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Immunoproteomics Using Polyclonal Antibodies and Stable Isotope-labeled Affinity-purified Recombinant Proteins

机译:使用多克隆抗体和稳定的同位素标记的亲和纯化的重组蛋白的免疫蛋白质组学

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摘要

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.
机译:基于免疫的方法和质谱检测的结合在定量蛋白质组学领域具有巨大的潜力。在这里,我们描述了一种基于多克隆抗体和稳定同位素标记的重组蛋白片段的复杂样品中蛋白质绝对定量的新方法(免疫SILAC),可以在质谱分析和准确定量之前进行亲和富集。我们利用了可从人类蛋白质图谱项目中公开获得的抗体资源,该抗体覆盖了所有人类蛋白质编码基因的80%以上。表位作图显示大多数多克隆抗体可识别多个线性表位,并基于这些结果,开发了一种半自动化方法,用于利用固定在蛋白A包被的磁珠上的多克隆抗体进行肽富集。基于同时多重捕获40多个蛋白质靶标的方案显示,大约一半的抗体富集了至少一种在随后的质谱分析中检测到的功能性肽。通过胰蛋白酶消化之前,通过添加重同位素标记的重组蛋白片段标准品,该方法得到了进一步发展,从而也产生了定量数据。在这里,我们表明我们能够以这种方式使用少量抗体(每个靶标50 ng),以有效地多重分析人类HeLa细胞裂解液中蛋白质的定量水平。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目标肽的富集,从而可以利用样品复杂性的大幅降​​低来进行快速质谱分析。讨论了基于可公开获得的抗体资源建立全蛋白质组免疫SILAC分析资源的可能性。

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