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A Computational Approach to Estimate Interorgan Metabolic Transport in a Mammal
In multicellular organisms metabolism is distributed across different organs, each of which has specific requirements to perform its own specialized task. But different organs also have to support the metabolic homeostasis of the organism as a whole by interorgan metabolite transport. Recent studies...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074118/ https://www.ncbi.nlm.nih.gov/pubmed/24971892 http://dx.doi.org/10.1371/journal.pone.0100963 |
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author | Cui, Xiao Geffers, Lars Eichele, Gregor Yan, Jun |
author_facet | Cui, Xiao Geffers, Lars Eichele, Gregor Yan, Jun |
author_sort | Cui, Xiao |
collection | PubMed |
description | In multicellular organisms metabolism is distributed across different organs, each of which has specific requirements to perform its own specialized task. But different organs also have to support the metabolic homeostasis of the organism as a whole by interorgan metabolite transport. Recent studies have successfully reconstructed global metabolic networks in tissues and cell types and attempts have been made to connect organs with interorgan metabolite transport. Instead of these complicated approaches to reconstruct global metabolic networks, we proposed in this study a novel approach to study interorgan metabolite transport focusing on transport processes mediated by solute carrier (Slc) transporters and their couplings to cognate enzymatic reactions. We developed a computational approach to identify and score potential interorgan metabolite transports based on the integration of metabolism and transports in different organs in the adult mouse from quantitative gene expression data. This allowed us to computationally estimate the connectivity between 17 mouse organs via metabolite transport. Finally, by applying our method to circadian metabolism, we showed that our approach can shed new light on the current understanding of interorgan metabolite transport at a whole-body level in mammals. |
format | Online Article Text |
id | pubmed-4074118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40741182014-07-02 A Computational Approach to Estimate Interorgan Metabolic Transport in a Mammal Cui, Xiao Geffers, Lars Eichele, Gregor Yan, Jun PLoS One Research Article In multicellular organisms metabolism is distributed across different organs, each of which has specific requirements to perform its own specialized task. But different organs also have to support the metabolic homeostasis of the organism as a whole by interorgan metabolite transport. Recent studies have successfully reconstructed global metabolic networks in tissues and cell types and attempts have been made to connect organs with interorgan metabolite transport. Instead of these complicated approaches to reconstruct global metabolic networks, we proposed in this study a novel approach to study interorgan metabolite transport focusing on transport processes mediated by solute carrier (Slc) transporters and their couplings to cognate enzymatic reactions. We developed a computational approach to identify and score potential interorgan metabolite transports based on the integration of metabolism and transports in different organs in the adult mouse from quantitative gene expression data. This allowed us to computationally estimate the connectivity between 17 mouse organs via metabolite transport. Finally, by applying our method to circadian metabolism, we showed that our approach can shed new light on the current understanding of interorgan metabolite transport at a whole-body level in mammals. Public Library of Science 2014-06-27 /pmc/articles/PMC4074118/ /pubmed/24971892 http://dx.doi.org/10.1371/journal.pone.0100963 Text en © 2014 Cui et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Cui, Xiao Geffers, Lars Eichele, Gregor Yan, Jun A Computational Approach to Estimate Interorgan Metabolic Transport in a Mammal |
title | A Computational Approach to Estimate Interorgan Metabolic Transport in a Mammal |
title_full | A Computational Approach to Estimate Interorgan Metabolic Transport in a Mammal |
title_fullStr | A Computational Approach to Estimate Interorgan Metabolic Transport in a Mammal |
title_full_unstemmed | A Computational Approach to Estimate Interorgan Metabolic Transport in a Mammal |
title_short | A Computational Approach to Estimate Interorgan Metabolic Transport in a Mammal |
title_sort | computational approach to estimate interorgan metabolic transport in a mammal |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074118/ https://www.ncbi.nlm.nih.gov/pubmed/24971892 http://dx.doi.org/10.1371/journal.pone.0100963 |
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