Mass Spectrometry-Based Protein Quantification

被引:10
|
作者
Chen, Yun [1 ]
Wang, Fuqiang [1 ]
Xu, Feifei [1 ]
Yang, Ting [1 ]
机构
[1] Nanjing Med Univ, Sch Pharm, 818 Tian Yuan East Rd, Nanjing 211166, Jiangsu, Peoples R China
关键词
Protein quantification bioinformatics; Quantitative signal processing; SAPRatio; MAXquant; Progenesis QI; APEX; Trans-Proteomic Pipeline (TPP); IsobariQ and Iquant; Targeted proteomics; PeptideAtlas; Skyline; ATAQS; QUANTITATIVE-ANALYSIS; SHOTGUN PROTEOMICS; SOFTWARE; TOOLS; PREDICTION; DISCOVERY; PEPTIDES; MAXQUANT; PIPELINE; ASSAYS;
D O I
10.1007/978-3-319-41448-5_15
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Quantification of individual proteins and even entire proteomes is an important theme in proteomics research. Quantitative proteomics is an approach to obtain quantitative information about proteins in a sample. Compared to qualitative or semi-quantitative proteomics, this approach can provide more insight into the effects of a specific stimulus, such as a change in the expression level of a protein and its posttranslational modifications, or to a panel of proposed biomarkers in a given disease state. Proteomics methodologies, along with a variety of bioinformatics approaches, are a major tool in quantitative proteomics. As the theory and technological aspects underlying the proteomics methodologies will be extensively described in Chap. 20, and protein identification as a prerequisite of quantification has been discussed in Chap. 17, we will focus on the quantitative proteomics bioinformatics algorithms and software tools in this chapter. Our goal is to provide researchers and newcomers a rational framework to select suitable bioinformatics tools for data analysis, interpretation, and integration in protein quantification. Before doing so, a brief overview of quantitative proteomics is provided.
引用
收藏
页码:255 / 279
页数:25
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