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MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification
SUMMARY: Mass isotopolome analysis for mode of action identification (MIAMI) combines the strengths of targeted and non-targeted approaches to detect metabolic flux changes in gas chromatography/mass spectrometry datasets. Based on stable isotope labeling experiments, MIAMI determines a mass isotopo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320603/ https://www.ncbi.nlm.nih.gov/pubmed/32324861 http://dx.doi.org/10.1093/bioinformatics/btaa251 |
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author | Dudek, Christian-Alexander Reuse, Carsten Fuchs, Regine Hendriks, Janneke Starck, Veronique Hiller, Karsten |
author_facet | Dudek, Christian-Alexander Reuse, Carsten Fuchs, Regine Hendriks, Janneke Starck, Veronique Hiller, Karsten |
author_sort | Dudek, Christian-Alexander |
collection | PubMed |
description | SUMMARY: Mass isotopolome analysis for mode of action identification (MIAMI) combines the strengths of targeted and non-targeted approaches to detect metabolic flux changes in gas chromatography/mass spectrometry datasets. Based on stable isotope labeling experiments, MIAMI determines a mass isotopomer distribution-based (MID) similarity network and incorporates the data into metabolic reference networks. By identifying MID variations of all labeled compounds between different conditions, targets of metabolic changes can be detected. AVAILABILITY AND IMPLEMENTATION: We implemented the data processing in C++17 with Qt5 back-end using MetaboliteDetector and NTFD libraries. The data visualization is implemented as web application. Executable binaries and visualization are freely available for Linux operating systems, the source code is licensed under General Public License version 3. |
format | Online Article Text |
id | pubmed-7320603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73206032020-07-01 MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification Dudek, Christian-Alexander Reuse, Carsten Fuchs, Regine Hendriks, Janneke Starck, Veronique Hiller, Karsten Bioinformatics Applications Notes SUMMARY: Mass isotopolome analysis for mode of action identification (MIAMI) combines the strengths of targeted and non-targeted approaches to detect metabolic flux changes in gas chromatography/mass spectrometry datasets. Based on stable isotope labeling experiments, MIAMI determines a mass isotopomer distribution-based (MID) similarity network and incorporates the data into metabolic reference networks. By identifying MID variations of all labeled compounds between different conditions, targets of metabolic changes can be detected. AVAILABILITY AND IMPLEMENTATION: We implemented the data processing in C++17 with Qt5 back-end using MetaboliteDetector and NTFD libraries. The data visualization is implemented as web application. Executable binaries and visualization are freely available for Linux operating systems, the source code is licensed under General Public License version 3. Oxford University Press 2020-06-15 2020-04-23 /pmc/articles/PMC7320603/ /pubmed/32324861 http://dx.doi.org/10.1093/bioinformatics/btaa251 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Dudek, Christian-Alexander Reuse, Carsten Fuchs, Regine Hendriks, Janneke Starck, Veronique Hiller, Karsten MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification |
title | MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification |
title_full | MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification |
title_fullStr | MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification |
title_full_unstemmed | MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification |
title_short | MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification |
title_sort | miami––a tool for non-targeted detection of metabolic flux changes for mode of action identification |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320603/ https://www.ncbi.nlm.nih.gov/pubmed/32324861 http://dx.doi.org/10.1093/bioinformatics/btaa251 |
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