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组合肽文库促进了低丰度蛋白质的多重反应监测分析方法的开发。

Combinatorial peptide libraries facilitate development of multiple reaction monitoring assays for low-abundance proteins.

机构信息

Samuel Lunenfeld Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.

出版信息

J Proteome Res. 2010 Mar 5;9(3):1236-45. doi: 10.1021/pr900729g.

Abstract

Low-abundance proteins present in biological fluids are often considered an attractive source of new disease biomarkers. Since such proteins are poorly observed in proteome-scale discovery experiments due to an overwhelming mass of high-abundance proteins, the development of quantitative multiple reaction monitoring (MRM) assays for low-abundance proteins is a challenging task. Here, we present a strategy that facilitates the development of MRM assays for large numbers of unpurified low-abundance proteins. Our discovery strategy is based on the reduction of the dynamic range of protein concentrations in biological fluids by means of one-bead one-compound combinatorial peptide libraries (CPL). Our 2D-LC-MS/MS approach allowed us to identify a total of 484 unique proteins in ovarian cancer ascites, and 216 proteins were assigned as low-abundance ones. Interestingly, 74 of those proteins have never been previously described in ascites fluid. Treatment with CPL allowed identification of a significantly higher number of unique peptides for low-abundance proteins and provided important empirical fragmentation information for development of MRM assays. Finally, we confirmed that MRM assays worked for 30 low-abundance proteins in the unfractionated ascites digest. Using a multiplexed MRM method, relative amounts of five proteins (kallikrein 6, metalloproteinase inhibitor 1, macrophage migration inhibitory factor, follistatin-related protein, and mesothelin) were determined in a set of ovarian cancer ascites. Multiplexed MRM assays targeting large numbers of proteins can be used to develop comprehensive panels of biomarkers with high sensitivity and selectivity, and to study complex protein networks.

摘要

生物体液中低丰度蛋白质通常被认为是新疾病生物标志物的有吸引力的来源。由于这些蛋白质在蛋白质组规模的发现实验中由于大量高丰度蛋白质而难以观察到,因此开发用于低丰度蛋白质的定量多重反应监测 (MRM) 测定法是一项具有挑战性的任务。在这里,我们提出了一种策略,可促进大量未纯化的低丰度蛋白质的 MRM 测定法的开发。我们的发现策略基于通过单珠单化合物组合肽文库 (CPL) 降低生物体液中蛋白质浓度的动态范围。我们的 2D-LC-MS/MS 方法总共在卵巢癌腹水鉴定了 484 种独特蛋白质,其中 216 种被鉴定为低丰度蛋白质。有趣的是,其中 74 种蛋白质以前从未在腹水中描述过。CPL 的处理允许为低丰度蛋白质鉴定出数量显著增加的独特肽,并为开发 MRM 测定法提供了重要的经验性片段化信息。最后,我们证实了 MRM 测定法在未分级的腹水消化物中适用于 30 种低丰度蛋白质。使用多重 MRM 方法,在一组卵巢癌腹水中测定了五种蛋白质(激肽释放酶 6、金属蛋白酶抑制剂 1、巨噬细胞移动抑制因子、卵泡抑素相关蛋白和间皮素)的相对量。针对大量蛋白质的多重 MRM 测定法可用于开发具有高灵敏度和选择性的综合生物标志物面板,并研究复杂的蛋白质网络。

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