MaxQuant 计算平台用于基于质谱的鸟枪法蛋白质组学。

The MaxQuant computational platform for mass spectrometry-based shotgun proteomics.

机构信息

Computational Systems Biochemistry, Max-Planck Institute for Biochemistry, Martinsried, Germany.

出版信息

Nat Protoc. 2016 Dec;11(12):2301-2319. doi: 10.1038/nprot.2016.136. Epub 2016 Oct 27.

Abstract

MaxQuant is one of the most frequently used platforms for mass-spectrometry (MS)-based proteomics data analysis. Since its first release in 2008, it has grown substantially in functionality and can be used in conjunction with more MS platforms. Here we present an updated protocol covering the most important basic computational workflows, including those designed for quantitative label-free proteomics, MS1-level labeling and isobaric labeling techniques. This protocol presents a complete description of the parameters used in MaxQuant, as well as of the configuration options of its integrated search engine, Andromeda. This protocol update describes an adaptation of an existing protocol that substantially modifies the technique. Important concepts of shotgun proteomics and their implementation in MaxQuant are briefly reviewed, including different quantification strategies and the control of false-discovery rates (FDRs), as well as the analysis of post-translational modifications (PTMs). The MaxQuant output tables, which contain information about quantification of proteins and PTMs, are explained in detail. Furthermore, we provide a short version of the workflow that is applicable to data sets with simple and standard experimental designs. The MaxQuant algorithms are efficiently parallelized on multiple processors and scale well from desktop computers to servers with many cores. The software is written in C# and is freely available at http://www.maxquant.org.

摘要

MaxQuant 是最常用于基于质谱 (MS) 的蛋白质组学数据分析的平台之一。自 2008 年首次发布以来,它在功能上有了很大的发展,可以与更多的 MS 平台结合使用。在这里,我们提供了一个更新的协议,涵盖了最重要的基本计算工作流程,包括用于定量无标签蛋白质组学、MS1 水平标记和同重标记技术的工作流程。该协议全面介绍了 MaxQuant 中使用的参数以及其集成搜索引擎 Andromeda 的配置选项。此协议更新描述了对现有协议的改编,该协议对技术进行了实质性修改。简要回顾了 shotgun 蛋白质组学的重要概念及其在 MaxQuant 中的实现,包括不同的定量策略和错误发现率 (FDR) 的控制,以及翻译后修饰 (PTM) 的分析。详细解释了包含有关蛋白质和 PTM 定量信息的 MaxQuant 输出表。此外,我们提供了适用于具有简单和标准实验设计的数据集的工作流程的简短版本。MaxQuant 算法在多个处理器上高效并行化,并且可以很好地从台式计算机扩展到具有许多内核的服务器。该软件用 C#编写,可在 http://www.maxquant.org 上免费获得。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索