Cargando…
Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS)
The fundamentals of how protein–protein/RNA/DNA interactions influence the structures and functions of the workhorses from the cells have been well documented in the 20th century. A diverse set of methods exist to determine such interactions between different components, particularly, the mass spect...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001575/ https://www.ncbi.nlm.nih.gov/pubmed/33806612 http://dx.doi.org/10.3390/biom11030382 |
_version_ | 1783671262288019456 |
---|---|
author | Kalathiya, Umesh Padariya, Monikaben Faktor, Jakub Coyaud, Etienne Alfaro, Javier A. Fahraeus, Robin Hupp, Ted R. Goodlett, David R. |
author_facet | Kalathiya, Umesh Padariya, Monikaben Faktor, Jakub Coyaud, Etienne Alfaro, Javier A. Fahraeus, Robin Hupp, Ted R. Goodlett, David R. |
author_sort | Kalathiya, Umesh |
collection | PubMed |
description | The fundamentals of how protein–protein/RNA/DNA interactions influence the structures and functions of the workhorses from the cells have been well documented in the 20th century. A diverse set of methods exist to determine such interactions between different components, particularly, the mass spectrometry (MS) methods, with its advanced instrumentation, has become a significant approach to analyze a diverse range of biomolecules, as well as bring insights to their biomolecular processes. This review highlights the principal role of chemistry in MS-based structural proteomics approaches, with a particular focus on the chemical cross-linking of protein–protein/DNA/RNA complexes. In addition, we discuss different methods to prepare the cross-linked samples for MS analysis and tools to identify cross-linked peptides. Cross-linking mass spectrometry (CLMS) holds promise to identify interaction sites in larger and more complex biological systems. The typical CLMS workflow allows for the measurement of the proximity in three-dimensional space of amino acids, identifying proteins in direct contact with DNA or RNA, and it provides information on the folds of proteins as well as their topology in the complexes. Principal CLMS applications, its notable successes, as well as common pipelines that bridge proteomics, molecular biology, structural systems biology, and interactomics are outlined. |
format | Online Article Text |
id | pubmed-8001575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80015752021-03-28 Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS) Kalathiya, Umesh Padariya, Monikaben Faktor, Jakub Coyaud, Etienne Alfaro, Javier A. Fahraeus, Robin Hupp, Ted R. Goodlett, David R. Biomolecules Review The fundamentals of how protein–protein/RNA/DNA interactions influence the structures and functions of the workhorses from the cells have been well documented in the 20th century. A diverse set of methods exist to determine such interactions between different components, particularly, the mass spectrometry (MS) methods, with its advanced instrumentation, has become a significant approach to analyze a diverse range of biomolecules, as well as bring insights to their biomolecular processes. This review highlights the principal role of chemistry in MS-based structural proteomics approaches, with a particular focus on the chemical cross-linking of protein–protein/DNA/RNA complexes. In addition, we discuss different methods to prepare the cross-linked samples for MS analysis and tools to identify cross-linked peptides. Cross-linking mass spectrometry (CLMS) holds promise to identify interaction sites in larger and more complex biological systems. The typical CLMS workflow allows for the measurement of the proximity in three-dimensional space of amino acids, identifying proteins in direct contact with DNA or RNA, and it provides information on the folds of proteins as well as their topology in the complexes. Principal CLMS applications, its notable successes, as well as common pipelines that bridge proteomics, molecular biology, structural systems biology, and interactomics are outlined. MDPI 2021-03-04 /pmc/articles/PMC8001575/ /pubmed/33806612 http://dx.doi.org/10.3390/biom11030382 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Review Kalathiya, Umesh Padariya, Monikaben Faktor, Jakub Coyaud, Etienne Alfaro, Javier A. Fahraeus, Robin Hupp, Ted R. Goodlett, David R. Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS) |
title | Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS) |
title_full | Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS) |
title_fullStr | Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS) |
title_full_unstemmed | Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS) |
title_short | Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS) |
title_sort | interfaces with structure dynamics of the workhorses from cells revealed through cross-linking mass spectrometry (clms) |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001575/ https://www.ncbi.nlm.nih.gov/pubmed/33806612 http://dx.doi.org/10.3390/biom11030382 |
work_keys_str_mv | AT kalathiyaumesh interfaceswithstructuredynamicsoftheworkhorsesfromcellsrevealedthroughcrosslinkingmassspectrometryclms AT padariyamonikaben interfaceswithstructuredynamicsoftheworkhorsesfromcellsrevealedthroughcrosslinkingmassspectrometryclms AT faktorjakub interfaceswithstructuredynamicsoftheworkhorsesfromcellsrevealedthroughcrosslinkingmassspectrometryclms AT coyaudetienne interfaceswithstructuredynamicsoftheworkhorsesfromcellsrevealedthroughcrosslinkingmassspectrometryclms AT alfarojaviera interfaceswithstructuredynamicsoftheworkhorsesfromcellsrevealedthroughcrosslinkingmassspectrometryclms AT fahraeusrobin interfaceswithstructuredynamicsoftheworkhorsesfromcellsrevealedthroughcrosslinkingmassspectrometryclms AT hupptedr interfaceswithstructuredynamicsoftheworkhorsesfromcellsrevealedthroughcrosslinkingmassspectrometryclms AT goodlettdavidr interfaceswithstructuredynamicsoftheworkhorsesfromcellsrevealedthroughcrosslinkingmassspectrometryclms |