Addressing NHS Chemistry: Efficient Quenching of Excess TMT Reagent and Reversing TMT Overlabeling in Proteomic Samples by Methylamine.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Yana Demyanenko, Xintong Sui, Andrew M Giltrap, Benjamin G Davis, Bernhard Kuster, Shabaz Mohammed
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引用次数: 0

Abstract

N-hydroxysuccinimide (NHS) ester chemistry is used extensively across proteomics sample preparation. One of its increasingly prevalent applications is in isobaric reagent-based quantitation such as isobaric tags for relative and absolute quantitation and tandem mass tag approaches. In these methods, labeling on the primary amines of lysine residues and N termini of tryptic peptides via amide formation (N-derivatives) from corresponding NHS ester reagents is the intended reactive outcome. However, the role of NHS esters as activated carboxyls can also drive the formation of serine-, tyrosine-, and threonine-derived esters (O-derivatives). These O-derivative peptides are typically classed as overlabeled and are disregarded for quantitation, leading to loss of information and hence potential sensitivity. Their presence also unnecessarily increases sample complexity, which reduces the overall identification rates. One common approach for removing these unwanted labeling events has involved treatment with hydroxylamine. We show here that this approach is not efficient and can still leave substantial levels of unwanted overlabeled peptides. Through systematic study of nucleophilic aminolysis reagents and reaction conditions, we have now developed a robust method to efficiently remove overlabeled peptides. The new method reduces the proportion of overlabeled peptides in the sample to less than 1% without affecting the labeling rate or introducing other modifications, leading to superior identification rates and quantitation precision.

解决 NHS 化学问题:高效淬灭过量的 TMT 试剂,用甲胺逆转蛋白质组样品中的 TMT 过度标记。
n -羟基琥珀酰亚胺(NHS)酯化学广泛应用于蛋白质组学样品制备。其日益普遍的应用之一是基于等压试剂的定量,如iTRAQ(相对和绝对定量的等压标签)和TMT(串联质量标签)方法。在这些方法中,通过相应的NHS酯试剂形成酰胺(n衍生物)标记赖氨酸残基的初级胺和色氨酸肽的n端是预期的反应结果。然而,NHS酯作为活化羧基的作用也可以驱动丝氨酸、酪氨酸和苏氨酸衍生酯(o -衍生物)的形成。这些o -衍生物肽通常被归类为过度标记,并且在定量时被忽略,导致信息丢失,从而导致潜在的敏感性。它们的存在也不必要地增加了样本的复杂性,从而降低了总体识别率。消除这些不需要的标记事件的一种常见方法涉及羟胺治疗。我们在这里表明,这种方法是不有效的,仍然可以留下大量的不需要的过标记肽。通过对亲核氨解试剂和反应条件的系统研究,我们现在已经开发出一种有效去除过标记肽的稳健方法。新方法在不影响标记率或引入其他修饰的情况下,将样品中过标记肽的比例降低到1%以下,从而提高了鉴定率和定量精度。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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