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Addressing the Protease Bias in Quantitative Proteomics

[Image: see text] Protein quantification strategies using multiple proteases have been shown to deliver poor interprotease accuracy in label-free mass spectrometry experiments. By utilizing six different proteases with different cleavage sites, this study explores the protease bias and its effect on...

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Autores principales: Woessmann, Jakob, Kotol, David, Hober, Andreas, Uhlén, Mathias, Edfors, Fredrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552229/
https://www.ncbi.nlm.nih.gov/pubmed/36044728
http://dx.doi.org/10.1021/acs.jproteome.2c00491
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author Woessmann, Jakob
Kotol, David
Hober, Andreas
Uhlén, Mathias
Edfors, Fredrik
author_facet Woessmann, Jakob
Kotol, David
Hober, Andreas
Uhlén, Mathias
Edfors, Fredrik
author_sort Woessmann, Jakob
collection PubMed
description [Image: see text] Protein quantification strategies using multiple proteases have been shown to deliver poor interprotease accuracy in label-free mass spectrometry experiments. By utilizing six different proteases with different cleavage sites, this study explores the protease bias and its effect on accuracy and precision by using recombinant protein standards. We established 557 SRM assays, using a recombinant protein standard resource, toward 10 proteins in human plasma and determined their concentration with multiple proteases. The quantified peptides of these plasma proteins spanned 3 orders of magnitude (0.02–70 μM). In total, 60 peptides were used for absolute quantification and the majority of the peptides showed high robustness. The retained reproducibility was achieved by quantifying plasma proteins using spiked stable isotope standard recombinant proteins in a targeted proteomics workflow.
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spelling pubmed-95522292022-10-12 Addressing the Protease Bias in Quantitative Proteomics Woessmann, Jakob Kotol, David Hober, Andreas Uhlén, Mathias Edfors, Fredrik J Proteome Res [Image: see text] Protein quantification strategies using multiple proteases have been shown to deliver poor interprotease accuracy in label-free mass spectrometry experiments. By utilizing six different proteases with different cleavage sites, this study explores the protease bias and its effect on accuracy and precision by using recombinant protein standards. We established 557 SRM assays, using a recombinant protein standard resource, toward 10 proteins in human plasma and determined their concentration with multiple proteases. The quantified peptides of these plasma proteins spanned 3 orders of magnitude (0.02–70 μM). In total, 60 peptides were used for absolute quantification and the majority of the peptides showed high robustness. The retained reproducibility was achieved by quantifying plasma proteins using spiked stable isotope standard recombinant proteins in a targeted proteomics workflow. American Chemical Society 2022-08-31 2022-10-07 /pmc/articles/PMC9552229/ /pubmed/36044728 http://dx.doi.org/10.1021/acs.jproteome.2c00491 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Woessmann, Jakob
Kotol, David
Hober, Andreas
Uhlén, Mathias
Edfors, Fredrik
Addressing the Protease Bias in Quantitative Proteomics
title Addressing the Protease Bias in Quantitative Proteomics
title_full Addressing the Protease Bias in Quantitative Proteomics
title_fullStr Addressing the Protease Bias in Quantitative Proteomics
title_full_unstemmed Addressing the Protease Bias in Quantitative Proteomics
title_short Addressing the Protease Bias in Quantitative Proteomics
title_sort addressing the protease bias in quantitative proteomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552229/
https://www.ncbi.nlm.nih.gov/pubmed/36044728
http://dx.doi.org/10.1021/acs.jproteome.2c00491
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