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用于通过质谱对人血浆进行深度分析和生物标志物发现的定量、多重工作流程。

Quantitative, multiplexed workflow for deep analysis of human blood plasma and biomarker discovery by mass spectrometry.

作者信息

Keshishian Hasmik, Burgess Michael W, Specht Harrison, Wallace Luke, Clauser Karl R, Gillette Michael A, Carr Steven A

机构信息

Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

Massachusetts General Hospital, Boston, USA.

出版信息

Nat Protoc. 2017 Aug;12(8):1683-1701. doi: 10.1038/nprot.2017.054. Epub 2017 Jul 27.

Abstract

Proteomic characterization of blood plasma is of central importance to clinical proteomics and particularly to biomarker discovery studies. The vast dynamic range and high complexity of the plasma proteome have, however, proven to be serious challenges and have often led to unacceptable tradeoffs between depth of coverage and sample throughput. We present an optimized sample-processing pipeline for analysis of the human plasma proteome that provides greatly increased depth of detection, improved quantitative precision and much higher sample analysis throughput as compared with prior methods. The process includes abundant protein depletion, isobaric labeling at the peptide level for multiplexed relative quantification and ultra-high-performance liquid chromatography coupled to accurate-mass, high-resolution tandem mass spectrometry analysis of peptides fractionated off-line by basic pH reversed-phase (bRP) chromatography. The overall reproducibility of the process, including immunoaffinity depletion, is high, with a process replicate coefficient of variation (CV) of <12%. Using isobaric tags for relative and absolute quantitation (iTRAQ) 4-plex, >4,500 proteins are detected and quantified per patient sample on average, with two or more peptides per protein and starting from as little as 200 μl of plasma. The approach can be multiplexed up to 10-plex using tandem mass tags (TMT) reagents, further increasing throughput, albeit with some decrease in the number of proteins quantified. In addition, we provide a rapid protocol for analysis of nonfractionated depleted plasma samples analyzed in 10-plex. This provides ∼600 quantified proteins for each of the ten samples in ∼5 h of instrument time.

摘要

血浆的蛋白质组学表征对于临床蛋白质组学尤其是生物标志物发现研究至关重要。然而,血浆蛋白质组的巨大动态范围和高度复杂性已被证明是严峻的挑战,并且常常导致在覆盖深度和样品通量之间出现不可接受的权衡。我们提出了一种用于分析人类血浆蛋白质组的优化样品处理流程,与先前的方法相比,该流程提供了大大增加的检测深度、提高的定量精度和更高的样品分析通量。该过程包括去除丰富蛋白质、在肽水平进行等压标记以进行多重相对定量,以及超高效液相色谱与通过碱性pH反相(bRP)色谱离线分离的肽的精确质量、高分辨率串联质谱分析相结合。该过程的整体重现性很高,包括免疫亲和去除在内的过程重复变异系数(CV)<12%。使用相对和绝对定量等压标签(iTRAQ)4重试剂,每个患者样品平均可检测和定量>4500种蛋白质,每种蛋白质有两个或更多肽段,起始血浆量低至200μl。使用串联质谱标签(TMT)试剂,该方法可进行多达10重的多重分析,进一步提高通量,尽管定量的蛋白质数量会有所减少。此外,我们提供了一种快速方案,用于分析以10重进行分析的未分级耗尽血浆样品。这在约5小时的仪器时间内为十个样品中的每个样品提供约600种定量蛋白质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb6/6057147/444566284cad/nihms979745f1.jpg

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