ArticleFrontiers in plant science2011
Analysis of the compartmentalized metabolome - a validation of the non-aqueous fractionation technique.
Article in Frontiers in plant science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Thermo-flux: generation and analysis of thermodynamic-stoichiometric metabolic network models.Molecular systems biology · 2026Article
- Chorismate and isochorismate turnover reveal hidden dynamics of aromatic metabolism in Arabidopsis leaves.The Plant cell · 2026Article
- Measurement of Subcellular Metabolite Concentrations in Relation to Phloem Loading.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Chloroplastic ascorbate modifies plant metabolism and may act as a metabolite signal regardless of oxidative stress.Plant physiology · 2024Article
- Isotope-Assisted Metabolic Flux Analysis: A Powerful Technique to Gain New Insights into the Human Metabolome in Health and Disease.Metabolites · 2022Review
- Sucrose Metabolism and Transport in Grapevines, with Emphasis on Berries and Leaves, and Insights Gained from a Cross-Species Comparison.International journal of molecular sciences · 2021Review
- Stromal NADH supplied by PHOSPHOGLYCERATE DEHYDROGENASE3 is crucial for photosynthetic performance.Plant physiology · 2021Article
- Nonaqueous fractionation and overexpression of fluorescent-tagged enzymes reveals the subcellular sites of L-theanine biosynthesis in tea.Plant biotechnology journal · 2021Article
- Non-aqueous Fractionation (NAF) for Metabolite Analysis in Subcellular Compartments ofBio-protocol · 2019Article
- Non-aqueous fractionation revealed changing subcellular metabolite distribution during apple fruit development.Horticulture research · 2019Article
- Induced, Imprinted, and Primed Responses to Changing Environments: Does Metabolism Store and Process Information?Frontiers in plant science · 2019Article
- Article
- Impaired Malate and Fumarate Accumulation Due to the Mutation of the Tonoplast Dicarboxylate Transporter Has Little Effects on Stomatal Behavior.Plant physiology · 2017Article
- A Benchtop Fractionation Procedure for Subcellular Analysis of the Plant Metabolome.Frontiers in plant science · 2016Article
- Article
- Integration of metabolomics data into metabolic networks.Frontiers in plant science · 2015Review
- Dissecting the subcellular compartmentation of proteins and metabolites in arabidopsis leaves using non-aqueous fractionation.Molecular & cellular proteomics : MCP · 2014Article
- Flux profiling of photosynthetic carbon metabolism in intact plants.Nature protocols · 2014Article
- Apoplastic and symplastic phloem loading in Quercus robur and Fraxinus excelsior.Journal of experimental botany · 2014Article
- Linking metabolomics data to underlying metabolic regulation.Frontiers in molecular biosciences · 2014Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the development of high-throughput metabolic technologies, a plethora of primary and secondary compounds have been detected in the plant cell. However, there are still major gaps in our understanding of the plant metabolome. This is especially true with regards to the compartmental localization of these identified metabolites. Non-aqueous fractionation (NAF) is a powerful technique for the determination of subcellular metabolite distributions in eukaryotic cells, and it has become the method of choice to analyze the distribution of a large number of metabolites concurrently. However, the NAF technique produces a continuous gradient of metabolite distributions, not discrete assignments. Resolution of these distributions requires computational analyses based on marker molecules to resolve compartmental localizations. In this article we focus on expanding the computational analysis of data derived from NAF. Along with an experimental workflow, we describe the critical steps in NAF experiments and how computational approaches can aid in assessing the quality and robustness of the derived data. For this, we have developed and provide a new version (v1.2) of the BestFit command line tool for calculation and evaluation of subcellular metabolite distributions. Furthermore, using both simulated and experimental data we show the influence on estimated subcellular distributions by modulating important parameters, such as the number of fractions taken or which marker molecule is selected. Finally, we discuss caveats and benefits of NAF analysis in the context of the compartmentalized metabolome.
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