阴性和假阳性,从而提高初级筛选工作的质量和效率,其中所调查的化合物数量可以从数万到数百万不等。本文描述的三种方案允许生成巧合报告(CR)生物电路来询问感兴趣的生物学或药理学问题,生成表达CR生物电路的稳定细胞系,以及使用CR生物电路有效识别高质量生物活性小分子的qHTS。©2017 by John Wiley &儿子,Inc。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantitative High-Throughput Screening Using a Coincidence Reporter Biocircuit

Quantitative High-Throughput Screening Using a Coincidence Reporter Biocircuit

Quantitative High-Throughput Screening Using a Coincidence Reporter Biocircuit

Quantitative High-Throughput Screening Using a Coincidence Reporter Biocircuit

Reporter-biased artifacts—i.e., compounds that interact directly with the reporter enzyme used in a high-throughput screening (HTS) assay and not the biological process or pharmacology being interrogated—are now widely recognized to reduce the efficiency and quality of HTS used for chemical probe and therapeutic development. Furthermore, narrow or single-concentration HTS perpetuates false negatives during primary screening campaigns. Titration-based HTS, or quantitative HTS (qHTS), and coincidence reporter technology can be employed to reduce false negatives and false positives, respectively, thereby increasing the quality and efficiency of primary screening efforts, where the number of compounds investigated can range from tens of thousands to millions. The three protocols described here allow for generation of a coincidence reporter (CR) biocircuit to interrogate a biological or pharmacological question of interest, generation of a stable cell line expressing the CR biocircuit, and qHTS using the CR biocircuit to efficiently identify high-quality biologically active small molecules. © 2017 by John Wiley & Sons, Inc.

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来源期刊
Current Protocols in Neuroscience
Current Protocols in Neuroscience Neuroscience-Neuroscience (all)
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期刊介绍: Current Protocols in Neuroscience is a one-stop resource for finding and adapting the best models and methods for all types of neuroscience experiments. Updated every three months in all formats, CPNS is constantly evolving to keep pace with the very latest discoveries and developments. A year of these quarterly updates is included in the initial CPNS purchase price.
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