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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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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. |
format | Online Article Text |
id | pubmed-9552229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
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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