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

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
{"title":"Label-Free Quantitation and Mapping of the ErbB2 Tumor Receptor by Multiple Protease Digestion with Data-Dependent (MS1) and Data-Independent (MS2) Acquisitions.","authors":"Jason M Held,&nbsp;Birgit Schilling,&nbsp;Alexandria K D'Souza,&nbsp;Tara Srinivasan,&nbsp;Jessica B Behring,&nbsp;Dylan J Sorensen,&nbsp;Christopher C Benz,&nbsp;Bradford W Gibson","doi":"10.1155/2013/791985","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":73474,"journal":{"name":"International journal of proteomics","volume":"2013 ","pages":"791985"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2013/791985","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2013/791985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2013/4/4 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25

Abstract

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.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Miniaturized Digestion and Extraction of Surface Proteins from Candida albicans following Treatment with Histatin 5 for Mass Spectrometry Analysis Comparative Proteomic Analysis of Differential Proteins in Response to Aqueous Extract of Quercus infectoria Gall in Methicillin-Resistant Staphylococcus aureus Optimization of Urea Based Protein Extraction from Formalin-Fixed Paraffin-Embedded Tissue for Shotgun Proteomics Label-Free Proteomic Analysis of Flavohemoglobin Deleted Strain of Saccharomyces cerevisiae S-Nitrosylation Proteome Profile of Peripheral Blood Mononuclear Cells in Human Heart Failure.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1