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Mass Spectrometry-Based Structural Analysis of Cysteine-Rich Metal-Binding Sites in Proteins with MetaOdysseus R Software
[Image: see text] Identification of metal-binding sites in proteins and understanding metal-coupled protein folding mechanisms are aspects of high importance for the structure-to-function relationship. Mass spectrometry (MS) has brought a powerful adjunct perspective to structural biology, obtaining...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786378/ https://www.ncbi.nlm.nih.gov/pubmed/32924499 http://dx.doi.org/10.1021/acs.jproteome.0c00651 |
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author | Peris-Díaz, Manuel David Guran, Roman Zitka, Ondrej Adam, Vojtech Krężel, Artur |
author_facet | Peris-Díaz, Manuel David Guran, Roman Zitka, Ondrej Adam, Vojtech Krężel, Artur |
author_sort | Peris-Díaz, Manuel David |
collection | PubMed |
description | [Image: see text] Identification of metal-binding sites in proteins and understanding metal-coupled protein folding mechanisms are aspects of high importance for the structure-to-function relationship. Mass spectrometry (MS) has brought a powerful adjunct perspective to structural biology, obtaining from metal-to-protein stoichiometry to quaternary structure information. Currently, the different experimental and/or instrumental setups usually require the use of multiple data analysis software, and in some cases, they lack some of the main data analysis steps (MS processing, scoring, identification). Here, we present a comprehensive data analysis pipeline that addresses charge-state deconvolution, statistical scoring, and mass assignment for native MS, bottom-up, and native top-down with emphasis on metal–protein complexes. We have evaluated all of the approaches using assemblies of increasing complexity, including free and chemically labeled proteins, from low- to high-resolution MS. In all cases, the results have been compared with common software and proved how MetaOdysseus outperformed them. |
format | Online Article Text |
id | pubmed-7786378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-77863782021-01-07 Mass Spectrometry-Based Structural Analysis of Cysteine-Rich Metal-Binding Sites in Proteins with MetaOdysseus R Software Peris-Díaz, Manuel David Guran, Roman Zitka, Ondrej Adam, Vojtech Krężel, Artur J Proteome Res [Image: see text] Identification of metal-binding sites in proteins and understanding metal-coupled protein folding mechanisms are aspects of high importance for the structure-to-function relationship. Mass spectrometry (MS) has brought a powerful adjunct perspective to structural biology, obtaining from metal-to-protein stoichiometry to quaternary structure information. Currently, the different experimental and/or instrumental setups usually require the use of multiple data analysis software, and in some cases, they lack some of the main data analysis steps (MS processing, scoring, identification). Here, we present a comprehensive data analysis pipeline that addresses charge-state deconvolution, statistical scoring, and mass assignment for native MS, bottom-up, and native top-down with emphasis on metal–protein complexes. We have evaluated all of the approaches using assemblies of increasing complexity, including free and chemically labeled proteins, from low- to high-resolution MS. In all cases, the results have been compared with common software and proved how MetaOdysseus outperformed them. American Chemical Society 2020-09-14 2021-01-01 /pmc/articles/PMC7786378/ /pubmed/32924499 http://dx.doi.org/10.1021/acs.jproteome.0c00651 Text en This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Peris-Díaz, Manuel David Guran, Roman Zitka, Ondrej Adam, Vojtech Krężel, Artur Mass Spectrometry-Based Structural Analysis of Cysteine-Rich Metal-Binding Sites in Proteins with MetaOdysseus R Software |
title | Mass Spectrometry-Based
Structural Analysis of Cysteine-Rich
Metal-Binding Sites in Proteins with MetaOdysseus R Software |
title_full | Mass Spectrometry-Based
Structural Analysis of Cysteine-Rich
Metal-Binding Sites in Proteins with MetaOdysseus R Software |
title_fullStr | Mass Spectrometry-Based
Structural Analysis of Cysteine-Rich
Metal-Binding Sites in Proteins with MetaOdysseus R Software |
title_full_unstemmed | Mass Spectrometry-Based
Structural Analysis of Cysteine-Rich
Metal-Binding Sites in Proteins with MetaOdysseus R Software |
title_short | Mass Spectrometry-Based
Structural Analysis of Cysteine-Rich
Metal-Binding Sites in Proteins with MetaOdysseus R Software |
title_sort | mass spectrometry-based
structural analysis of cysteine-rich
metal-binding sites in proteins with metaodysseus r software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786378/ https://www.ncbi.nlm.nih.gov/pubmed/32924499 http://dx.doi.org/10.1021/acs.jproteome.0c00651 |
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