Matrix-Matched Calibration Curves for Assessing Analytical Figures of Merit in Quantitative Proteomics

被引:25
|
作者
Pino, Lindsay K. [1 ]
Searle, Brian C. [1 ]
Yang, Han-Yin [1 ]
Hoofnagle, Andrew N. [2 ]
Noble, William S. [1 ,3 ]
MacCoss, Michael J. [1 ]
机构
[1] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
[2] Univ Washington, Dept Lab Med, Seattle, WA 98195 USA
[3] Univ Washington, Dept Comp Sci & Engn, Seattle, WA 98195 USA
基金
美国国家卫生研究院;
关键词
quantitative proteomics; mass spectrometry; label-free quantification; calibration curve; figures of merit; PROTEINS;
D O I
10.1021/acs.jproteome.9b00666
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Mass spectrometry is a powerful tool for quantifying protein abundance in complex samples. Advances in sample preparation and the development of data-independent acquisition (DIA) mass spectrometry approaches have increased the number of peptides and proteins measured per sample. Here, we present a series of experiments demonstrating how to assess whether a peptide measurement is quantitative by mass spectrometry. Our results demonstrate that increasing the number of detected peptides in a proteomics experiment does not necessarily result in increased numbers of peptides that can be measured quantitatively.
引用
收藏
页码:1147 / 1153
页数:7
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