Literature DB >> 26666286

MID Max: LC-MS/MS Method for Measuring the Precursor and Product Mass Isotopomer Distributions of Metabolic Intermediates and Cofactors for Metabolic Flux Analysis Applications.

Douglas McCloskey1, Jamey D Young, Sibei Xu1, Bernhard O Palsson1,2, Adam M Feist1,2.   

Abstract

The analytical challenges to acquire accurate isotopic data of intracellular metabolic intermediates for stationary, nonstationary, and dynamic metabolic flux analysis (MFA) are numerous. This work presents MID Max, a novel LC-MS/MS workflow, acquisition, and isotopomer deconvolution method for MFA that takes advantage of additional scan types that maximizes the number of mass isotopomer distributions (MIDs) that can be acquired in a given experiment. The analytical method was found to measure the MIDs of 97 metabolites, corresponding to 74 unique metabolite-fragment pairs (32 precursor spectra and 42 product spectra) with accuracy and precision. The compounds measured included metabolic intermediates in central carbohydrate metabolism and cofactors of peripheral metabolism (e.g., ATP). Using only a subset of the acquired MIDs, the method was found to improve the precision of flux estimations and number of resolved exchange fluxes for wild-type E. coli compared to traditional methods and previously published data sets.

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Year:  2015        PMID: 26666286     DOI: 10.1021/acs.analchem.5b03887

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  13 in total

1.  Multiple Optimal Phenotypes Overcome Redox and Glycolytic Intermediate Metabolite Imbalances in Escherichia coli pgi Knockout Evolutions.

Authors:  Douglas McCloskey; Sibei Xu; Troy E Sandberg; Elizabeth Brunk; Ying Hefner; Richard Szubin; Adam M Feist; Bernhard O Palsson
Journal:  Appl Environ Microbiol       Date:  2018-09-17       Impact factor: 4.792

2.  Comprehensive metabolic modeling of multiple 13C-isotopomer data sets to study metabolism in perfused working hearts.

Authors:  Scott B Crown; Joanne K Kelleher; Rosanne Rouf; Deborah M Muoio; Maciek R Antoniewicz
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-08-05       Impact factor: 4.733

3.  Comprehensive Isotopic Targeted Mass Spectrometry: Reliable Metabolic Flux Analysis with Broad Coverage.

Authors:  Xiaojian Shi; Bowei Xi; Paniz Jasbi; Cassidy Turner; Yan Jin; Haiwei Gu
Journal:  Anal Chem       Date:  2020-08-10       Impact factor: 6.986

4.  Optimal tracers for parallel labeling experiments and 13C metabolic flux analysis: A new precision and synergy scoring system.

Authors:  Scott B Crown; Christopher P Long; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-06-04       Impact factor: 9.783

5.  High-resolution 13C metabolic flux analysis.

Authors:  Christopher P Long; Maciek R Antoniewicz
Journal:  Nat Protoc       Date:  2019-08-30       Impact factor: 13.491

6.  Comprehensive and accurate tracking of carbon origin of LC-tandem mass spectrometry collisional fragments for 13C-MFA.

Authors:  Jannick Kappelmann; Bianca Klein; Petra Geilenkirchen; Stephan Noack
Journal:  Anal Bioanal Chem       Date:  2017-01-23       Impact factor: 4.142

7.  Implementation of data-dependent isotopologue fragmentation in 13C-based metabolic flux analysis.

Authors:  Teresa Mairinger; Stephan Hann
Journal:  Anal Bioanal Chem       Date:  2017-04-07       Impact factor: 4.142

8.  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

9.  Regulatory mechanisms underlying coordination of amino acid and glucose catabolism in Escherichia coli.

Authors:  Mattia Zampieri; Manuel Hörl; Florian Hotz; Nicola F Müller; Uwe Sauer
Journal:  Nat Commun       Date:  2019-07-26       Impact factor: 14.919

10.  Evolution of gene knockout strains of E. coli reveal regulatory architectures governed by metabolism.

Authors:  Douglas McCloskey; Sibei Xu; Troy E Sandberg; Elizabeth Brunk; Ying Hefner; Richard Szubin; Adam M Feist; Bernhard O Palsson
Journal:  Nat Commun       Date:  2018-09-18       Impact factor: 14.919

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