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MOOMIN – Mathematical explOration of ’Omics data on a MetabolIc Network
MOTIVATION: Analysis of differential expression of genes is often performed to understand how the metabolic activity of an organism is impacted by a perturbation. However, because the system of metabolic regulation is complex and all changes are not directly reflected in the expression levels, inter...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883724/ https://www.ncbi.nlm.nih.gov/pubmed/31504164 http://dx.doi.org/10.1093/bioinformatics/btz584 |
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author | Pusa, Taneli Ferrarini, Mariana Galvão Andrade, Ricardo Mary, Arnaud Marchetti-Spaccamela, Alberto Stougie, Leen Sagot, Marie-France |
author_facet | Pusa, Taneli Ferrarini, Mariana Galvão Andrade, Ricardo Mary, Arnaud Marchetti-Spaccamela, Alberto Stougie, Leen Sagot, Marie-France |
author_sort | Pusa, Taneli |
collection | PubMed |
description | MOTIVATION: Analysis of differential expression of genes is often performed to understand how the metabolic activity of an organism is impacted by a perturbation. However, because the system of metabolic regulation is complex and all changes are not directly reflected in the expression levels, interpreting these data can be difficult. RESULTS: In this work, we present a new algorithm and computational tool that uses a genome-scale metabolic reconstruction to infer metabolic changes from differential expression data. Using the framework of constraint-based analysis, our method produces a qualitative hypothesis of a change in metabolic activity. In other words, each reaction of the network is inferred to have increased, decreased, or remained unchanged in flux. In contrast to similar previous approaches, our method does not require a biological objective function and does not assign on/off activity states to genes. An implementation is provided and it is available online. We apply the method to three published datasets to show that it successfully accomplishes its two main goals: confirming or rejecting metabolic changes suggested by differentially expressed genes based on how well they fit in as parts of a coordinated metabolic change, as well as inferring changes in reactions whose genes did not undergo differential expression. AVAILABILITY AND IMPLEMENTATION: github.com/htpusa/moomin. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9883724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98837242023-02-01 MOOMIN – Mathematical explOration of ’Omics data on a MetabolIc Network Pusa, Taneli Ferrarini, Mariana Galvão Andrade, Ricardo Mary, Arnaud Marchetti-Spaccamela, Alberto Stougie, Leen Sagot, Marie-France Bioinformatics Original Papers MOTIVATION: Analysis of differential expression of genes is often performed to understand how the metabolic activity of an organism is impacted by a perturbation. However, because the system of metabolic regulation is complex and all changes are not directly reflected in the expression levels, interpreting these data can be difficult. RESULTS: In this work, we present a new algorithm and computational tool that uses a genome-scale metabolic reconstruction to infer metabolic changes from differential expression data. Using the framework of constraint-based analysis, our method produces a qualitative hypothesis of a change in metabolic activity. In other words, each reaction of the network is inferred to have increased, decreased, or remained unchanged in flux. In contrast to similar previous approaches, our method does not require a biological objective function and does not assign on/off activity states to genes. An implementation is provided and it is available online. We apply the method to three published datasets to show that it successfully accomplishes its two main goals: confirming or rejecting metabolic changes suggested by differentially expressed genes based on how well they fit in as parts of a coordinated metabolic change, as well as inferring changes in reactions whose genes did not undergo differential expression. AVAILABILITY AND IMPLEMENTATION: github.com/htpusa/moomin. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-08-22 /pmc/articles/PMC9883724/ /pubmed/31504164 http://dx.doi.org/10.1093/bioinformatics/btz584 Text en © The Author(s) 2019. Published by Oxford University Press. https://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/ (https://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 Pusa, Taneli Ferrarini, Mariana Galvão Andrade, Ricardo Mary, Arnaud Marchetti-Spaccamela, Alberto Stougie, Leen Sagot, Marie-France MOOMIN – Mathematical explOration of ’Omics data on a MetabolIc Network |
title | MOOMIN – Mathematical explOration of ’Omics data on a MetabolIc Network |
title_full | MOOMIN – Mathematical explOration of ’Omics data on a MetabolIc Network |
title_fullStr | MOOMIN – Mathematical explOration of ’Omics data on a MetabolIc Network |
title_full_unstemmed | MOOMIN – Mathematical explOration of ’Omics data on a MetabolIc Network |
title_short | MOOMIN – Mathematical explOration of ’Omics data on a MetabolIc Network |
title_sort | moomin – mathematical exploration of ’omics data on a metabolic network |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883724/ https://www.ncbi.nlm.nih.gov/pubmed/31504164 http://dx.doi.org/10.1093/bioinformatics/btz584 |
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