去除蛋白质组样品中的 NHS 标记副产物

Yana Demyanenko, Andrew M. Giltrap, Benjamin G. Davis, Shabaz Mohammed
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引用次数: 0

摘要

N-羟基琥珀酰亚胺(NHS)酯化学被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(用于相对和绝对定量的等压标记)和 TMT(串联质量标记)方法。在这些方法中,通过相应的 NHS 酯试剂形成的酰胺(N-衍生物)对赖氨酸残基的伯胺和胰蛋白酶肽的 N 端进行标记是预期的反应结果。不过,NHS 酯作为活化羧基的作用也能推动丝氨酸、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,在定量时会被忽略,从而导致信息丢失,进而影响潜在的灵敏度。它们的存在还会不必要地增加样品的复杂性,从而降低总体鉴定率。去除这些不需要的标记事件的一种常见方法是使用羟胺淬火。我们在此表明,这种方法并不完全有效,仍然会留下大量不需要的过度标记肽。通过系统地筛选亲核氨解试剂和反应条件,我们现在已经开发出了一种高效去除过标记肽的可靠方法。新方法可将样品中的过标记肽比例降至 1%以下,同时不影响标记率或引入其他修饰,从而实现更高的鉴定率和定量精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Removal of NHS-labelling by-products in Proteomic Samples
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 the iTRAQ (isobaric tags for relative and absolute quantitation) and TMT (tandem mass tag) approaches. In these methods, labelling 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 over-labelled and are disregarded for quantification, 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 labelling events has involved a quench with hydroxylamine. We show here that this approach is not fully efficient and can still leave substantial levels of unwanted over-labelled peptides. Through systematic screening of nucleophilic aminolysis reagents and reaction conditions, we have now developed a robust method to efficiently remove over-labelled peptides. The new method reduces the proportion of over-labelled peptides in the sample to less than 1% without affecting the labelling rate or introducing other modifications, leading to superior identification rates and quantitation precision.
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