Institute of Biochemistry, Department of Biology, ETH Zurich, CH-8093 Zurich, Switzerland.
J Proteomics. 2013 Aug 26;89:215-26. doi: 10.1016/j.jprot.2013.05.037. Epub 2013 Jun 7.
Systems biology studies require the capability to quantify with high precision proteins spanning a broad range of abundances across multiple samples. However, the broad range of protein expression in cells often precludes the detection of low-abundance proteins. Different sample processing techniques can be applied to increase proteome coverage. Among these, combinatorial (hexa)peptide ligand libraries (CPLLs) bound to solid matrices have been used to specifically capture and detect low-abundance proteins in complex samples. To assess whether CPLL capture can be applied in systems biology studies involving the precise quantitation of proteins across a multitude of samples, we evaluated its performance across the whole range of protein abundances in Saccharomyces cerevisiae. We used selected reaction monitoring assays for a set of target proteins covering a broad abundance range to quantitatively evaluate the precision of the approach and its capability to detect low-abundance proteins. Replicated CPLL-isolates showed an average variability of ~10% in the amount of the isolated proteins. The high reproducibility of the technique was not dependent on the abundance of the protein or the amount of beads used for the capture. However, the protein-to-bead ratio affected the enrichment of specific proteins. We did not observe a normalization effect of CPLL beads on protein abundances. However, CPLLs enriched for and depleted specific sets of proteins and thus changed the abundances of proteins from a whole proteome extract. This allowed the identification of ~400 proteins otherwise undetected in an untreated sample, under the experimental conditions used. CPLL capture is thus a useful tool to increase protein identifications in proteomic experiments, but it should be coupled to the analysis of untreated samples, to maximize proteome coverage. Our data also confirms that CPLL capture is reproducible and can be confidently used in quantitative proteomic experiments.
Combinatorial hexapeptide ligand libraries (CPLLs) bound to solid matrices have been proposed to specifically capture and detect low-abundance proteins in complex samples. To assess whether the CPLL capture can be confidently applied in systems biology studies involving the precise quantitation of proteins across a broad range of abundances and a multitude of samples, we evaluated its reproducibility and performance features. Using selected reaction monitoring assays for proteins covering the whole range of abundances we show that the technique is reproducible and compatible with quantitative proteomic studies. However, the protein-to-bead ratio affects the enrichment of specific proteins and CPLLs depleted specific sets of proteins from a whole proteome extract. Our results suggest that CPLL-based analyses should be coupled to the analysis of untreated samples, to maximize proteome coverage. Overall, our data confirms the applicability of CPLLs in systems biology research and guides the correct use of this technique.
系统生物学研究需要能够高精度地定量分析跨越多个样本的广泛丰度范围的蛋白质。然而,细胞中广泛的蛋白质表达范围通常排除了低丰度蛋白质的检测。可以应用不同的样品处理技术来增加蛋白质组覆盖范围。其中,组合(六肽)配体文库(CPLL)结合到固体基质上已被用于特异性捕获和检测复杂样品中的低丰度蛋白质。为了评估 CPLL 捕获是否可应用于涉及大量样本中多种蛋白质的精确定量的系统生物学研究,我们在酿酒酵母的整个蛋白质丰度范围内评估了其性能。我们使用一系列靶蛋白的选择反应监测测定法,这些靶蛋白的丰度范围很广,以定量评估该方法的精度及其检测低丰度蛋白的能力。经过重复的 CPLL 分离,所分离的蛋白质的量平均变化约为 10%。该技术的高重复性不依赖于蛋白质的丰度或用于捕获的珠子的数量。然而,蛋白质与珠子的比例影响特定蛋白质的富集。我们没有观察到 CPLL 珠子对蛋白质丰度的归一化效应。然而,CPLL 富集和耗尽了特定的蛋白质集,从而改变了整个蛋白质组提取物中的蛋白质丰度。这使得在使用的实验条件下,能够鉴定约 400 种在未经处理的样品中未检测到的蛋白质。因此,CPLL 捕获是增加蛋白质组学实验中蛋白质鉴定的有用工具,但应与未处理样品的分析相结合,以最大限度地提高蛋白质组覆盖范围。我们的数据还证实,CPLL 捕获是可重复的,可以在定量蛋白质组学实验中可靠地使用。
组合六肽配体文库(CPLL)结合到固体基质上已被提议用于特异性捕获和检测复杂样品中的低丰度蛋白质。为了评估 CPLL 捕获是否可在涉及广泛丰度范围和大量样本的蛋白质精确定量的系统生物学研究中可靠地应用,我们评估了其重现性和性能特征。我们使用涵盖整个丰度范围的蛋白质的选择反应监测测定法,表明该技术是可重复的,并且与定量蛋白质组学研究兼容。然而,蛋白质与珠子的比例影响特定蛋白质的富集,CPLL 从整个蛋白质组提取物中耗尽了特定的蛋白质集。我们的结果表明,基于 CPLL 的分析应与未处理样品的分析相结合,以最大限度地提高蛋白质组覆盖范围。总体而言,我们的数据证实了 CPLL 在系统生物学研究中的适用性,并指导了该技术的正确使用。