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Experimental Flux Measurements on a Network Scale

Metabolic flux is a fundamental property of living organisms. In recent years, methods for measuring metabolic flux in plants on a network scale have evolved further. One major challenge in studying flux in plants is the complexity of the plant’s metabolism. In particular, in the presence of paralle...

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Autor principal: Schwender, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355583/
https://www.ncbi.nlm.nih.gov/pubmed/22639602
http://dx.doi.org/10.3389/fpls.2011.00063
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author Schwender, Jörg
author_facet Schwender, Jörg
author_sort Schwender, Jörg
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description Metabolic flux is a fundamental property of living organisms. In recent years, methods for measuring metabolic flux in plants on a network scale have evolved further. One major challenge in studying flux in plants is the complexity of the plant’s metabolism. In particular, in the presence of parallel pathways in multiple cellular compartments, the core of plant central metabolism constitutes a complex network. Hence, a common problem with the reliability of the contemporary results of (13)C-Metabolic Flux Analysis in plants is the substantial reduction in complexity that must be included in the simulated networks; this omission partly is due to limitations in computational simulations. Here, I discuss recent emerging strategies that will better address these shortcomings.
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spelling pubmed-33555832012-05-25 Experimental Flux Measurements on a Network Scale Schwender, Jörg Front Plant Sci Plant Science Metabolic flux is a fundamental property of living organisms. In recent years, methods for measuring metabolic flux in plants on a network scale have evolved further. One major challenge in studying flux in plants is the complexity of the plant’s metabolism. In particular, in the presence of parallel pathways in multiple cellular compartments, the core of plant central metabolism constitutes a complex network. Hence, a common problem with the reliability of the contemporary results of (13)C-Metabolic Flux Analysis in plants is the substantial reduction in complexity that must be included in the simulated networks; this omission partly is due to limitations in computational simulations. Here, I discuss recent emerging strategies that will better address these shortcomings. Frontiers Research Foundation 2011-10-10 /pmc/articles/PMC3355583/ /pubmed/22639602 http://dx.doi.org/10.3389/fpls.2011.00063 Text en Copyright © 2011 Schwender. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.
spellingShingle Plant Science
Schwender, Jörg
Experimental Flux Measurements on a Network Scale
title Experimental Flux Measurements on a Network Scale
title_full Experimental Flux Measurements on a Network Scale
title_fullStr Experimental Flux Measurements on a Network Scale
title_full_unstemmed Experimental Flux Measurements on a Network Scale
title_short Experimental Flux Measurements on a Network Scale
title_sort experimental flux measurements on a network scale
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355583/
https://www.ncbi.nlm.nih.gov/pubmed/22639602
http://dx.doi.org/10.3389/fpls.2011.00063
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