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本文引用的文献

1
Expediting SRM assay development for large-scale targeted proteomics experiments.加快用于大规模靶向蛋白质组学实验的SRM分析方法开发。
J Proteome Res. 2014 Oct 3;13(10):4479-87. doi: 10.1021/pr500500d. Epub 2014 Sep 4.
2
The identification of novel potential injury mechanisms and candidate biomarkers in renal allograft rejection by quantitative proteomics.通过定量蛋白质组学鉴定肾移植排斥反应中新型潜在损伤机制和候选生物标志物。
Mol Cell Proteomics. 2014 Feb;13(2):621-31. doi: 10.1074/mcp.M113.030577. Epub 2013 Dec 12.
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Advancing the sensitivity of selected reaction monitoring-based targeted quantitative proteomics.提高基于选择反应监测的靶向定量蛋白质组学的灵敏度。
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4
CONSeQuence: prediction of reference peptides for absolute quantitative proteomics using consensus machine learning approaches.CONSeQuence:使用共识机器学习方法预测绝对定量蛋白质组学的参考肽。
Mol Cell Proteomics. 2011 Nov;10(11):M110.003384. doi: 10.1074/mcp.M110.003384. Epub 2011 Aug 3.
5
Rapid verification of candidate serological biomarkers using gel-based, label-free multiple reaction monitoring.使用基于凝胶的无标记多重反应监测技术快速验证候选血清生物标志物。
J Proteome Res. 2011 Sep 2;10(9):4005-17. doi: 10.1021/pr2002098. Epub 2011 Jul 26.
6
A targeted proteomics-based pipeline for verification of biomarkers in plasma.基于靶向蛋白质组学的血浆生物标志物验证策略。
Nat Biotechnol. 2011 Jun 19;29(7):625-34. doi: 10.1038/nbt.1900.
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Quantitative, high-resolution proteomics for data-driven systems biology.基于数据驱动的系统生物学的定量、高分辨率蛋白质组学。
Annu Rev Biochem. 2011;80:273-99. doi: 10.1146/annurev-biochem-061308-093216.
8
Systematic quantification of peptides/proteins in urine using selected reaction monitoring.采用选择反应监测法对尿液中的肽/蛋白质进行系统定量。
Proteomics. 2011 Mar;11(6):1135-47. doi: 10.1002/pmic.201000599. Epub 2011 Feb 16.
9
Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.Skyline:用于创建和分析靶向蛋白质组学实验的开源文档编辑器。
Bioinformatics. 2010 Apr 1;26(7):966-8. doi: 10.1093/bioinformatics/btq054. Epub 2010 Feb 9.
10
High-throughput generation of selected reaction-monitoring assays for proteins and proteomes.高通量生成用于蛋白质和蛋白质组的选择反应监测分析方法。
Nat Methods. 2010 Jan;7(1):43-6. doi: 10.1038/nmeth.1408. Epub 2009 Dec 6.

基于液相色谱-串联质谱的尿液蛋白质生物标志物靶向定量分析

LC-SRM-Based Targeted Quantification of Urinary Protein Biomarkers.

作者信息

Gao Yuqian, Wang Hui, Nicora Carrie D, Shi Tujin, Smith Richard D, Sigdel Tara K, Sarwal Minnie M, Camp David G, Qian Wei-Jun

机构信息

Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.

The Department of Surgery, University of California San Francisco, San Francisco, CA, USA.

出版信息

Methods Mol Biol. 2018;1788:145-156. doi: 10.1007/7651_2017_93.

DOI:10.1007/7651_2017_93
PMID:29116567
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7224550/
Abstract

Liquid chromatography (LC)-selected reaction monitoring (SRM) is a powerful protein quantification technique in terms of sensitivity, reproducibility, and multiplexing capability. LC-SRM can accurately measure the concentrations of surrogate proteotypic peptides for targeted proteins in complex biological samples by using their stable heavy isotope-labeled counterparts as internal standards. Herein, we describe a step-by-step protocol of the application of LC-SRM to quantify candidate protein biomarkers in human urine.

摘要

液相色谱(LC)-选择反应监测(SRM)在灵敏度、重现性和多重分析能力方面是一种强大的蛋白质定量技术。LC-SRM可以通过使用稳定的重同位素标记的对应物作为内标,准确测量复杂生物样品中目标蛋白质的替代蛋白型肽段的浓度。在此,我们描述了应用LC-SRM定量人尿液中候选蛋白质生物标志物的详细步骤方案。