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多酶限性消化:蛋白质组学的下一代测序技术?

Multi-Enzymatic Limited Digestion: The Next-Generation Sequencing for Proteomics?

机构信息

Mass Spectrometry Laboratory, MolSys Research Unit , University of Liege , Liege 4000 , Belgium.

GIGA Proteomics Facility , University of Liege , Liege 4000 , Belgium.

出版信息

J Proteome Res. 2019 Jun 7;18(6):2501-2513. doi: 10.1021/acs.jproteome.9b00044. Epub 2019 May 10.

DOI:10.1021/acs.jproteome.9b00044
PMID:31046285
Abstract

Over the past 40 years, proteomics, generically defined as the field dedicated to the identification and analysis of proteins, has tremendously gained in popularity and potency through advancements in genome sequencing, separative techniques, mass spectrometry, and bioinformatics algorithms. As a consequence, its scope of application has gradually enlarged and diversified to meet specialized topical biomedical subjects. Although the tryptic bottom-up approach is widely regarded as the gold standard for rapid screening of complex samples, its application for precise and confident mapping of protein modifications is often hindered due to partial sequence coverage, poor redundancy in indicative peptides, and lack of method flexibility. We here show how the synergic and time-limited action of a properly diluted mix of multiple enzymes can be exploited in a versatile yet straightforward protocol to alleviate present-day drawbacks. Merging bottom-up and middle-down ideologies, our results highlight broad assemblies of overlapping peptides that enable refined and reliable characterizations of proteins, including variant identification, and their carried modifications, including post-translational modifications, truncations, and cleavages. Beyond this boost in performance, our methodology also offers efficient de novo sequencing capabilities, in view of which we here present a dedicated custom assembly algorithm.

摘要

在过去的 40 年中,蛋白质组学(一般定义为专门用于鉴定和分析蛋白质的领域)通过基因组测序、分离技术、质谱和生物信息学算法的进步,极大地提高了其普及度和影响力。因此,其应用范围逐渐扩大和多样化,以满足专门的主题生物医学领域的需求。尽管胰蛋白酶的自下而上方法被广泛认为是快速筛选复杂样品的黄金标准,但由于部分序列覆盖、指示肽的冗余性差以及缺乏方法灵活性,其在精确和可靠的蛋白质修饰映射方面的应用常常受到阻碍。我们在这里展示了如何在一个灵活而简单的协议中利用多种酶的适当稀释混合物的协同和限时作用来缓解当前的缺点。我们的结果融合了自下而上和中间向下的思想,突出了广泛的重叠肽组装,从而能够对蛋白质进行精细和可靠的表征,包括变体鉴定及其携带的修饰,包括翻译后修饰、截断和切割。除了性能提升之外,我们的方法还提供了有效的从头测序能力,为此我们在这里提出了一种专门的自定义组装算法。

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