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Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease

Membrane transporters enable efficient cellular metabolism, aid in nutrient sensing, and have been associated with various diseases, such as obesity and cancer. Genome-scale metabolic network reconstructions capture genomic, physiological, and biochemical knowledge of a target organism, along with a...

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Autores principales: Sahoo, Swagatika, Aurich, Maike K., Jonsson, Jon J., Thiele, Ines
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3949408/
https://www.ncbi.nlm.nih.gov/pubmed/24653705
http://dx.doi.org/10.3389/fphys.2014.00091
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author Sahoo, Swagatika
Aurich, Maike K.
Jonsson, Jon J.
Thiele, Ines
author_facet Sahoo, Swagatika
Aurich, Maike K.
Jonsson, Jon J.
Thiele, Ines
author_sort Sahoo, Swagatika
collection PubMed
description Membrane transporters enable efficient cellular metabolism, aid in nutrient sensing, and have been associated with various diseases, such as obesity and cancer. Genome-scale metabolic network reconstructions capture genomic, physiological, and biochemical knowledge of a target organism, along with a detailed representation of the cellular metabolite transport mechanisms. Since the first reconstruction of human metabolism, Recon 1, published in 2007, progress has been made in the field of metabolite transport. Recently, we published an updated reconstruction, Recon 2, which significantly improved the metabolic coverage and functionality. Human metabolic reconstructions have been used to investigate the role of metabolism in disease and to predict biomarkers and drug targets. Given the importance of cellular transport systems in understanding human metabolism in health and disease, we analyzed the coverage of transport systems for various metabolite classes in Recon 2. We will review the current knowledge on transporters (i.e., their preferred substrates, transport mechanisms, metabolic relevance, and disease association for each metabolite class). We will assess missing coverage and propose modifications and additions through a transport module that is functional when combined with Recon 2. This information will be valuable for further refinements. These data will also provide starting points for further experiments by highlighting areas of incomplete knowledge. This review represents the first comprehensive overview of the transporters involved in central metabolism and their transport mechanisms, thus serving as a compendium of metabolite transporters specific for human metabolic reconstructions.
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spelling pubmed-39494082014-03-20 Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease Sahoo, Swagatika Aurich, Maike K. Jonsson, Jon J. Thiele, Ines Front Physiol Physiology Membrane transporters enable efficient cellular metabolism, aid in nutrient sensing, and have been associated with various diseases, such as obesity and cancer. Genome-scale metabolic network reconstructions capture genomic, physiological, and biochemical knowledge of a target organism, along with a detailed representation of the cellular metabolite transport mechanisms. Since the first reconstruction of human metabolism, Recon 1, published in 2007, progress has been made in the field of metabolite transport. Recently, we published an updated reconstruction, Recon 2, which significantly improved the metabolic coverage and functionality. Human metabolic reconstructions have been used to investigate the role of metabolism in disease and to predict biomarkers and drug targets. Given the importance of cellular transport systems in understanding human metabolism in health and disease, we analyzed the coverage of transport systems for various metabolite classes in Recon 2. We will review the current knowledge on transporters (i.e., their preferred substrates, transport mechanisms, metabolic relevance, and disease association for each metabolite class). We will assess missing coverage and propose modifications and additions through a transport module that is functional when combined with Recon 2. This information will be valuable for further refinements. These data will also provide starting points for further experiments by highlighting areas of incomplete knowledge. This review represents the first comprehensive overview of the transporters involved in central metabolism and their transport mechanisms, thus serving as a compendium of metabolite transporters specific for human metabolic reconstructions. Frontiers Media S.A. 2014-03-11 /pmc/articles/PMC3949408/ /pubmed/24653705 http://dx.doi.org/10.3389/fphys.2014.00091 Text en Copyright © 2014 Sahoo, Aurich, Jonsson and Thiele. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Sahoo, Swagatika
Aurich, Maike K.
Jonsson, Jon J.
Thiele, Ines
Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease
title Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease
title_full Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease
title_fullStr Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease
title_full_unstemmed Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease
title_short Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease
title_sort membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3949408/
https://www.ncbi.nlm.nih.gov/pubmed/24653705
http://dx.doi.org/10.3389/fphys.2014.00091
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