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本文引用的文献

1
Development of glycoprotein capture-based label-free method for the high-throughput screening of differential glycoproteins in hepatocellular carcinoma.基于糖蛋白捕获的无标记方法的开发,用于高通量筛选肝癌中的差异糖蛋白。
Mol Cell Proteomics. 2011 Jul;10(7):M110.006445. doi: 10.1074/mcp.M110.006445. Epub 2011 Apr 7.
2
Lung cancer serum biomarker discovery using label-free liquid chromatography-tandem mass spectrometry.使用无标记液相色谱-串联质谱法发现肺癌血清生物标志物。
J Thorac Oncol. 2011 Apr;6(4):725-34. doi: 10.1097/JTO.0b013e31820c312e.
3
Lung cancer serum biomarker discovery using glycoprotein capture and liquid chromatography mass spectrometry.利用糖蛋白捕获和液相色谱-质谱联用技术发现肺癌血清生物标志物。
J Proteome Res. 2010 Dec 3;9(12):6440-9. doi: 10.1021/pr100696n. Epub 2010 Oct 28.
4
Comparative shotgun proteomics using spectral count data and quasi-likelihood modeling.基于谱计数数据和拟似然模型的比较鸟枪法蛋白质组学研究
J Proteome Res. 2010 Aug 6;9(8):4295-305. doi: 10.1021/pr100527g.
5
Efficacy of cetuximab in the treatment of Menetrier's disease.西妥昔单抗治疗巨大肥厚性胃炎的疗效。
Sci Transl Med. 2009 Nov 25;1(8):8ra18. doi: 10.1126/scitranslmed.3000320.
6
Repeatability and reproducibility in proteomic identifications by liquid chromatography-tandem mass spectrometry.液相色谱-串联质谱法在蛋白质组学鉴定中的可重复性和可再现性。
J Proteome Res. 2010 Feb 5;9(2):761-76. doi: 10.1021/pr9006365.
7
Interlaboratory study characterizing a yeast performance standard for benchmarking LC-MS platform performance.用于基准 LC-MS 平台性能的酵母性能标准的实验室间研究。
Mol Cell Proteomics. 2010 Feb;9(2):242-54. doi: 10.1074/mcp.M900222-MCP200. Epub 2009 Oct 26.
8
Multi-site assessment of the precision and reproducibility of multiple reaction monitoring-based measurements of proteins in plasma.基于多反应监测的血浆蛋白质测量的精密度和重现性的多中心评估。
Nat Biotechnol. 2009 Jul;27(7):633-41. doi: 10.1038/nbt.1546. Epub 2009 Jun 28.
9
IDPicker 2.0: Improved protein assembly with high discrimination peptide identification filtering.IDPicker 2.0:通过高分辨率肽段鉴定筛选实现蛋白质组装的改进
J Proteome Res. 2009 Aug;8(8):3872-81. doi: 10.1021/pr900360j.
10
Equivalence of protein inventories obtained from formalin-fixed paraffin-embedded and frozen tissue in multidimensional liquid chromatography-tandem mass spectrometry shotgun proteomic analysis.多维液相色谱-串联质谱 shotgun 蛋白质组分析中,从福尔马林固定石蜡包埋和冷冻组织中获得的蛋白质组学数据的等效性。
Mol Cell Proteomics. 2009 Aug;8(8):1988-98. doi: 10.1074/mcp.M800518-MCP200. Epub 2009 May 24.

深入的非小细胞肺癌蛋白质组学分析,以发现分子靶点和候选生物标志物。

In-depth proteomic analysis of nonsmall cell lung cancer to discover molecular targets and candidate biomarkers.

机构信息

Division of Hematology and Oncology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.

出版信息

Mol Cell Proteomics. 2012 Oct;11(10):916-32. doi: 10.1074/mcp.M111.015370. Epub 2012 Jul 3.

DOI:10.1074/mcp.M111.015370
PMID:22761400
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3494148/
Abstract

Advances in proteomic analysis of human samples are driving critical aspects of biomarker discovery and the identification of molecular pathways involved in disease etiology. Toward that end, in this report we are the first to use a standardized shotgun proteomic analysis method for in-depth tissue protein profiling of the two major subtypes of nonsmall cell lung cancer and normal lung tissues. We identified 3621 proteins from the analysis of pooled human samples of squamous cell carcinoma, adenocarcinoma, and control specimens. In addition to proteins previously shown to be implicated in lung cancer, we have identified new pathways and multiple new differentially expressed proteins of potential interest as therapeutic targets or diagnostic biomarkers, including some that were not identified by transcriptome profiling. Up-regulation of these proteins was confirmed by multiple reaction monitoring mass spectrometry. A subset of these proteins was found to be detectable and differentially present in the peripheral blood of cases and matched controls. Label-free shotgun proteomic analysis allows definition of lung tumor proteomes, identification of biomarker candidates, and potential targets for therapy.

摘要

蛋白质组学分析技术在人类样本中的进展正在推动生物标志物发现和疾病病因相关分子途径鉴定的关键方面。为此,在本报告中,我们首次使用标准化的鸟枪法蛋白质组学分析方法对非小细胞肺癌的两个主要亚型和正常肺组织进行深入的组织蛋白分析。我们从鳞状细胞癌、腺癌和对照标本的混合人样本分析中鉴定出 3621 种蛋白质。除了先前被认为与肺癌有关的蛋白质外,我们还鉴定出了新的途径和多个具有潜在治疗靶点或诊断生物标志物意义的差异表达蛋白,包括一些未通过转录组谱分析鉴定的蛋白。这些蛋白质的上调通过多重反应监测质谱法得到了确认。其中一部分蛋白质被发现可以在病例和匹配对照的外周血中检测到并存在差异。无标记的鸟枪法蛋白质组学分析可定义肺癌肿瘤蛋白质组、鉴定生物标志物候选物和治疗的潜在靶点。