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deMix: Decoding Deuterated Distributions from Heterogeneous Protein States via HDX-MS
Characterization of protein structural changes in response to protein modifications, ligand or chemical binding, or protein-protein interactions is essential for understanding protein function and its regulation. Amide hydrogen/deuterium exchange (HDX) coupled with mass spectrometry (MS) is one of t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6395696/ https://www.ncbi.nlm.nih.gov/pubmed/30816214 http://dx.doi.org/10.1038/s41598-019-39512-8 |
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author | Na, Seungjin Lee, Jae-Jin Joo, Jong Wha J. Lee, Kong-Joo Paek, Eunok |
author_facet | Na, Seungjin Lee, Jae-Jin Joo, Jong Wha J. Lee, Kong-Joo Paek, Eunok |
author_sort | Na, Seungjin |
collection | PubMed |
description | Characterization of protein structural changes in response to protein modifications, ligand or chemical binding, or protein-protein interactions is essential for understanding protein function and its regulation. Amide hydrogen/deuterium exchange (HDX) coupled with mass spectrometry (MS) is one of the most favorable tools for characterizing the protein dynamics and changes of protein conformation. However, currently the analysis of HDX-MS data is not up to its full power as it still requires manual validation by mass spectrometry experts. Especially, with the advent of high throughput technologies, the data size grows everyday and an automated tool is essential for the analysis. Here, we introduce a fully automated software, referred to as ‘deMix’, for the HDX-MS data analysis. deMix deals directly with the deuterated isotopic distributions, but not considering their centroid masses and is designed to be robust over random noises. In addition, unlike the existing approaches that can only determine a single state from an isotopic distribution, deMix can also detect a bimodal deuterated distribution, arising from EX1 behavior or heterogeneous peptides in conformational isomer proteins. Furthermore, deMix comes with visualization software to facilitate validation and representation of the analysis results. |
format | Online Article Text |
id | pubmed-6395696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63956962019-03-04 deMix: Decoding Deuterated Distributions from Heterogeneous Protein States via HDX-MS Na, Seungjin Lee, Jae-Jin Joo, Jong Wha J. Lee, Kong-Joo Paek, Eunok Sci Rep Article Characterization of protein structural changes in response to protein modifications, ligand or chemical binding, or protein-protein interactions is essential for understanding protein function and its regulation. Amide hydrogen/deuterium exchange (HDX) coupled with mass spectrometry (MS) is one of the most favorable tools for characterizing the protein dynamics and changes of protein conformation. However, currently the analysis of HDX-MS data is not up to its full power as it still requires manual validation by mass spectrometry experts. Especially, with the advent of high throughput technologies, the data size grows everyday and an automated tool is essential for the analysis. Here, we introduce a fully automated software, referred to as ‘deMix’, for the HDX-MS data analysis. deMix deals directly with the deuterated isotopic distributions, but not considering their centroid masses and is designed to be robust over random noises. In addition, unlike the existing approaches that can only determine a single state from an isotopic distribution, deMix can also detect a bimodal deuterated distribution, arising from EX1 behavior or heterogeneous peptides in conformational isomer proteins. Furthermore, deMix comes with visualization software to facilitate validation and representation of the analysis results. Nature Publishing Group UK 2019-02-28 /pmc/articles/PMC6395696/ /pubmed/30816214 http://dx.doi.org/10.1038/s41598-019-39512-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Na, Seungjin Lee, Jae-Jin Joo, Jong Wha J. Lee, Kong-Joo Paek, Eunok deMix: Decoding Deuterated Distributions from Heterogeneous Protein States via HDX-MS |
title | deMix: Decoding Deuterated Distributions from Heterogeneous Protein States via HDX-MS |
title_full | deMix: Decoding Deuterated Distributions from Heterogeneous Protein States via HDX-MS |
title_fullStr | deMix: Decoding Deuterated Distributions from Heterogeneous Protein States via HDX-MS |
title_full_unstemmed | deMix: Decoding Deuterated Distributions from Heterogeneous Protein States via HDX-MS |
title_short | deMix: Decoding Deuterated Distributions from Heterogeneous Protein States via HDX-MS |
title_sort | demix: decoding deuterated distributions from heterogeneous protein states via hdx-ms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6395696/ https://www.ncbi.nlm.nih.gov/pubmed/30816214 http://dx.doi.org/10.1038/s41598-019-39512-8 |
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