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蛋白质微阵列分析用于 SH3 结构域相互作用的筛选。

Protein microarray assay for the screening of SH3 domain interactions.

机构信息

Institute of Medical Microbiology and Hygiene, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany.

出版信息

Anal Bioanal Chem. 2010 Nov;398(5):1937-46. doi: 10.1007/s00216-010-4202-x. Epub 2010 Sep 22.

DOI:10.1007/s00216-010-4202-x
PMID:20859618
Abstract

Analysis of cellular signal transduction processes increasingly focuses on the systematic characterization of complete protein interaction networks. Understanding the interplay of signaling components enables insight into the molecular basis of diverse diseases such as cancer. This paves the way for the rational design of specific therapeutics. Protein interactions are often mediated by conserved modular domains, e.g., SH3-domains, which recognize proline-rich sequences in their cognate ligands. In the course of this study, different microarray formats (reactive silane monolayers and nitrocellulose on glass slides) and assay work flows were evaluated to develop a microarray based screening assay that permits the reliable identification of interactions between certain target proteins with a set of SH3 domains. Nine representative SH3 domains which were produced and purified as GST-fusion proteins were spotted on the microarray substrates and probed with two well-characterized ligands, the Nef protein from HIV-1 and the human protein Sam68. The best results from these low-density model arrays were obtained with nitrocellulose slides. We show that a straightforward and highly robust detection of ligand binding is achieved by staining with a fluorescently labeled antibody directed against the N-terminal His-tag attached to these proteins. The optimized assay protocol reported here allows for the identification of SH3-interactions with high reproducibility and adequate signal-to-background and signal-to-noise ratios, as well as the quantitative determination of relative binding affinities.

摘要

细胞信号转导过程的分析越来越注重于对完整蛋白质相互作用网络的系统描述。理解信号成分的相互作用可以深入了解多种疾病(如癌症)的分子基础,为有针对性的治疗方法的合理设计铺平道路。蛋白质相互作用通常由保守的模块域介导,例如 SH3 结构域,它可以识别其同源配体中的脯氨酸丰富序列。在本研究中,评估了不同的微阵列格式(反应性硅烷单层和玻璃载玻片上的硝酸纤维素)和测定工作流程,以开发基于微阵列的筛选测定法,该方法可可靠地鉴定某些靶蛋白与一组 SH3 结构域之间的相互作用。作为 GST 融合蛋白产生和纯化的 9 个代表性 SH3 结构域被点样在微阵列基质上,并与两种经过充分表征的配体(HIV-1 的 Nef 蛋白和人类蛋白 Sam68)进行探测。从这些低密度模型阵列中获得的最佳结果是使用硝酸纤维素载玻片获得的。我们表明,通过用针对这些蛋白质上连接的 N 端 His 标签的荧光标记抗体进行染色,可以实现对配体结合的直接且高度稳健的检测。这里报道的优化测定法协议允许以高重复性和足够的信号背景比和信号噪声比来鉴定 SH3 相互作用,并定量确定相对结合亲和力。

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