Literature DB >> 23893473

IsoDesign: a software for optimizing the design of 13C-metabolic flux analysis experiments.

Pierre Millard1, Serguei Sokol, Fabien Letisse, Jean-Charles Portais.   

Abstract

The growing demand for (13) C-metabolic flux analysis ((13) C-MFA) in the field of metabolic engineering and systems biology is driving the need to rationalize expensive and time-consuming (13) C-labeling experiments. Experimental design is a key step in improving both the number of fluxes that can be calculated from a set of isotopic data and the precision of flux values. We present IsoDesign, a software that enables these parameters to be maximized by optimizing the isotopic composition of the label input. It can be applied to (13) C-MFA investigations using a broad panel of analytical tools (MS, MS/MS, (1) H NMR, (13) C NMR, etc.) individually or in combination. It includes a visualization module to intuitively select the optimal label input depending on the biological question to be addressed. Applications of IsoDesign are described, with an example of the entire (13) C-MFA workflow from the experimental design to the flux map including important practical considerations. IsoDesign makes the experimental design of (13) C-MFA experiments more accessible to a wider biological community. IsoDesign is distributed under an open source license at http://metasys.insa-toulouse.fr/software/isodes/
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  13C-metabolic flux analysis; MS; NMR; experimental design; isotope labeling experiments

Mesh:

Substances:

Year:  2013        PMID: 23893473     DOI: 10.1002/bit.24997

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  11 in total

Review 1.  Understanding metabolism with flux analysis: From theory to application.

Authors:  Ziwei Dai; Jason W Locasale
Journal:  Metab Eng       Date:  2016-09-22       Impact factor: 9.783

2.  Exploring the Glucose Fluxotype of the E. coli y-ome Using High-Resolution Fluxomics.

Authors:  Cécilia Bergès; Edern Cahoreau; Pierre Millard; Brice Enjalbert; Mickael Dinclaux; Maud Heuillet; Hanna Kulyk; Lara Gales; Noémie Butin; Maxime Chazalviel; Tony Palama; Matthieu Guionnet; Sergueï Sokol; Lindsay Peyriga; Floriant Bellvert; Stéphanie Heux; Jean-Charles Portais
Journal:  Metabolites       Date:  2021-04-26

3.  OpenFLUX2: (13)C-MFA modeling software package adjusted for the comprehensive analysis of single and parallel labeling experiments.

Authors:  Mikhail S Shupletsov; Lyubov I Golubeva; Svetlana S Rubina; Dmitry A Podvyaznikov; Shintaro Iwatani; Sergey V Mashko
Journal:  Microb Cell Fact       Date:  2014-11-19       Impact factor: 5.328

4.  Multilevel interaction of the DnaK/DnaJ(HSP70/HSP40) stress-responsive chaperone machine with the central metabolism.

Authors:  Fréderic Anglès; Marie-Pierre Castanié-Cornet; Nawel Slama; Mickael Dinclaux; Anne-Marie Cirinesi; Jean-Charles Portais; Fabien Létisse; Pierre Genevaux
Journal:  Sci Rep       Date:  2017-01-27       Impact factor: 4.379

5.  Investigation of useful carbon tracers for 13C-metabolic flux analysis of Escherichia coli by considering five experimentally determined flux distributions.

Authors:  Kousuke Maeda; Nobuyuki Okahashi; Yoshihiro Toya; Fumio Matsuda; Hiroshi Shimizu
Journal:  Metab Eng Commun       Date:  2016-06-07

6.  The Design of FluxML: A Universal Modeling Language for 13C Metabolic Flux Analysis.

Authors:  Martin Beyß; Salah Azzouzi; Michael Weitzel; Wolfgang Wiechert; Katharina Nöh
Journal:  Front Microbiol       Date:  2019-05-24       Impact factor: 5.640

7.  Impact of kinetic isotope effects in isotopic studies of metabolic systems.

Authors:  Pierre Millard; Jean-Charles Portais; Pedro Mendes
Journal:  BMC Syst Biol       Date:  2015-09-26

8.  SUMOFLUX: A Generalized Method for Targeted 13C Metabolic Flux Ratio Analysis.

Authors:  Maria Kogadeeva; Nicola Zamboni
Journal:  PLoS Comput Biol       Date:  2016-09-14       Impact factor: 4.475

Review 9.  Quantification of Microbial Phenotypes.

Authors:  Verónica S Martínez; Jens O Krömer
Journal:  Metabolites       Date:  2016-12-09

10.  ScalaFlux: A scalable approach to quantify fluxes in metabolic subnetworks.

Authors:  Pierre Millard; Uwe Schmitt; Patrick Kiefer; Julia A Vorholt; Stéphanie Heux; Jean-Charles Portais
Journal:  PLoS Comput Biol       Date:  2020-04-14       Impact factor: 4.475

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