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RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations

Predicting cellular responses to perturbations is an important task in systems biology. We report a new approach, RELATCH, which uses flux and gene expression data from a reference state to predict metabolic responses in a genetically or environmentally perturbed state. Using the concept of relative...

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Detalles Bibliográficos
Autores principales: Kim, Joonhoon, Reed, Jennifer L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3506949/
https://www.ncbi.nlm.nih.gov/pubmed/23013597
http://dx.doi.org/10.1186/gb-2012-13-9-r78
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author Kim, Joonhoon
Reed, Jennifer L
author_facet Kim, Joonhoon
Reed, Jennifer L
author_sort Kim, Joonhoon
collection PubMed
description Predicting cellular responses to perturbations is an important task in systems biology. We report a new approach, RELATCH, which uses flux and gene expression data from a reference state to predict metabolic responses in a genetically or environmentally perturbed state. Using the concept of relative optimality, which considers relative flux changes from a reference state, we hypothesize a relative metabolic flux pattern is maintained from one state to another, and that cells adapt to perturbations using metabolic and regulatory reprogramming to preserve this relative flux pattern. This constraint-based approach will have broad utility where predictions of metabolic responses are needed.
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spelling pubmed-35069492012-11-29 RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations Kim, Joonhoon Reed, Jennifer L Genome Biol Method Predicting cellular responses to perturbations is an important task in systems biology. We report a new approach, RELATCH, which uses flux and gene expression data from a reference state to predict metabolic responses in a genetically or environmentally perturbed state. Using the concept of relative optimality, which considers relative flux changes from a reference state, we hypothesize a relative metabolic flux pattern is maintained from one state to another, and that cells adapt to perturbations using metabolic and regulatory reprogramming to preserve this relative flux pattern. This constraint-based approach will have broad utility where predictions of metabolic responses are needed. BioMed Central 2012 2012-09-26 /pmc/articles/PMC3506949/ /pubmed/23013597 http://dx.doi.org/10.1186/gb-2012-13-9-r78 Text en Copyright ©2012 Kim and Reed; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Kim, Joonhoon
Reed, Jennifer L
RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
title RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
title_full RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
title_fullStr RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
title_full_unstemmed RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
title_short RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
title_sort relatch: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3506949/
https://www.ncbi.nlm.nih.gov/pubmed/23013597
http://dx.doi.org/10.1186/gb-2012-13-9-r78
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