Literature DB >> 19588116

Comparison of quantitative metabolite imaging tools and carbon-13 techniques for fluxomics.

Totte Niittylae1, Bhavna Chaudhuri, Uwe Sauer, Wolf B Frommer.   

Abstract

The recent development of analytic technologies allows fast analysis of metabolism in real time. Fluxomics aims to define the genes involved in regulation of flux through a metabolic or signaling pathway. Flux through a metabolic or signaling pathway is determined by the activity of its individual components; regulation can occur at many levels, including transcriptional, posttranslational, and allosteric levels. Currently two technologies are used to monitor fluxes. The first is pulse labeling of the organism with a tracer such as C13, followed by mass spectrometric analysis of the partitioning of label into different compounds. The second approach is based on the use of flux sensors, proteins that respond with a conformational change to ligand binding. Fluorescence resonance energy transfer (FRET) detects the conformational change and serves as a proxy for ligand concentration. Both methods provide high time resolution. In contrast to mass spectrometry assays, FRET nanosensors monitor only a single compound, but the advantage of FRET nanosensors is that they yield data with cellular and subcellular resolution.

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Year:  2009        PMID: 19588116      PMCID: PMC3000467          DOI: 10.1007/978-1-60327-563-7_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  63 in total

1.  Spectral imaging and linear un-mixing enables improved FRET efficiency with a novel GFP2-YFP FRET pair.

Authors:  Timo Zimmermann; Jens Rietdorf; Andreas Girod; Virginie Georget; Rainer Pepperkok
Journal:  FEBS Lett       Date:  2002-11-06       Impact factor: 4.124

2.  Photobleaching-corrected FRET efficiency imaging of live cells.

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Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

Review 3.  Fanciful FRET.

Authors:  Steven S Vogel; Christopher Thaler; Srinagesh V Koushik
Journal:  Sci STKE       Date:  2006-04-18

4.  Computational tools for isotopically instationary 13C labeling experiments under metabolic steady state conditions.

Authors:  Katharina Nöh; Aljoscha Wahl; Wolfgang Wiechert
Journal:  Metab Eng       Date:  2006-06-12       Impact factor: 9.783

Review 5.  In vivo stationary flux analysis by 13C labeling experiments.

Authors:  W Wiechert; A A de Graaf
Journal:  Adv Biochem Eng Biotechnol       Date:  1996       Impact factor: 2.635

6.  A novel analytical method for in vivo phosphate tracking.

Authors:  Hong Gu; Sylvie Lalonde; Sakiko Okumoto; Loren L Looger; Anne Marie Scharff-Poulsen; Arthur R Grossman; Jens Kossmann; Iver Jakobsen; Wolf B Frommer
Journal:  FEBS Lett       Date:  2006-10-02       Impact factor: 4.124

Review 7.  Transport of primary metabolites across the plant vacuolar membrane.

Authors:  H Ekkehard Neuhaus
Journal:  FEBS Lett       Date:  2007-02-12       Impact factor: 4.124

8.  Protonophore- and pH-insensitive glucose and sucrose accumulation detected by FRET nanosensors in Arabidopsis root tips.

Authors:  Bhavna Chaudhuri; Friederike Hörmann; Sylvie Lalonde; Siobhan M Brady; David A Orlando; Philip Benfey; Wolf B Frommer
Journal:  Plant J       Date:  2008-09-18       Impact factor: 6.417

9.  GLUT1 and GLUT9 as major contributors to glucose influx in HepG2 cells identified by a high sensitivity intramolecular FRET glucose sensor.

Authors:  Hitomi Takanaga; Bhavna Chaudhuri; Wolf B Frommer
Journal:  Biochim Biophys Acta       Date:  2007-12-14

Review 10.  Metabolic networks in motion: 13C-based flux analysis.

Authors:  Uwe Sauer
Journal:  Mol Syst Biol       Date:  2006-11-14       Impact factor: 11.429

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  7 in total

1.  Optical sensors for measuring dynamic changes of cytosolic metabolite levels in yeast.

Authors:  Clara Bermejo; Farzad Haerizadeh; Hitomi Takanaga; Diane Chermak; Wolf B Frommer
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Review 2.  Targeting mitochondrial metabolism and machinery as a means to enhance photosynthesis.

Authors:  Adriano Nunes-Nesi; Wagner L Araújo; Alisdair R Fernie
Journal:  Plant Physiol       Date:  2010-10-21       Impact factor: 8.340

3.  A Tandem Liquid Chromatography-Mass Spectrometry-based Approach for Metabolite Analysis of Staphylococcus aureus.

Authors:  David J Samuels; Zhe Wang; Kyu Y Rhee; Shaun R Brinsmade
Journal:  J Vis Exp       Date:  2017-03-28       Impact factor: 1.355

4.  Whole-genome metabolic network reconstruction and constraint-based modeling.

Authors:  Charles R Haggart; Jennifer A Bartell; Jeffrey J Saucerman; Jason A Papin
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

5.  Micro Imaging Displays the Sucrose Landscape within and along Its Allocation Pathways.

Authors:  André Guendel; Hardy Rolletschek; Steffen Wagner; Aleksandra Muszynska; Ljudmilla Borisjuk
Journal:  Plant Physiol       Date:  2018-10-01       Impact factor: 8.340

6.  Engineering genetically encoded nanosensors for real-time in vivo measurements of citrate concentrations.

Authors:  Jennifer C Ewald; Sabrina Reich; Stephan Baumann; Wolf B Frommer; Nicola Zamboni
Journal:  PLoS One       Date:  2011-12-02       Impact factor: 3.240

Review 7.  Fluxomics - New Metabolomics Approaches to Monitor Metabolic Pathways.

Authors:  Abdul-Hamid Emwas; Kacper Szczepski; Inas Al-Younis; Joanna Izabela Lachowicz; Mariusz Jaremko
Journal:  Front Pharmacol       Date:  2022-03-21       Impact factor: 5.810

  7 in total

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