Hartig Sean M, Newberg Justin Y, Bolt Michael J, Szafran Adam T, Marcelli Marco, Mancini Michael A
Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA.
Methods Mol Biol. 2011;776:313-31. doi: 10.1007/978-1-61779-243-4_18.
Systems-level approaches have emerged that rely on analytical, microscopy-based technology for the discovery of novel drug targets and the mechanisms driving AR signaling, transcriptional activity, and ligand independence. Single cell behavior can be quantified by high-throughput microscopy methods through analysis of endogenous protein levels and localization or creation of biosensor cell lines that can simultaneously detect both acute and latent responses to known and unknown androgenic stimuli. The cell imaging and analytical protocols can be automated to discover agonist/antagonist response windows for nuclear translocation, reporter gene activity, nuclear export, and subnuclear transcription events, facilitating access to a multiplex model system that is inherently unavailable through classic biochemical approaches. In this chapter, we highlight the key steps needed for developing, conducting, and analyzing high-throughput screens to identify effectors of AR signaling.
已经出现了基于系统层面的方法,这些方法依赖于基于分析和显微镜的技术来发现新的药物靶点以及驱动雄激素受体(AR)信号传导、转录活性和配体非依赖性的机制。通过高通量显微镜方法,分析内源性蛋白质水平和定位,或创建能够同时检测对已知和未知雄激素刺激的急性和潜在反应的生物传感器细胞系,可以对单细胞行为进行量化。细胞成像和分析方案可以自动化,以发现核转位、报告基因活性、核输出和亚核转录事件的激动剂/拮抗剂反应窗口,从而便于使用经典生化方法无法获得的多重模型系统。在本章中,我们重点介绍开发、进行和分析高通量筛选以识别AR信号传导效应器所需的关键步骤。