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Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell
Significant recent advances in structural biology, particularly in the field of cryoelectron microscopy, have dramatically expanded our ability to create structural models of proteins and protein complexes. However, many proteins remain refractory to these approaches because of their low abundance,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151615/ https://www.ncbi.nlm.nih.gov/pubmed/37071682 http://dx.doi.org/10.1073/pnas.2219418120 |
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author | Bartolec, Tara K. Vázquez-Campos, Xabier Norman, Alexander Luong, Clement Johnson, Marcus Payne, Richard J. Wilkins, Marc R. Mackay, Joel P. Low, Jason K. K. |
author_facet | Bartolec, Tara K. Vázquez-Campos, Xabier Norman, Alexander Luong, Clement Johnson, Marcus Payne, Richard J. Wilkins, Marc R. Mackay, Joel P. Low, Jason K. K. |
author_sort | Bartolec, Tara K. |
collection | PubMed |
description | Significant recent advances in structural biology, particularly in the field of cryoelectron microscopy, have dramatically expanded our ability to create structural models of proteins and protein complexes. However, many proteins remain refractory to these approaches because of their low abundance, low stability, or—in the case of complexes—simply not having yet been analyzed. Here, we demonstrate the power of using cross-linking mass spectrometry (XL-MS) for the high-throughput experimental assessment of the structures of proteins and protein complexes. This included those produced by high-resolution but in vitro experimental data, as well as in silico predictions based on amino acid sequence alone. We present the largest XL-MS dataset to date, describing 28,910 unique residue pairs captured across 4,084 unique human proteins and 2,110 unique protein–protein interactions. We show that models of proteins and their complexes predicted by AlphaFold2, and inspired and corroborated by the XL-MS data, offer opportunities to deeply mine the structural proteome and interactome and reveal mechanisms underlying protein structure and function. |
format | Online Article Text |
id | pubmed-10151615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-101516152023-10-18 Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell Bartolec, Tara K. Vázquez-Campos, Xabier Norman, Alexander Luong, Clement Johnson, Marcus Payne, Richard J. Wilkins, Marc R. Mackay, Joel P. Low, Jason K. K. Proc Natl Acad Sci U S A Biological Sciences Significant recent advances in structural biology, particularly in the field of cryoelectron microscopy, have dramatically expanded our ability to create structural models of proteins and protein complexes. However, many proteins remain refractory to these approaches because of their low abundance, low stability, or—in the case of complexes—simply not having yet been analyzed. Here, we demonstrate the power of using cross-linking mass spectrometry (XL-MS) for the high-throughput experimental assessment of the structures of proteins and protein complexes. This included those produced by high-resolution but in vitro experimental data, as well as in silico predictions based on amino acid sequence alone. We present the largest XL-MS dataset to date, describing 28,910 unique residue pairs captured across 4,084 unique human proteins and 2,110 unique protein–protein interactions. We show that models of proteins and their complexes predicted by AlphaFold2, and inspired and corroborated by the XL-MS data, offer opportunities to deeply mine the structural proteome and interactome and reveal mechanisms underlying protein structure and function. National Academy of Sciences 2023-04-18 2023-04-25 /pmc/articles/PMC10151615/ /pubmed/37071682 http://dx.doi.org/10.1073/pnas.2219418120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Bartolec, Tara K. Vázquez-Campos, Xabier Norman, Alexander Luong, Clement Johnson, Marcus Payne, Richard J. Wilkins, Marc R. Mackay, Joel P. Low, Jason K. K. Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell |
title | Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell |
title_full | Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell |
title_fullStr | Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell |
title_full_unstemmed | Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell |
title_short | Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell |
title_sort | cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151615/ https://www.ncbi.nlm.nih.gov/pubmed/37071682 http://dx.doi.org/10.1073/pnas.2219418120 |
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