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本文引用的文献

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RNA Sequencing Identifies Novel Translational Biomarkers of Kidney Fibrosis.RNA测序鉴定出肾纤维化的新型翻译生物标志物。
J Am Soc Nephrol. 2016 Jun;27(6):1702-13. doi: 10.1681/ASN.2015020225. Epub 2015 Oct 8.
2
Non-invasive prognostic protein biomarker signatures associated with colorectal cancer.与结直肠癌相关的非侵入性预后蛋白质生物标志物特征
EMBO Mol Med. 2015 Sep;7(9):1153-65. doi: 10.15252/emmm.201404874.
3
State of the Human Proteome in 2014/2015 As Viewed through PeptideAtlas: Enhancing Accuracy and Coverage through the AtlasProphet.透过PeptideAtlas看2014/2015年人类蛋白质组状态:通过AtlasProphet提高准确性和覆盖率
J Proteome Res. 2015 Sep 4;14(9):3461-73. doi: 10.1021/acs.jproteome.5b00500. Epub 2015 Jul 24.
4
Applications of targeted proteomics in systems biology and translational medicine.靶向蛋白质组学在系统生物学和转化医学中的应用。
Proteomics. 2015 Sep;15(18):3193-208. doi: 10.1002/pmic.201500004. Epub 2015 Jul 16.
5
A century of cholesterol and coronaries: from plaques to genes to statins.胆固醇与冠心病的百年历程:从斑块到基因再到他汀类药物
Cell. 2015 Mar 26;161(1):161-172. doi: 10.1016/j.cell.2015.01.036.
6
Trans-Proteomic Pipeline, a standardized data processing pipeline for large-scale reproducible proteomics informatics.跨蛋白质组学管道,一种用于大规模可重复蛋白质组学信息学的标准化数据处理管道。
Proteomics Clin Appl. 2015 Aug;9(7-8):745-54. doi: 10.1002/prca.201400164. Epub 2015 Apr 2.
7
Panorama: a targeted proteomics knowledge base.全景图:一个靶向蛋白质组学知识库。
J Proteome Res. 2014 Sep 5;13(9):4205-10. doi: 10.1021/pr5006636. Epub 2014 Aug 18.
8
CPTAC Assay Portal: a repository of targeted proteomic assays.CPTAC检测门户:一个靶向蛋白质组学检测的知识库。
Nat Methods. 2014 Jul;11(7):703-4. doi: 10.1038/nmeth.3002.
9
Targeted peptide measurements in biology and medicine: best practices for mass spectrometry-based assay development using a fit-for-purpose approach.基于目的导向方法的适用于生物学和医学的基于质谱的检测法开发中靶向肽测量的最佳实践。
Mol Cell Proteomics. 2014 Mar;13(3):907-17. doi: 10.1074/mcp.M113.036095. Epub 2014 Jan 17.
10
Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins.展示大规模开发标准化检测方法以定量测定人体蛋白质的可行性。
Nat Methods. 2014 Feb;11(2):149-55. doi: 10.1038/nmeth.2763. Epub 2013 Dec 8.

人类SRM图谱:用于定量完整人类蛋白质组的靶向分析资源。

Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome.

作者信息

Kusebauch Ulrike, Campbell David S, Deutsch Eric W, Chu Caroline S, Spicer Douglas A, Brusniak Mi-Youn, Slagel Joseph, Sun Zhi, Stevens Jeffrey, Grimes Barbara, Shteynberg David, Hoopmann Michael R, Blattmann Peter, Ratushny Alexander V, Rinner Oliver, Picotti Paola, Carapito Christine, Huang Chung-Ying, Kapousouz Meghan, Lam Henry, Tran Tommy, Demir Emek, Aitchison John D, Sander Chris, Hood Leroy, Aebersold Ruedi, Moritz Robert L

机构信息

Institute for Systems Biology, Seattle, WA 98109, USA.

Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.

出版信息

Cell. 2016 Jul 28;166(3):766-778. doi: 10.1016/j.cell.2016.06.041. Epub 2016 Jul 21.

DOI:10.1016/j.cell.2016.06.041
PMID:27453469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5245710/
Abstract

The ability to reliably and reproducibly measure any protein of the human proteome in any tissue or cell type would be transformative for understanding systems-level properties as well as specific pathways in physiology and disease. Here, we describe the generation and verification of a compendium of highly specific assays that enable quantification of 99.7% of the 20,277 annotated human proteins by the widely accessible, sensitive, and robust targeted mass spectrometric method selected reaction monitoring, SRM. This human SRMAtlas provides definitive coordinates that conclusively identify the respective peptide in biological samples. We report data on 166,174 proteotypic peptides providing multiple, independent assays to quantify any human protein and numerous spliced variants, non-synonymous mutations, and post-translational modifications. The data are freely accessible as a resource at http://www.srmatlas.org/, and we demonstrate its utility by examining the network response to inhibition of cholesterol synthesis in liver cells and to docetaxel in prostate cancer lines.

摘要

能够在任何组织或细胞类型中可靠且可重复地测量人类蛋白质组中的任何蛋白质,对于理解生理和疾病中的系统水平特性以及特定途径将具有变革性意义。在此,我们描述了一组高度特异性检测方法的生成与验证,这些检测方法通过广泛可用、灵敏且稳健的靶向质谱方法——选择反应监测(SRM),能够对20,277种注释的人类蛋白质中的99.7%进行定量。这个人SRM图谱提供了明确的坐标,能够确凿地鉴定生物样品中的相应肽段。我们报告了关于166,174个蛋白质型肽段的数据,这些数据提供了多种独立检测方法来定量任何人类蛋白质以及众多剪接变体、非同义突变和翻译后修饰。这些数据可在http://www.srmatlas.org/ 上作为资源免费获取,并且我们通过研究肝细胞中胆固醇合成抑制以及前列腺癌细胞系中多西他赛的网络反应来证明其效用。