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基于非靶向液相色谱-质谱联用技术在复杂生物基质中发现肽段的样品制备技术

Sample preparation techniques for the untargeted LC-MS-based discovery of peptides in complex biological matrices.

作者信息

Finoulst Inez, Pinkse Martijn, Van Dongen William, Verhaert Peter

机构信息

Laboratory for Analytical Biotechnology and Innovative Peptide Biology, Department of Biotechnology, Delft University of Technology, Julianalaan 67, 3706 AV Zeist, The Netherlands.

出版信息

J Biomed Biotechnol. 2011;2011:245291. doi: 10.1155/2011/245291. Epub 2011 Dec 12.

Abstract

Although big progress has been made in sample pretreatment over the last years, there are still considerable limitations when it comes to overcoming complexity and dynamic range problems associated with peptide analyses from biological matrices. Being the little brother of proteomics, peptidomics is a relatively new field of research aiming at the direct analysis of the small proteins, called peptides, many of which are not amenable for typical trypsin-based analytics. In this paper, we present an overview of different techniques and methods currently used for reducing a sample's complexity and for concentrating low abundant compounds to enable successful peptidome analysis. We focus on techniques which can be employed prior to liquid chromatography coupled to mass spectrometry for peptide detection and identification and indicate their advantages as well as their shortcomings when it comes to the untargeted analysis of native peptides from complex biological matrices.

摘要

尽管在过去几年中样品预处理取得了很大进展,但在克服与生物基质中肽分析相关的复杂性和动态范围问题方面仍存在相当大的局限性。作为蛋白质组学的“小老弟”,肽组学是一个相对较新的研究领域,旨在直接分析称为肽的小蛋白质,其中许多肽不适用于典型的基于胰蛋白酶的分析方法。在本文中,我们概述了目前用于降低样品复杂性和浓缩低丰度化合物以实现成功的肽组分析的不同技术和方法。我们重点关注可在液相色谱-质谱联用之前用于肽检测和鉴定的技术,并指出它们在对复杂生物基质中的天然肽进行非靶向分析时的优点和缺点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73e6/3238806/e8049d9d2a1c/JBB2011-245291.001.jpg

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