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

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...

Full description

Saved in:
Bibliographic Details
Published in:Journal of proteome research 2020-03, Vol.19 (3), p.1147-1153
Main Authors: Pino, Lindsay K, Searle, Brian C, Yang, Han-Yin, Hoofnagle, Andrew N, Noble, William S, MacCoss, Michael J
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1535-3893
1535-3907
DOI:10.1021/acs.jproteome.9b00666