基于数据依赖性(MS1)和数据非依赖性(MS2)获取的多重蛋白酶消化的ErbB2肿瘤受体的无标记定量和定位

International journal of proteomics Pub Date : 2013-01-01 Epub Date: 2013-04-04 DOI:10.1155/2013/791985
Jason M Held, Birgit Schilling, Alexandria K D'Souza, Tara Srinivasan, Jessica B Behring, Dylan J Sorensen, Christopher C Benz, Bradford W Gibson
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引用次数: 25

摘要

受体酪氨酸激酶ErbB2是一种乳腺癌生物标志物,其翻译后修饰(PTMs)是其激活的关键指标。通过选择性反应监测(SRM)质谱法定量ErbB2等生物标志物的表达和PTMs存在一些局限性,包括覆盖范围小和检测开发时间长。因此,我们评估了两种高分辨率,全扫描质谱方法MS1滤波和SWATH MS2的实用性,用于靶向ErbB2蛋白质组学。从SK-BR-3细胞免疫沉淀的内源性ErbB2用胰蛋白酶、凝乳胰蛋白酶、Asp-N或胰蛋白酶+ Asp-N凝胶消化,一式三次。使用AB SCIEX TripleTOF 5600和MS1滤波数据处理进行数据依赖采集,以评估肽和PTM的覆盖率以及酶消化的可重复性。数据独立采集(SWATH)也用于MS2定量。MS1过滤和SWATH MS2允许在采集后对所有检测到的分析物进行定量,从而可以使用多种蛋白酶对目标蛋白进行定量评估。将高分辨率蛋白质组学与多蛋白酶酶切相结合,可以实现ErbB2的定量定位,具有良好的再现性,提高了氨基酸序列和PTM覆盖率,与典型的SRM分析相比,缩短了分析开发时间。这些结果表明,高分辨率定量蛋白质组学方法是靶向生物标志物定量的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Label-Free Quantitation and Mapping of the ErbB2 Tumor Receptor by Multiple Protease Digestion with Data-Dependent (MS1) and Data-Independent (MS2) Acquisitions.

The receptor tyrosine kinase ErbB2 is a breast cancer biomarker whose posttranslational modifications (PTMs) are a key indicator of its activation. Quantifying the expression and PTMs of biomarkers such as ErbB2 by selected reaction monitoring (SRM) mass spectrometry has several limitations, including minimal coverage and extensive assay development time. Therefore, we assessed the utility of two high resolution, full scan mass spectrometry approaches, MS1 Filtering and SWATH MS2, for targeted ErbB2 proteomics. Endogenous ErbB2 immunoprecipitated from SK-BR-3 cells was in-gel digested with trypsin, chymotrypsin, Asp-N, or trypsin plus Asp-N in triplicate. Data-dependent acquisition with an AB SCIEX TripleTOF 5600 and MS1 Filtering data processing was used to assess peptide and PTM coverage as well as the reproducibility of enzyme digestion. Data-independent acquisition (SWATH) was also performed for MS2 quantitation. MS1 Filtering and SWATH MS2 allow quantitation of all detected analytes after acquisition, enabling the use of multiple proteases for quantitative assessment of target proteins. Combining high resolution proteomics with multiprotease digestion enabled quantitative mapping of ErbB2 with excellent reproducibility, improved amino acid sequence and PTM coverage, and decreased assay development time compared to typical SRM assays. These results demonstrate that high resolution quantitative proteomic approaches are an effective tool for targeted biomarker quantitation.

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