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用于高通量靶点发现的哺乳动物分泌蛋白和膜蛋白表达文库的构建与评估

Generation and evaluation of mammalian secreted and membrane protein expression libraries for high-throughput target discovery.

作者信息

Panavas Tadas, Lu Jin, Liu Xuesong, Winkis Ann-Marie, Powers Gordon, Naso Michael F, Amegadzie Bernard

机构信息

Biologics Research, Centocor R&D Inc., Radnor, PA, USA.

出版信息

Protein Expr Purif. 2011 Sep;79(1):7-15. doi: 10.1016/j.pep.2011.05.011. Epub 2011 May 26.

DOI:10.1016/j.pep.2011.05.011
PMID:21640830
Abstract

Expressed protein libraries are becoming a critical tool for new target discovery in the pharmaceutical industry. In order to get the most meaningful and comprehensive results from protein library screens, it is essential to have library proteins in their native conformation with proper post-translation modifications. This goal is achieved by expressing untagged human proteins in a human cell background. We optimized the transfection and cell culture conditions to maximize protein expression in a 96-well format so that the expression levels were comparable with the levels observed in shake flasks. For detection purposes, we engineered a 'tag after stop codon' system. Depending on the expression conditions, it was possible to express either native or tagged proteins from the same expression vector set. We created a human secretion protein library of 1432 candidates and a small plasma membrane protein set of about 500 candidates. Utilizing the optimized expression conditions, we expressed and analyzed both libraries by SDS-PAGE gel electrophoresis and Western blotting. Two thirds of secreted proteins could be detected by Western-blot analyses; almost half of them were visible on Coomassie stained gels. In this paper, we describe protein expression libraries that can be easily produced in mammalian expression systems in a 96-well format, with one protein expressed per well. The libraries and methods described allow for the development of robust, high-throughput functional screens designed to assay for protein specific functions associated with a relevant disease-specific activity.

摘要

表达蛋白文库正成为制药行业新靶点发现的关键工具。为了从蛋白文库筛选中获得最有意义和全面的结果,至关重要的是使文库蛋白处于天然构象并具有适当的翻译后修饰。通过在人细胞背景中表达无标签的人蛋白来实现这一目标。我们优化了转染和细胞培养条件,以在96孔板中最大化蛋白表达,使表达水平与摇瓶中观察到的水平相当。为了便于检测,我们设计了一种“终止密码子后标签”系统。根据表达条件,可以从同一组表达载体中表达天然蛋白或带标签的蛋白。我们创建了一个包含1432个候选蛋白的人分泌蛋白文库和一个约500个候选蛋白的小质膜蛋白集。利用优化后的表达条件,我们通过SDS-PAGE凝胶电泳和蛋白质印迹法对这两个文库进行了表达和分析。通过蛋白质印迹分析可检测到三分之二的分泌蛋白;其中近一半在考马斯亮蓝染色的凝胶上可见。在本文中,我们描述了可以在哺乳动物表达系统中以96孔板形式轻松产生的蛋白表达文库,每孔表达一种蛋白。所描述的文库和方法有助于开发强大的高通量功能筛选,旨在检测与相关疾病特异性活性相关的蛋白特定功能。

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