Smith Bradley J, Martins-de-Souza Daniel, Fioramonte Mariana
Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
Center for Neurobiology, University of Campinas (UNICAMP), Campinas, Brazil.
Methods Mol Biol. 2019;1916:3-39. doi: 10.1007/978-1-4939-8994-2_1.
Proteomics has become an attractive science in the postgenomic era, given its capacity to identify up to thousands of molecules in a single, complex sample and quantify them in an absolute and/or relative manner. The use of these techniques enables understanding of cellular and molecular mechanisms of diseases and other biological conditions, as well as identification and screening of protein biomarkers. Here we provide a straightforward, up-to-date compilation and comparison of the main quantitation techniques used in comparative proteomics such as in vitro and in vivo stable isotope labeling and label-free techniques. Additionally, this chapter includes common methods for data acquisition in proteomics and some appropriate methods for data processing. This compilation can serve as a reference for scientists who are new to, or already familiar with, quantitative proteomics.
蛋白质组学在基因组学时代之后已成为一门引人注目的学科，因为它能够在单个复杂样本中鉴定多达数千种分子，并以绝对和/或相对的方式对其进行定量。这些技术的应用有助于理解疾病和其他生物学状况的细胞和分子机制，以及蛋白质生物标志物的鉴定和筛选。在此，我们对比较蛋白质组学中使用的主要定量技术，如体外和体内稳定同位素标记以及无标记技术，进行了直接、最新的汇编和比较。此外，本章还包括蛋白质组学中数据采集的常用方法以及一些合适的数据处理方法。本汇编可为初涉定量蛋白质组学或已熟悉该领域的科学家提供参考。
