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本文引用的文献

1
Analysis of serum total and free PSA using immunoaffinity depletion coupled to SRM: correlation with clinical immunoassay tests.采用免疫亲和层析结合 SRM 分析血清总 PSA 和游离 PSA:与临床免疫测定试验的相关性。
J Proteomics. 2012 Aug 3;75(15):4747-57. doi: 10.1016/j.jprot.2012.01.035. Epub 2012 Feb 13.
2
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。
Proteomics. 2012 Apr;12(8):1074-92. doi: 10.1002/pmic.201100436.
3
Selected reaction monitoring mass spectrometry reveals the dynamics of signaling through the GRB2 adaptor.选择反应监测质谱法揭示了 GRB2 衔接子信号转导的动态变化。
Nat Biotechnol. 2011 Jun 26;29(7):653-8. doi: 10.1038/nbt.1905.
4
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.
5
A pipeline that integrates the discovery and verification of plasma protein biomarkers reveals candidate markers for cardiovascular disease.一个整合了血浆蛋白质生物标志物的发现和验证的流水线揭示了心血管疾病的候选标志物。
Nat Biotechnol. 2011 Jun 19;29(7):635-43. doi: 10.1038/nbt.1899.
6
Reversed-phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells.采用反相色谱多重馏分串联策略对人 MCF10A 细胞进行蛋白质组谱分析。
Proteomics. 2011 May;11(10):2019-26. doi: 10.1002/pmic.201000722. Epub 2011 Apr 18.
7
Mutant proteins as cancer-specific biomarkers.突变蛋白作为癌症特异性生物标志物。
Proc Natl Acad Sci U S A. 2011 Feb 8;108(6):2444-9. doi: 10.1073/pnas.1019203108. Epub 2011 Jan 19.
8
A quantitative targeted proteomics approach to validate predicted microRNA targets in C. elegans.一种定量靶向蛋白质组学方法,用于验证秀丽隐杆线虫中预测的 microRNA 靶标。
Nat Methods. 2010 Oct;7(10):837-42. doi: 10.1038/nmeth.1504. Epub 2010 Sep 12.
9
Targeted quantitation of site-specific cysteine oxidation in endogenous proteins using a differential alkylation and multiple reaction monitoring mass spectrometry approach.采用差异烷基化和多重反应监测质谱法靶向定量内源性蛋白质中特定半胱氨酸氧化。
Mol Cell Proteomics. 2010 Jul;9(7):1400-10. doi: 10.1074/mcp.M900643-MCP200. Epub 2010 Mar 16.
10
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.

无抗体、靶向的质谱定量分析方法,可在人血浆/血清中低至皮克/毫升级别的蛋白质进行定量分析。

Antibody-free, targeted mass-spectrometric approach for quantification of proteins at low picogram per milliliter levels in human plasma/serum.

机构信息

Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.

出版信息

Proc Natl Acad Sci U S A. 2012 Sep 18;109(38):15395-400. doi: 10.1073/pnas.1204366109. Epub 2012 Sep 4.

DOI:10.1073/pnas.1204366109
PMID:22949669
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3458402/
Abstract

Sensitive detection of low-abundance proteins in complex biological samples has typically been achieved by immunoassays that use antibodies specific to target proteins; however, de novo development of antibodies is associated with high costs, long development lead times, and high failure rates. To address these challenges, we developed an antibody-free strategy that involves PRISM (high-pressure, high-resolution separations coupled with intelligent selection and multiplexing) for sensitive selected reaction monitoring (SRM)-based targeted protein quantification. The strategy capitalizes on high-resolution reversed-phase liquid chromatographic separations for analyte enrichment, intelligent selection of target fractions via on-line SRM monitoring of internal standards, and fraction multiplexing before nano-liquid chromatography-SRM quantification. Application of this strategy to human plasma/serum demonstrated accurate and reproducible quantification of proteins at concentrations in the 50-100 pg/mL range, which represents a major advance in the sensitivity of targeted protein quantification without the need for specific-affinity reagents. Application to a set of clinical serum samples illustrated an excellent correlation between the results obtained from the PRISM-SRM assay and those from clinical immunoassay for the prostate-specific antigen level.

摘要

在复杂的生物样本中,对低丰度蛋白质的敏感检测通常是通过使用针对靶蛋白的特异性抗体的免疫测定来实现的;然而,从头开发抗体与高成本、长开发周期和高失败率相关。为了解决这些挑战,我们开发了一种无抗体的策略,该策略涉及 PRISM(高压、高分辨率分离与智能选择和多路复用),用于基于敏感选择反应监测(SRM)的靶向蛋白质定量。该策略利用高效液相色谱分离进行分析物富集,通过在线 SRM 监测内标对目标馏分进行智能选择,然后在纳流液相色谱-SRM 定量之前进行馏分多路复用。该策略在人血浆/血清中的应用证明了在 50-100 pg/mL 范围内的蛋白质浓度的准确和可重现的定量,这代表了在无需特异性亲和试剂的情况下靶向蛋白质定量的灵敏度的重大进展。对一组临床血清样本的应用表明,PRISM-SRM 测定获得的结果与前列腺特异性抗原水平的临床免疫测定结果之间具有极好的相关性。