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用于评估定量蛋白质组学分析性能指标的基质匹配校准曲线。

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

机构信息

Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.

Department of Laboratory Medicine, University of Washington, Seattle, Washington 98195, United States.

出版信息

J Proteome Res. 2020 Mar 6;19(3):1147-1153. doi: 10.1021/acs.jproteome.9b00666. Epub 2020 Feb 24.

DOI:10.1021/acs.jproteome.9b00666
PMID:32037841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7175947/
Abstract

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.

摘要

质谱分析是一种强大的工具,可用于定量复杂样品中的蛋白质丰度。样品制备的进步和数据非依赖性采集(DIA)质谱分析方法的发展,增加了每个样品中可测量的肽和蛋白质的数量。在这里,我们展示了一系列实验,证明了如何通过质谱分析来评估肽测量是否定量。我们的结果表明,在蛋白质组学实验中增加检测到的肽的数量并不一定导致可定量测量的肽的数量增加。

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Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry.色谱库通过数据非依赖性采集质谱提高肽检测和定量。
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