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MEMHDX: an interactive tool to expedite the statistical validation and visualization of large HDX-MS datasets
Motivation: With the continued improvement of requisite mass spectrometers and UHPLC systems, Hydrogen/Deuterium eXchange Mass Spectrometry (HDX-MS) workflows are rapidly evolving towards the investigation of more challenging biological systems, including large protein complexes and membrane protein...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5181559/ https://www.ncbi.nlm.nih.gov/pubmed/27412089 http://dx.doi.org/10.1093/bioinformatics/btw420 |
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author | Hourdel, Véronique Volant, Stevenn O’Brien, Darragh P. Chenal, Alexandre Chamot-Rooke, Julia Dillies, Marie-Agnès Brier, Sébastien |
author_facet | Hourdel, Véronique Volant, Stevenn O’Brien, Darragh P. Chenal, Alexandre Chamot-Rooke, Julia Dillies, Marie-Agnès Brier, Sébastien |
author_sort | Hourdel, Véronique |
collection | PubMed |
description | Motivation: With the continued improvement of requisite mass spectrometers and UHPLC systems, Hydrogen/Deuterium eXchange Mass Spectrometry (HDX-MS) workflows are rapidly evolving towards the investigation of more challenging biological systems, including large protein complexes and membrane proteins. The analysis of such extensive systems results in very large HDX-MS datasets for which specific analysis tools are required to speed up data validation and interpretation. Results: We introduce a web application and a new R-package named ‘MEMHDX’ to help users analyze, validate and visualize large HDX-MS datasets. MEMHDX is composed of two elements. A statistical tool aids in the validation of the results by applying a mixed-effects model for each peptide, in each experimental condition, and at each time point, taking into account the time dependency of the HDX reaction and number of independent replicates. Two adjusted P-values are generated per peptide, one for the ‘Change in dynamics’ and one for the ‘Magnitude of ΔD’, and are used to classify the data by means of a ‘Logit’ representation. A user-friendly interface developed with Shiny by RStudio facilitates the use of the package. This interactive tool allows the user to easily and rapidly validate, visualize and compare the relative deuterium incorporation on the amino acid sequence and 3D structure, providing both spatial and temporal information. Availability and Implementation: MEMHDX is freely available as a web tool at the project home page http://memhdx.c3bi.pasteur.fr Contact: marie-agnes.dillies@pasteur.fr or sebastien.brier@pasteur.fr Supplementary information: Supplementary data is available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5181559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-51815592016-12-27 MEMHDX: an interactive tool to expedite the statistical validation and visualization of large HDX-MS datasets Hourdel, Véronique Volant, Stevenn O’Brien, Darragh P. Chenal, Alexandre Chamot-Rooke, Julia Dillies, Marie-Agnès Brier, Sébastien Bioinformatics Original Papers Motivation: With the continued improvement of requisite mass spectrometers and UHPLC systems, Hydrogen/Deuterium eXchange Mass Spectrometry (HDX-MS) workflows are rapidly evolving towards the investigation of more challenging biological systems, including large protein complexes and membrane proteins. The analysis of such extensive systems results in very large HDX-MS datasets for which specific analysis tools are required to speed up data validation and interpretation. Results: We introduce a web application and a new R-package named ‘MEMHDX’ to help users analyze, validate and visualize large HDX-MS datasets. MEMHDX is composed of two elements. A statistical tool aids in the validation of the results by applying a mixed-effects model for each peptide, in each experimental condition, and at each time point, taking into account the time dependency of the HDX reaction and number of independent replicates. Two adjusted P-values are generated per peptide, one for the ‘Change in dynamics’ and one for the ‘Magnitude of ΔD’, and are used to classify the data by means of a ‘Logit’ representation. A user-friendly interface developed with Shiny by RStudio facilitates the use of the package. This interactive tool allows the user to easily and rapidly validate, visualize and compare the relative deuterium incorporation on the amino acid sequence and 3D structure, providing both spatial and temporal information. Availability and Implementation: MEMHDX is freely available as a web tool at the project home page http://memhdx.c3bi.pasteur.fr Contact: marie-agnes.dillies@pasteur.fr or sebastien.brier@pasteur.fr Supplementary information: Supplementary data is available at Bioinformatics online. Oxford University Press 2016-11-15 2016-07-13 /pmc/articles/PMC5181559/ /pubmed/27412089 http://dx.doi.org/10.1093/bioinformatics/btw420 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Papers Hourdel, Véronique Volant, Stevenn O’Brien, Darragh P. Chenal, Alexandre Chamot-Rooke, Julia Dillies, Marie-Agnès Brier, Sébastien MEMHDX: an interactive tool to expedite the statistical validation and visualization of large HDX-MS datasets |
title | MEMHDX: an interactive tool to expedite the statistical validation and visualization of large HDX-MS datasets |
title_full | MEMHDX: an interactive tool to expedite the statistical validation and visualization of large HDX-MS datasets |
title_fullStr | MEMHDX: an interactive tool to expedite the statistical validation and visualization of large HDX-MS datasets |
title_full_unstemmed | MEMHDX: an interactive tool to expedite the statistical validation and visualization of large HDX-MS datasets |
title_short | MEMHDX: an interactive tool to expedite the statistical validation and visualization of large HDX-MS datasets |
title_sort | memhdx: an interactive tool to expedite the statistical validation and visualization of large hdx-ms datasets |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5181559/ https://www.ncbi.nlm.nih.gov/pubmed/27412089 http://dx.doi.org/10.1093/bioinformatics/btw420 |
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