On the potential of micro-flow LC-MS/MS in proteomics.

IF 3.8 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Yangyang Bian, Chunli Gao, Bernhard Kuster
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引用次数: 15

Abstract

Introduction: Due to its excellent sensitivity, nano-flow liquid chromatography tandem mass spectrometry (LC-MS/MS) is the mainstay in proteome research; however, this comes at the expense of limited throughput and robustness. In contrast, micro-flow LC-MS/MS enables high-throughput, robustness, quantitative reproducibility, and precision while retaining a moderate degree of sensitivity. Such features make it an attractive technology for a wide range of proteomic applications. In particular, large-scale projects involving the analysis of hundreds to thousands of samples.

Areas covered: This review summarizes the history of chromatographic separation in discovery proteomics with a focus on micro-flow LC-MS/MS, discusses the current state-of-the-art, highlights advances in column development and instrumentation, and provides guidance on which LC flow best supports different types of proteomic applications.

Expert opinion: Micro-flow LC-MS/MS will replace nano-flow LC-MS/MS in many proteomic applications, particularly when sample quantities are not limited and sample cohorts are large. Examples include clinical analyses of body fluids, tissues, drug discovery and chemical biology investigations, plus systems biology projects across all kingdoms of life. When combined with rapid and sensitive MS, intelligent data acquisition, and informatics approaches, it will soon become possible to analyze large cohorts of more than 10,000 samples in a comprehensive and fully quantitative fashion.

微流LC-MS/MS技术在蛋白质组学研究中的应用前景。
纳米流液相色谱串联质谱(LC-MS/MS)由于其优异的灵敏度,是蛋白质组学研究的主流;然而,这是以有限的吞吐量和健壮性为代价的。相比之下,微流LC-MS/MS具有高通量、稳健性、定量重现性和精度,同时保持适度的灵敏度。这些特点使其成为一种有吸引力的技术,用于广泛的蛋白质组学应用。特别是涉及分析数百到数千个样本的大型项目。本综述总结了发现蛋白质组学色谱分离的历史,重点是微流LC-MS/MS,讨论了当前最先进的技术,重点介绍了色谱柱开发和仪器的进展,并提供了LC流最佳支持不同类型蛋白质组学应用的指导。专家意见:微流LC-MS/MS将在许多蛋白质组学应用中取代纳米流LC-MS/MS,特别是在样品数量不受限制和样品队列很大的情况下。例子包括体液、组织的临床分析、药物发现和化学生物学研究,以及跨越所有生命领域的系统生物学项目。当与快速灵敏的质谱、智能数据采集和信息学方法相结合时,很快就可以以全面和充分定量的方式分析超过10,000个样本的大型队列。
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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来源期刊
Expert Review of Proteomics
Expert Review of Proteomics 生物-生化研究方法
CiteScore
7.60
自引率
0.00%
发文量
20
审稿时长
6-12 weeks
期刊介绍: Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease. The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale Article highlights - an executive summary cutting to the author''s most critical points.
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