Noninvasive NMR studies of metabolism in cultured Catharanthus roseus cells

Vogel, Hans J.; Lundberg, Peter; Bagh, Kirsten

doi:10.1007/s11627-999-0024-y

Cited by 5 publications

(2 citation statements)

References 52 publications

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“…Generally, NMR is restricted by subtlety to coverage on the large adequate metabolites, besides that in suitable circumstances, it provides methodologies to the circulation of those metabolites through subcellular compartments, commonly among the vacuole and the remnant of the cell. A substance which is positioned in multiple intracellular environments might provide specific signals based on either the signal are sensitive to any change in pH, ionic composition or viscosity among those compartments [171,172]. The pH reliance of NMR signals is mainly used for phosphorylated compounds as well as organic acids [173,174], also information about compartment has been getting on amino acids [175,176] and ammonium [177].…”

Section: Non-destructive Methods For Metabolite Analysismentioning

confidence: 99%

Untitled

2019

RJLBPCS

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Theoretical and experimental observations in metabolic engineering both indicate that metabolism operates at the level of networks. In plants, metabolic complexity attains a high degree because of compartmentation and the synthesis of a very wide variety of secondary metabolites. Metabolic flux analysis (MFA) gives tools to measure and model the operation of metabolism and is making important contributions to understand the metabolic complexity. This review gives an overview of different MFA approaches, the experimental measurements needed to apply them to get the flux information across the metabolic network.

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Section: Non-destructive Methods For Metabolite Analysismentioning

confidence: 99%

Untitled

2019

RJLBPCS

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“…Although NMR is limited by sensitivity to reporting on the more abundant metabolites, in favourable cases, it can also contribute to analysing the distribution of those metabolites among subcellular compartments, usually between the vacuole and the rest of the cell. A compound that is located in multiple intracellular environments may give distinct signals depending on whether the signal is sensitive to any differences in pH, viscosity or ionic composition between those compartments (Vogel, Lundberg & Bagh 1999; Ratcliffe, Roscher & Shachar‐Hill 2001). The pH dependence of NMR signals is commonly exploited for phosphorylated compounds and organic acids (Stidham, Moreland & Siedow 1983; Gout et al.…”

Section: Subcellular Compartmentationmentioning

confidence: 99%

Metabolic flux analysis in plants: coping with complexity

Allen¹,

Libourel²,

Shachar‐Hill³

2009

Plant Cell & Environment

132

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Theory and experience in metabolic engineering both show that metabolism operates at the network level. In plants, this complexity is compounded by a high degree of compartmentation and the synthesis of a very wide array of secondary metabolic products. A further challenge to understanding and predicting plant metabolic function is posed by our ignorance about the structure of metabolic networks even in well-studied systems. Metabolic flux analysis (MFA) provides tools to measure and model the functioning of metabolism, and is making significant contributions to coping with their complexity.This review gives an overview of different MFA approaches, the measurements required to implement them and the information they yield. The application of MFA methods to plant systems is then illustrated by several examples from the recent literature. Next, the challenges that plant metabolism poses for MFA are discussed together with ways that these can be addressed. Lastly, new developments in MFA are described that can be expected to improve the range and reliability of plant MFA in the coming years.

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The benefits of being transient: isotope-based metabolic flux analysis at the short time scale

Nöh

Wiechert

2011

Appl Microbiol Biotechnol

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Metabolic fluxes are the manifestations of the co-operating actions in a complex network of genes, transcripts, proteins, and metabolites. As a final quantitative endpoint of all cellular interactions, the intracellular fluxes are of immense interest in fundamental as well as applied research. Unlike the quantities of interest in most omics levels, in vivo fluxes are, however, not directly measureable. In the last decade, ¹³C-based metabolic flux analysis emerged as the state-of-the-art technique to infer steady-state fluxes by data from labeling experiments and the use of mathematical models. A very promising new area in systems metabolic engineering research is non-stationary ¹³C-metabolic flux analysis at metabolic steady-state conditions. Several studies have demonstrated an information surplus contained in transient labeling data compared to those taken at the isotopic equilibrium, as it is classically done. Enabled by recent, fairly multi-disciplinary progress, the new method opens several attractive options to (1) generate new insights, e.g., in cellular storage metabolism or the dilution of tracer by endogenous pools and (2) shift limits, inherent in the classical approach, towards enhanced applicability with respect to cultivation conditions and biological systems. We review the new developments in metabolome-based non-stationary ¹³C flux analysis and outline future prospects for accurate in vivo flux measurement.

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Noninvasive NMR studies of metabolism in cultured Catharanthus roseus cells

Cited by 5 publications

References 52 publications

Untitled

Untitled

Metabolic flux analysis in plants: coping with complexity

The benefits of being transient: isotope-based metabolic flux analysis at the short time scale

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