Literature DB >> 22371075

Metabolic cartography: experimental quantification of metabolic fluxes from isotopic labelling studies.

John O'Grady1, Jörg Schwender, Yair Shachar-Hill, John A Morgan.   

Abstract

For the past decade, flux maps have provided researchers with an in-depth perspective on plant metabolism. As a rapidly developing field, significant headway has been made recently in computation, experimentation, and overall understanding of metabolic flux analysis. These advances are particularly applicable to the study of plant metabolism. New dynamic computational methods such as non-stationary metabolic flux analysis are finding their place in the toolbox of metabolic engineering, allowing more organisms to be studied and decreasing the time necessary for experimentation, thereby opening new avenues by which to explore the vast diversity of plant metabolism. Also, improved methods of metabolite detection and measurement have been developed, enabling increasingly greater resolution of flux measurements and the analysis of a greater number of the multitude of plant metabolic pathways. Methods to deconvolute organelle-specific metabolism are employed with increasing effectiveness, elucidating the compartmental specificity inherent in plant metabolism. Advances in metabolite measurements have also enabled new types of experiments, such as the calculation of metabolic fluxes based on (13)CO(2) dynamic labelling data, and will continue to direct plant metabolic engineering. Newly calculated metabolic flux maps reveal surprising and useful information about plant metabolism, guiding future genetic engineering of crops to higher yields. Due to the significant level of complexity in plants, these methods in combination with other systems biology measurements are necessary to guide plant metabolic engineering in the future.

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Year:  2012        PMID: 22371075     DOI: 10.1093/jxb/ers032

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  17 in total

1.  Inference and Prediction of Metabolic Network Fluxes.

Authors:  Zoran Nikoloski; Richard Perez-Storey; Lee J Sweetlove
Journal:  Plant Physiol       Date:  2015-09-21       Impact factor: 8.340

Review 2.  Publishing 13C metabolic flux analysis studies: a review and future perspectives.

Authors:  Scott B Crown; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2013-09-08       Impact factor: 9.783

3.  Physical exercise and epigenetic modulation: elucidating intricate mechanisms.

Authors:  Helios Pareja-Galeano; Fabian Sanchis-Gomar; José Luis García-Giménez
Journal:  Sports Med       Date:  2014-04       Impact factor: 11.136

4.  High Flux Through the Oxidative Pentose Phosphate Pathway Lowers Efficiency in Developing Camelina Seeds.

Authors:  Lisa M Carey; Teresa J Clark; Rahul R Deshpande; Jean-Christophe Cocuron; Emily K Rustad; Yair Shachar-Hill
Journal:  Plant Physiol       Date:  2019-11-07       Impact factor: 8.340

5.  Quantitative Multilevel Analysis of Central Metabolism in Developing Oilseeds of Oilseed Rape during in Vitro Culture.

Authors:  Jörg Schwender; Inga Hebbelmann; Nicolas Heinzel; Tatjana Hildebrandt; Alistair Rogers; Dhiraj Naik; Matthias Klapperstück; Hans-Peter Braun; Falk Schreiber; Peter Denolf; Ljudmilla Borisjuk; Hardy Rolletschek
Journal:  Plant Physiol       Date:  2015-05-05       Impact factor: 8.340

Review 6.  In vivo biochemistry: applications for small molecule biosensors in plant biology.

Authors:  Alexander M Jones; Guido Grossmann; Jonas Åh Danielson; Davide Sosso; Li-Qing Chen; Cheng-Hsun Ho; Wolf B Frommer
Journal:  Curr Opin Plant Biol       Date:  2013-04-12       Impact factor: 7.834

7.  Seed architecture shapes embryo metabolism in oilseed rape.

Authors:  Ljudmilla Borisjuk; Thomas Neuberger; Jörg Schwender; Nicolas Heinzel; Stephanie Sunderhaus; Johannes Fuchs; Jordan O Hay; Henning Tschiersch; Hans-Peter Braun; Peter Denolf; Bart Lambert; Peter M Jakob; Hardy Rolletschek
Journal:  Plant Cell       Date:  2013-05-24       Impact factor: 11.277

8.  Dynamic metabolic profiling of cyanobacterial glycogen biosynthesis under conditions of nitrate depletion.

Authors:  Tomohisa Hasunuma; Fumi Kikuyama; Mami Matsuda; Shimpei Aikawa; Yoshihiro Izumi; Akihiko Kondo
Journal:  J Exp Bot       Date:  2013-05-08       Impact factor: 6.992

9.  Temporal changes in metabolism late in seed development affect biomass composition.

Authors:  Shrikaar Kambhampati; Jose A Aznar-Moreno; Sally R Bailey; Jennifer J Arp; Kevin L Chu; Kristin D Bilyeu; Timothy P Durrett; Doug K Allen
Journal:  Plant Physiol       Date:  2021-06-11       Impact factor: 8.340

10.  Feasibility of identifying the tobacco-related global metabolome in blood by UPLC-QTOF-MS.

Authors:  Ping-Ching Hsu; Bin Zhou; Yi Zhao; Habtom W Ressom; Amrita K Cheema; Wallace Pickworth; Peter G Shields
Journal:  J Proteome Res       Date:  2013-01-14       Impact factor: 4.466

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