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Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry
Proteomics has exposed a plethora of posttranslational modifications, but demonstrating functional relevance requires new approaches. Top-down proteomics of intact proteins has the potential to fully characterize protein modifications in terms of amount, site(s), and the order in which they are depo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Biochemistry and Molecular Biology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099777/ https://www.ncbi.nlm.nih.gov/pubmed/33711480 http://dx.doi.org/10.1016/j.mcpro.2021.100070 |
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author | Brunner, Andrea M. Lössl, Philip Geurink, Paul P. Ovaa, Huib Albanese, P. Altelaar, A.F. Maarten Heck, Albert J.R. Scheltema, Richard A. |
author_facet | Brunner, Andrea M. Lössl, Philip Geurink, Paul P. Ovaa, Huib Albanese, P. Altelaar, A.F. Maarten Heck, Albert J.R. Scheltema, Richard A. |
author_sort | Brunner, Andrea M. |
collection | PubMed |
description | Proteomics has exposed a plethora of posttranslational modifications, but demonstrating functional relevance requires new approaches. Top-down proteomics of intact proteins has the potential to fully characterize protein modifications in terms of amount, site(s), and the order in which they are deposited on the protein; information that so far has been elusive to extract by shotgun proteomics. Data acquisition and analysis of intact multimodified proteins have however been a major challenge, in particular for positional isomers that carry the same number of modifications at different sites. Solutions were previously proposed to extract this information from fragmentation spectra, but these have so far mainly been limited to peptides and have entailed a large degree of manual interpretation. Here, we apply high-resolution Orbitrap fusion top-down analyses in combination with bioinformatics approaches to attempt to characterize multiple modified proteins and quantify positional isomers. Automated covalent fragment ion type definition, detection of mass precision and accuracy, and extensive use of replicate spectra increase sequence coverage and drive down false fragment assignments from 10% to 1.5%. Such improved performance in fragment assignment is key to localize and quantify modifications from fragment spectra. The method is tested by investigating positional isomers of Ubiquitin mixed in known concentrations, which results in quantification of high ratios at very low standard errors of the mean (<5%), as well as with synthetic phosphorylated peptides. Application to multiphosphorylated Bora provides an estimation of the so far unknown stoichiometry of the known set of phosphosites and uncovers new sites from hyperphosphorylated Bora. |
format | Online Article Text |
id | pubmed-8099777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-80997772021-05-13 Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry Brunner, Andrea M. Lössl, Philip Geurink, Paul P. Ovaa, Huib Albanese, P. Altelaar, A.F. Maarten Heck, Albert J.R. Scheltema, Richard A. Mol Cell Proteomics Technological Innovation and Resources Proteomics has exposed a plethora of posttranslational modifications, but demonstrating functional relevance requires new approaches. Top-down proteomics of intact proteins has the potential to fully characterize protein modifications in terms of amount, site(s), and the order in which they are deposited on the protein; information that so far has been elusive to extract by shotgun proteomics. Data acquisition and analysis of intact multimodified proteins have however been a major challenge, in particular for positional isomers that carry the same number of modifications at different sites. Solutions were previously proposed to extract this information from fragmentation spectra, but these have so far mainly been limited to peptides and have entailed a large degree of manual interpretation. Here, we apply high-resolution Orbitrap fusion top-down analyses in combination with bioinformatics approaches to attempt to characterize multiple modified proteins and quantify positional isomers. Automated covalent fragment ion type definition, detection of mass precision and accuracy, and extensive use of replicate spectra increase sequence coverage and drive down false fragment assignments from 10% to 1.5%. Such improved performance in fragment assignment is key to localize and quantify modifications from fragment spectra. The method is tested by investigating positional isomers of Ubiquitin mixed in known concentrations, which results in quantification of high ratios at very low standard errors of the mean (<5%), as well as with synthetic phosphorylated peptides. Application to multiphosphorylated Bora provides an estimation of the so far unknown stoichiometry of the known set of phosphosites and uncovers new sites from hyperphosphorylated Bora. American Society for Biochemistry and Molecular Biology 2021-03-10 /pmc/articles/PMC8099777/ /pubmed/33711480 http://dx.doi.org/10.1016/j.mcpro.2021.100070 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Technological Innovation and Resources Brunner, Andrea M. Lössl, Philip Geurink, Paul P. Ovaa, Huib Albanese, P. Altelaar, A.F. Maarten Heck, Albert J.R. Scheltema, Richard A. Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry |
title | Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry |
title_full | Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry |
title_fullStr | Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry |
title_full_unstemmed | Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry |
title_short | Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry |
title_sort | quantifying positional isomers (qpi) by top-down mass spectrometry |
topic | Technological Innovation and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099777/ https://www.ncbi.nlm.nih.gov/pubmed/33711480 http://dx.doi.org/10.1016/j.mcpro.2021.100070 |
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