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使用多克隆抗体和稳定同位素标记的亲和纯化重组蛋白的免疫蛋白质组学。

Immunoproteomics using polyclonal antibodies and stable isotope-labeled affinity-purified recombinant proteins.

作者信息

Edfors Fredrik, Boström Tove, Forsström Björn, Zeiler Marlis, Johansson Henrik, Lundberg Emma, Hober Sophia, Lehtiö Janne, Mann Matthias, Uhlen Mathias

机构信息

From the ‡Science for Life Laboratory, KTH - Royal Institute of Technology, SE-171 21 Stockholm, Sweden;

¶Department of Proteomics, KTH - Royal Institute of Technology, SE-106 91 Stockholm, Sweden;

出版信息

Mol Cell Proteomics. 2014 Jun;13(6):1611-24. doi: 10.1074/mcp.M113.034140. Epub 2014 Apr 10.

Abstract

The combination of immuno-based methods and mass spectrometry detection has great potential in the field of quantitative proteomics. Here, we describe a new method (immuno-SILAC) for the absolute quantification of proteins in complex samples based on polyclonal antibodies and stable isotope-labeled recombinant protein fragments to allow affinity enrichment prior to mass spectrometry analysis and accurate quantification. We took advantage of the antibody resources publicly available from the Human Protein Atlas project covering more than 80% of all human protein-coding genes. Epitope mapping revealed that a majority of the polyclonal antibodies recognized multiple linear epitopes, and based on these results, a semi-automated method was developed for peptide enrichment using polyclonal antibodies immobilized on protein A-coated magnetic beads. A protocol based on the simultaneous multiplex capture of more than 40 protein targets showed that approximately half of the antibodies enriched at least one functional peptide detected in the subsequent mass spectrometry analysis. The approach was further developed to also generate quantitative data via the addition of heavy isotope-labeled recombinant protein fragment standards prior to trypsin digestion. Here, we show that we were able to use small amounts of antibodies (50 ng per target) in this manner for efficient multiplex analysis of quantitative levels of proteins in a human HeLa cell lysate. The results suggest that polyclonal antibodies generated via immunization of recombinant protein fragments could be used for the enrichment of target peptides to allow for rapid mass spectrometry analysis taking advantage of a substantial reduction in sample complexity. The possibility of building up a proteome-wide resource for immuno-SILAC assays based on publicly available antibody resources is discussed.

摘要

免疫方法与质谱检测相结合在定量蛋白质组学领域具有巨大潜力。在此,我们描述了一种新方法(免疫稳定同位素标记相对和绝对定量技术,immuno-SILAC),用于基于多克隆抗体和稳定同位素标记的重组蛋白片段对复杂样品中的蛋白质进行绝对定量,以便在质谱分析之前进行亲和富集和准确定量。我们利用了人类蛋白质图谱项目公开的抗体资源,这些资源覆盖了超过80%的人类蛋白质编码基因。表位作图显示,大多数多克隆抗体识别多个线性表位,基于这些结果,开发了一种半自动方法,使用固定在蛋白A包被磁珠上的多克隆抗体进行肽富集。一个基于同时多重捕获40多个蛋白质靶点的方案表明,大约一半的抗体在随后的质谱分析中富集到至少一个可检测的功能性肽段。该方法通过在胰蛋白酶消化之前添加重同位素标记的重组蛋白片段标准品进一步发展,以生成定量数据。在此,我们表明,我们能够以这种方式使用少量抗体(每个靶点50 ng)对人HeLa细胞裂解物中的蛋白质定量水平进行高效多重分析。结果表明,通过重组蛋白片段免疫产生的多克隆抗体可用于富集靶肽,从而利用样品复杂性的大幅降低进行快速质谱分析。本文还讨论了基于公开可用抗体资源构建用于免疫稳定同位素标记相对和绝对定量技术检测的全蛋白质组资源的可能性。

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