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Matrix-Matched Calibration Curves for Assessing Analytical Figures of Merit in Quantitative Proteomics
Lindsay K Pino1, Brian C Searle1, Han-Yin Yang1
1Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
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.
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