Suppr超能文献

基于质谱的蛋白质组学简介。

Introduction to Mass Spectrometry-Based Proteomics.

作者信息

Matthiesen Rune, Bunkenborg Jakob

机构信息

Computational and Experimental Biology Group, CEDOC, Chronic Diseases Research Centre, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisboa, Portugal.

Alphalyse, Odense M, Denmark.

出版信息

Methods Mol Biol. 2020;2051:1-58. doi: 10.1007/978-1-4939-9744-2_1.

Abstract

Mass spectrometry, a technology to determine the mass of ionized molecules and biomolecules, is increasingly applied for the global identification and quantification of proteins. Proteomics applies mass spectrometry in many applications, and each application requires consideration of analytical choices, instrumental limitations and data processing steps. These depend on the aim of the study and means of conducting it. Choosing the right combination of sample preparation, MS instrumentation, and data processing allows exploration of different aspects of the proteome. This chapter gives an outline for some of these commonly used setups and some of the key concepts, many of which later chapters discuss in greater depth. Understanding and handling mass spectrometry data is a multifaceted task that requires many user decisions to obtain the most comprehensive information from an MS experiment. Later chapters in this book deal in-depth with various aspects of the process and how different tools addresses the many analytical challenges. This chapter revises the basic concept in mass spectrometry (MS)-based proteomics.

摘要

质谱分析法是一种用于确定离子化分子和生物分子质量的技术,越来越多地应用于蛋白质的全面鉴定和定量分析。蛋白质组学在许多应用中都使用质谱分析法,并且每个应用都需要考虑分析选择、仪器限制和数据处理步骤。这些取决于研究目的和实施手段。选择样品制备、质谱仪器和数据处理的正确组合,能够探索蛋白质组的不同方面。本章概述了一些常用的设置和一些关键概念,其中许多将在后续章节中进行更深入的讨论。理解和处理质谱数据是一项多方面的任务,需要用户做出许多决策,以便从质谱实验中获得最全面的信息。本书的后续章节将深入探讨该过程的各个方面,以及不同工具如何应对众多分析挑战。本章将回顾基于质谱(MS)的蛋白质组学的基本概念。

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

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验