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本文引用的文献

1
The interface between biomarker discovery and clinical validation: The tar pit of the protein biomarker pipeline.生物标志物发现与临床验证之间的界面:蛋白质生物标志物流程中的焦油坑。
Proteomics Clin Appl. 2008 Oct 1;2(10-11):1386-1402. doi: 10.1002/prca.200780174.
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The path to personalized medicine.个性化医疗之路。
N Engl J Med. 2010 Jul 22;363(4):301-4. doi: 10.1056/NEJMp1006304. Epub 2010 Jun 15.
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International network of cancer genome projects.国际癌症基因组计划网络。
Nature. 2010 Apr 15;464(7291):993-8. doi: 10.1038/nature08987.
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Towards the development of an immuno MALDI (iMALDI) mass spectrometry assay for the diagnosis of hypertension.朝着开发一种免疫 MALDI(iMALDI)质谱测定法以用于高血压诊断的方向发展。
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Approaches to biomarkers in human colorectal cancer: looking back, to go forward.人类结直肠癌生物标志物的研究方法:回顾过去,展望未来。
Biomark Med. 2009 Aug 1;3(4):385-396. doi: 10.2217/BMM.09.33.
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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.
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Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1.整合基因组分析确定了具有 PDGFRA、IDH1、EGFR 和 NF1 异常的胶质母细胞瘤的临床相关亚型。
Cancer Cell. 2010 Jan 19;17(1):98-110. doi: 10.1016/j.ccr.2009.12.020.
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Workflow comparison for label-free, quantitative secretome proteomics for cancer biomarker discovery: method evaluation, differential analysis, and verification in serum.无标记、定量分泌组蛋白质组学在癌症生物标志物发现中的工作流程比较:方法评估、血清中的差异分析和验证。
J Proteome Res. 2010 Apr 5;9(4):1913-22. doi: 10.1021/pr901072h.
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Enabling individualized therapy through nanotechnology.通过纳米技术实现个体化治疗。
Pharmacol Res. 2010 Aug;62(2):57-89. doi: 10.1016/j.phrs.2009.12.011. Epub 2010 Jan 5.
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Integration of proteomic-based tools for improved biomarkers of myocardial injury.基于蛋白质组学工具的整合,以提高心肌损伤的生物标志物。
Clin Chem. 2010 Feb;56(2):194-201. doi: 10.1373/clinchem.2009.127878. Epub 2009 Dec 18.

通过引入多重反应监测质谱法重建管道以验证癌症生物标志物:NCI-CPTC 计划的观点。

Reconstructing the pipeline by introducing multiplexed multiple reaction monitoring mass spectrometry for cancer biomarker verification: an NCI-CPTC initiative perspective.

机构信息

Office of Cancer Clinical Proteomics Research, Center for Strategic Scientific Initiative, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

出版信息

Proteomics Clin Appl. 2010 Dec;4(12):904-14. doi: 10.1002/prca.201000057. Epub 2010 Nov 22.

DOI:10.1002/prca.201000057
PMID:21137031
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4035121/
Abstract

Proteomics holds great promise in personalized medicine for cancer in the post-genomic era. In the past decade, clinical proteomics has significantly evolved in terms of technology development, optimization and standardization, as well as in advanced bioinformatics data integration and analysis. Great strides have been made for characterizing a large number of proteins qualitatively and quantitatively in a proteome, including the use of sample fractionation, protein microarrays and MS. It is believed that differential proteomic analysis of high-quality clinical biospecimen (tissue and biofluids) can potentially reveal protein/peptide biomarkers responsible for cancer by means of their altered levels of expression and/or PTMs. Multiple reaction monitoring, a multiplexed platform using stable isotope dilution-MS with sensitivity and reproducibility approaching that of traditional ELISAs commonly used in the clinical setting, has emerged as a potentially promising technique for next-generation high-throughput protein biomarker measurements for diagnostics and therapeutics.

摘要

蛋白质组学在后基因组时代的癌症个性化医学中具有巨大的应用前景。在过去的十年中,临床蛋白质组学在技术发展、优化和标准化方面,以及在先进的生物信息学数据集成和分析方面都取得了显著的进展。通过使用样品分馏、蛋白质微阵列和 MS 等方法,对蛋白质组中的大量蛋白质进行定性和定量的描述已经取得了很大的进展。人们相信,对高质量临床生物样本(组织和生物流体)的差异蛋白质组学分析可以通过其改变的表达水平和/或 PTM 来揭示与癌症相关的蛋白质/肽生物标志物。多重反应监测是一种使用稳定同位素稀释-MS 的多重平台,其灵敏度和重现性接近传统 ELISA,通常用于临床环境,已成为下一代高通量蛋白质生物标志物诊断和治疗的潜在有前途的技术。