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高通量三部分分裂 GFP 基于细胞的测定法,用于筛选小分子 GTP 酶激活的调节剂。

High-content tripartite split-GFP cell-based assays to screen for modulators of small GTPase activation.

机构信息

Cancer Research Center of Toulouse, INSERM U1037, 31037 Toulouse, France.

Université de Toulouse, Toulouse, France.

出版信息

J Cell Sci. 2018 Jan 8;131(1):jcs210419. doi: 10.1242/jcs.210419.

Abstract

The human Ras superfamily of small GTPases controls essential cellular processes such as gene expression and cell proliferation. As their deregulation is widely associated with human cancer, small GTPases and their regulatory proteins have become increasingly attractive for the development of novel therapeutics. Classical methods to monitor GTPase activation include pulldown assays that limit the analysis of GTP-bound form of proteins from cell lysates. Alternatively, live-cell FRET biosensors may be used to study GTPase activation dynamics in response to stimuli, but these sensors often require further optimization for high-throughput applications. Here, we describe a cell-based approach that is suitable to monitor the modulation of small GTPase activity in a high-content analysis. The assay relies on a genetically encoded tripartite split-GFP (triSFP) system that we integrated in an optimized cellular model to monitor modulation of RhoA and RhoB GTPases. Our results indicate the robust response of the reporter, allowing the interrogation of inhibition and stimulation of Rho activity, and highlight potential applications of this method to discover novel modulators and regulators of small GTPases and related protein-binding domains.

摘要

人类 Ras 超家族的小分子 GTPases 控制着细胞增殖等基本的细胞过程。由于其失调与人类癌症广泛相关,小分子 GTPases 及其调节蛋白已成为开发新型治疗方法的热点。监测 GTPase 激活的经典方法包括下拉测定,该方法限制了对细胞裂解物中 GTP 结合形式蛋白的分析。或者,可以使用活细胞 FRET 生物传感器来研究刺激反应中小 GTPase 激活的动力学,但这些传感器通常需要进一步优化以用于高通量应用。在这里,我们描述了一种基于细胞的方法,适用于在高内涵分析中监测小分子 GTPase 活性的调节。该测定依赖于我们整合到优化细胞模型中的基因编码的三部分分裂 GFP(triSFP)系统,以监测 RhoA 和 RhoB GTPases 的调节。我们的结果表明该报告基因具有强大的响应能力,允许对 Rho 活性的抑制和刺激进行检测,并强调了该方法在发现小分子 GTPases 及其相关蛋白结合域的新型调节剂和调节剂方面的潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8b/5818064/370eda315f80/joces-131-210419-g1.jpg

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