用于低投入蛋白质组学样品制备的数字微流控技术

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Small Methods Pub Date : 2025-01-01 Epub Date: 2024-08-29 DOI:10.1002/smtd.202400495
Max K Steinbach, Jan Leipert, Theo Matzanke, Andreas Tholey
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引用次数: 0

摘要

低投入蛋白质组学,也称为微米或纳米蛋白质组学,因其可以阐明稀有生物材料中的分子过程而越来越受欢迎。分析微量蛋白质(如来自低细胞数的蛋白质,甚至单细胞)的一个主要先决条件是要有高效的样品制备方法。数字微流控技术(DMF)是一种允许处理和操作低容量液体的技术,最近已被证明是解决低输入蛋白质组学挑战的一种强大而多用途的工具。本文概述了使用 DMF 进行蛋白质组学样品制备的最新进展。特别强调了 DMF 从细胞和小型模式生物体中分离蛋白质组的能力,以及在芯片上执行所有必要的化学样品制备步骤(如蛋白质变性和蛋白质分解)的能力。此外,还将讨论使这些步骤与液相色谱-质谱等后续分析方法兼容的主要先决条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Digital Microfluidics for Sample Preparation in Low-Input Proteomics.

Digital Microfluidics for Sample Preparation in Low-Input Proteomics.

Low-input proteomics, also referred to as micro- or nanoproteomics, has become increasingly popular as it allows one to elucidate molecular processes in rare biological materials. A major prerequisite for the analytics of minute protein amounts, e.g., derived from low cell numbers, down to single cells, is the availability of efficient sample preparation methods. Digital microfluidics (DMF), a technology allowing the handling and manipulation of low liquid volumes, has recently been shown to be a powerful and versatile tool to address the challenges in low-input proteomics. Here, an overview is provided on recent advances in proteomics sample preparation using DMF. In particular, the capability of DMF to isolate proteomes from cells and small model organisms, and to perform all necessary chemical sample preparation steps, such as protein denaturation and proteolytic digestion on-chip, are highlighted. Additionally, major prerequisites to making these steps compatible with follow-up analytical methods such as liquid chromatography-mass spectrometry will be discussed.

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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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