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微尺度反相液相色谱/毛细管区带电泳-串联质谱用于深度和高灵敏度的自上而下蛋白质组学:用 5 微克 MCF7 蛋白质组消化物鉴定 7500 种蛋白质。

Microscale Reversed-Phase Liquid Chromatography/Capillary Zone Electrophoresis-Tandem Mass Spectrometry for Deep and Highly Sensitive Bottom-Up Proteomics: Identification of 7500 Proteins with Five Micrograms of an MCF7 Proteome Digest.

机构信息

Department of Chemistry , Michigan State University , 578 S Shaw Lane , East Lansing , Michigan 48824 United States.

出版信息

Anal Chem. 2018 Sep 4;90(17):10479-10486. doi: 10.1021/acs.analchem.8b02466. Epub 2018 Aug 23.

Abstract

Capillary zone electrophoresis-tandem mass spectrometry (CZE-MS/MS) has been well recognized for bottom-up proteomics. It has approached 4000-8000 protein identifications (IDs) from a human cell line, mouse brains, or Xenopus embryos via coupling with liquid chromatography (LC) prefractionation. However, at least 500 μg of complex proteome digests were required for the LC/CZE-MS/MS studies. This requirement of a large amount of initial peptide material impedes the application of CZE-MS/MS for deep bottom-up proteomics of mass-limited samples. In this work, we coupled microscale reversed-phase LC (μRPLC)-based peptide prefractionation to dynamic pH-junction-based CZE-MS/MS for deep bottom-up proteomics of the MCF7 breast cancer cell proteome starting with only 5 μg of peptides. The dynamic pH-junction-based CZE enabled a 500 nL sample injection from as low as a 1.5 μL peptide sample, using up to 33% of the available peptide material for an analysis. Two kinds of μRPLC prefractionation were investigated, C18 ZipTip and nanoflow RPLC. C18 ZipTip/CZE-MS/MS identified 4453 proteins from 5 μg of the MCF7 proteome digest and showed good qualitative and quantitative reproducibility. Nanoflow RPLC/CZE-MS/MS produced over 7500 protein IDs and nearly 60 000 peptide IDs from the 5 μg of MCF7 proteome digest. The nanoflow RPLC/CZE-MS/MS platform reduced the required amount of complex proteome digests for LC/CZE-MS/MS-based deep bottom-up proteomics by 2 orders of magnitude. Our work provides the proteomics community with a powerful tool for deep and highly sensitive proteomics.

摘要

毛细管区带电泳-串联质谱(CZE-MS/MS)已被广泛认可用于从头蛋白质组学研究。通过与液相色谱(LC)预分级联用,它已经可以从人类细胞系、小鼠大脑或非洲爪蟾胚胎中鉴定出 4000-8000 种蛋白质。然而,LC/CZE-MS/MS 研究至少需要 500 μg 复杂蛋白质组消化物。这种对大量初始肽材料的需求阻碍了 CZE-MS/MS 在大规模限制样品的深度从头蛋白质组学中的应用。在这项工作中,我们将微尺度反相液相色谱(μRPLC)基础上的肽预分级与基于动态 pH 结的 CZE-MS/MS 耦合,从仅 5 μg 的肽开始对 MCF7 乳腺癌细胞蛋白质组进行深度从头蛋白质组学研究。基于动态 pH 结的 CZE 能够从低至 1.5 μL 的肽样品中进行 500 nL 的样品注入,使用多达 33%的可用肽材料进行分析。我们研究了两种 μRPLC 预分级,C18 ZipTip 和纳流 RPLC。C18 ZipTip/CZE-MS/MS 从 5 μg 的 MCF7 蛋白质组消化物中鉴定出 4453 种蛋白质,表现出良好的定性和定量重现性。纳流 RPLC/CZE-MS/MS 从 5 μg 的 MCF7 蛋白质组消化物中产生了超过 7500 种蛋白质 ID 和近 60000 种肽 ID。纳流 RPLC/CZE-MS/MS 平台将 LC/CZE-MS/MS 基础的深度从头蛋白质组学所需的复杂蛋白质组消化物的量减少了 2 个数量级。我们的工作为蛋白质组学社区提供了一种用于深度和高灵敏度蛋白质组学的强大工具。

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