Literature DB >> 17481942

Fluxomics: mass spectrometry versus quantitative imaging.

Wolfgang Wiechert1, Oliver Schweissgut, Hitomi Takanaga, Wolf B Frommer.   

Abstract

The recent development of analytic high-throughput technologies enables us to take a bird's view of how metabolism is regulated in real time. We have known for a long time that metabolism is highly regulated at all levels, including transcriptional, posttranslational and allosteric controls. Flux through a metabolic or signaling pathway is determined by the activity of its individual components. Fluxomics aims to define the genes involved in regulation by following the flux. Two technologies are used to monitor fluxes. Pulse labeling of the organism or cell with a tracer, such as 13C, followed by mass spectrometric analysis of the partitioning of label into different compounds provides an efficient tool to study flux and to compare the effect of mutations on flux. 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. In contrast to the mass spectrometry assays, FRET nanosensors monitor only a single compound. Both methods provide high time resolution. The major advantages of FRET nanosensors are that they yield data with cellular and subcellular resolution and the method is minimally invasive.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17481942      PMCID: PMC2992557          DOI: 10.1016/j.pbi.2007.04.015

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  52 in total

Review 1.  13C metabolic flux analysis.

Authors:  W Wiechert
Journal:  Metab Eng       Date:  2001-07       Impact factor: 9.783

2.  Metabolic isotopomer labeling systems. Part I: global dynamic behavior.

Authors:  W Wiechert; M Wurzel
Journal:  Math Biosci       Date:  2001-02       Impact factor: 2.144

Review 3.  In vivo measurement of fluxes through metabolic pathways: the missing link in functional genomics and pharmaceutical research.

Authors:  Marc K Hellerstein
Journal:  Annu Rev Nutr       Date:  2003-04-16       Impact factor: 11.848

Review 4.  Flux an important, but neglected, component of functional genomics.

Authors:  Alisdair R Fernie; Peter Geigenberger; Mark Stitt
Journal:  Curr Opin Plant Biol       Date:  2005-04       Impact factor: 7.834

5.  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

6.  Elementary metabolite units (EMU): a novel framework for modeling isotopic distributions.

Authors:  Maciek R Antoniewicz; Joanne K Kelleher; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2006-09-17       Impact factor: 9.783

7.  Rapid metabolism of glucose detected with FRET glucose nanosensors in epidermal cells and intact roots of Arabidopsis RNA-silencing mutants.

Authors:  Karen Deuschle; Bhavna Chaudhuri; Sakiko Okumoto; Ida Lager; Sylvie Lalonde; Wolf B Frommer
Journal:  Plant Cell       Date:  2006-08-25       Impact factor: 11.277

8.  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

9.  Metabolic flux and metabolic network analysis of Penicillium chrysogenum using 2D [13C, 1H] COSY NMR measurements and cumulative bondomer simulation.

Authors:  Wouter A van Winden; Walter M van Gulik; Dick Schipper; Peter J T Verheijen; Preben Krabben; Jacobus L Vinke; Joseph J Heijnen
Journal:  Biotechnol Bioeng       Date:  2003-07-05       Impact factor: 4.530

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

View more
  20 in total

1.  CeCaFDB: a curated database for the documentation, visualization and comparative analysis of central carbon metabolic flux distributions explored by 13C-fluxomics.

Authors:  Zhengdong Zhang; Tie Shen; Bin Rui; Wenwei Zhou; Xiangfei Zhou; Chuanyu Shang; Chenwei Xin; Xiaoguang Liu; Gang Li; Jiansi Jiang; Chao Li; Ruiyuan Li; Mengshu Han; Shanping You; Guojun Yu; Yin Yi; Han Wen; Zhijie Liu; Xiaoyao Xie
Journal:  Nucleic Acids Res       Date:  2014-11-11       Impact factor: 16.971

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

Authors:  Clara Bermejo; Farzad Haerizadeh; Hitomi Takanaga; Diane Chermak; Wolf B Frommer
Journal:  Nat Protoc       Date:  2011-10-27       Impact factor: 13.491

3.  On the discordance of metabolomics with proteomics and transcriptomics: coping with increasing complexity in logic, chemistry, and network interactions scientific correspondence.

Authors:  Alisdair R Fernie; Mark Stitt
Journal:  Plant Physiol       Date:  2012-01-17       Impact factor: 8.340

Review 4.  Information processing without brains--the power of intercellular regulators in plants.

Authors:  Wolfgang Busch; Philip N Benfey
Journal:  Development       Date:  2010-04       Impact factor: 6.868

5.  Linking post-translational modifications and variation of phenotypic traits.

Authors:  Warren Albertin; Philippe Marullo; Marina Bely; Michel Aigle; Aurélie Bourgais; Olivier Langella; Thierry Balliau; Didier Chevret; Benoît Valot; Telma da Silva; Christine Dillmann; Dominique de Vienne; Delphine Sicard
Journal:  Mol Cell Proteomics       Date:  2012-12-27       Impact factor: 5.911

6.  13C-flux analysis reveals NADPH-balancing transhydrogenation cycles in stationary phase of nitrogen-starving Bacillus subtilis.

Authors:  Martin Rühl; Dominique Le Coq; Stéphane Aymerich; Uwe Sauer
Journal:  J Biol Chem       Date:  2012-06-27       Impact factor: 5.157

Review 7.  In-depth metabolic phenotyping of genetically engineered mouse models in obesity and diabetes.

Authors:  Hui-Young Lee; Kyeong-Hoon Jeong; Cheol Soo Choi
Journal:  Mamm Genome       Date:  2014-05-03       Impact factor: 2.957

8.  Elements required for an efficient NADP-malic enzyme type C4 photosynthesis.

Authors:  Yu Wang; Stephen P Long; Xin-Guang Zhu
Journal:  Plant Physiol       Date:  2014-02-12       Impact factor: 8.340

Review 9.  Comparison of quantitative metabolite imaging tools and carbon-13 techniques for fluxomics.

Authors:  Totte Niittylae; Bhavna Chaudhuri; Uwe Sauer; Wolf B Frommer
Journal:  Methods Mol Biol       Date:  2009

10.  Resolving the role of plant glutamate dehydrogenase. I. In vivo real time nuclear magnetic resonance spectroscopy experiments.

Authors:  Soraya Labboun; Thérèse Tercé-Laforgue; Albrecht Roscher; Magali Bedu; Francesco M Restivo; Christos N Velanis; Damianos S Skopelitis; Panagiotis N Moschou; Panagiotis N Moshou; Kalliopi A Roubelakis-Angelakis; Akira Suzuki; Bertrand Hirel
Journal:  Plant Cell Physiol       Date:  2009-08-18       Impact factor: 4.927

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.