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通过肽阵列靶点筛选系统鉴定SH3结构域介导的人类蛋白质-蛋白质相互作用

Systematic identification of SH3 domain-mediated human protein-protein interactions by peptide array target screening.

作者信息

Wu Chenggang, Ma Mike Haiting, Brown Kevin R, Geisler Matt, Li Lei, Tzeng Eve, Jia Christina Y H, Jurisica Igor, Li Shawn S-C

机构信息

Department of Biochemistry and the Siebens-Drake Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada.

出版信息

Proteomics. 2007 Jun;7(11):1775-85. doi: 10.1002/pmic.200601006.

Abstract

Systematic identification of direct protein-protein interactions is often hampered by difficulties in expressing and purifying the corresponding full-length proteins. By taking advantage of the modular nature of many regulatory proteins, we attempted to simplify protein-protein interactions to the corresponding domain-ligand recognition and employed peptide arrays to identify such binding events. A group of 12 Src homology (SH) 3 domains from eight human proteins (Swiss-Prot ID: SRC, PLCG1, P85A, NCK1, GRB2, FYN, CRK) were used to screen a peptide target array composed of 1536 potential ligands, which led to the identification of 921 binary interactions between these proteins and 284 targets. To assess the efficiency of the peptide array target screening (PATS) method in identifying authentic protein-protein interactions, we examined a set of interactions mediated by the PLCgamma1 SH3 domain by coimmunoprecipitation and/or affinity pull-downs using full-length proteins and achieved a 75% success rate. Furthermore, we characterized a novel interaction between PLCgamma1 and hematopoietic progenitor kinase 1 (HPK1) identified by PATS and demonstrated that the PLCgamma1 SH3 domain negatively regulated HPK1 kinase activity. Compared to protein interactions listed in the online predicted human interaction protein database (OPHID), the majority of interactions identified by PATS are novel, suggesting that, when extended to the large number of peptide interaction domains encoded by the human genome, PATS should aid in the mapping of the human interactome.

摘要

直接蛋白质-蛋白质相互作用的系统鉴定常常因相应全长蛋白质的表达和纯化困难而受阻。利用许多调节蛋白的模块化性质,我们试图将蛋白质-蛋白质相互作用简化为相应的结构域-配体识别,并采用肽阵列来鉴定此类结合事件。使用来自8种人类蛋白质(瑞士蛋白质数据库ID:SRC、PLCG1、P85A、NCK1、GRB2、FYN、CRK)的一组12个Src同源(SH)3结构域,对由1536个潜在配体组成的肽靶标阵列进行筛选,从而鉴定出这些蛋白质与284个靶标之间的921种二元相互作用。为了评估肽阵列靶标筛选(PATS)方法在鉴定真实蛋白质-蛋白质相互作用方面的效率,我们通过使用全长蛋白质进行共免疫沉淀和/或亲和拉下实验,检测了一组由PLCγ1 SH3结构域介导的相互作用,成功率达到75%。此外,我们对通过PATS鉴定出的PLCγ1与造血祖细胞激酶1(HPK1)之间的新型相互作用进行了表征,并证明PLCγ1 SH3结构域对HPK1激酶活性具有负调节作用。与在线预测的人类相互作用蛋白质数据库(OPHID)中列出的蛋白质相互作用相比,PATS鉴定出的大多数相互作用都是新的,这表明,当扩展到人类基因组编码的大量肽相互作用结构域时,PATS应该有助于绘制人类相互作用组图谱。

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