Literature DB >> 25208224

Quantifying biomass composition by gas chromatography/mass spectrometry.

Christopher P Long1, Maciek R Antoniewicz.   

Abstract

We developed a set of methods for the quantification of four major components of microbial biomass using gas chromatography/mass spectrometry (GC/MS). Specifically, methods are described to quantify amino acids, RNA, fatty acids, and glycogen, which comprise an estimated 88% of the dry weight of Escherichia coli. Quantification is performed by isotope ratio analysis with fully (13)C-labeled biomass as internal standard, which is generated by growing E. coli on [U-(13)C]glucose. This convenient, reliable, and accurate single-platform (GC/MS) workflow for measuring biomass composition offers significant advantages over existing methods. We demonstrate the consistency, accuracy, precision, and utility of this procedure by applying it to three metabolically unique E. coli strains. The presented methods will have widespread applicability in systems microbiology and bioengineering.

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Year:  2014        PMID: 25208224      PMCID: PMC5842031          DOI: 10.1021/ac502734e

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


  21 in total

1.  Effect of Escherichia coli biomass composition on central metabolic fluxes predicted by a stoichiometric model.

Authors:  J Pramanik; J D Keasling
Journal:  Biotechnol Bioeng       Date:  1998-10-20       Impact factor: 4.530

2.  COMPLETE-MFA: complementary parallel labeling experiments technique for metabolic flux analysis.

Authors:  Robert W Leighty; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2013-09-08       Impact factor: 9.783

3.  Accurate assessment of amino acid mass isotopomer distributions for metabolic flux analysis.

Authors:  Maciek R Antoniewicz; Joanne K Kelleher; Gregory Stephanopoulos
Journal:  Anal Chem       Date:  2007-09-07       Impact factor: 6.986

4.  Absolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach.

Authors:  Bryson D Bennett; Jie Yuan; Elizabeth H Kimball; Joshua D Rabinowitz
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

Review 5.  Parallel labeling experiments and metabolic flux analysis: Past, present and future methodologies.

Authors:  Scott B Crown; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2012-12-14       Impact factor: 9.783

6.  Determining Actinobacillus succinogenes metabolic pathways and fluxes by NMR and GC-MS analyses of 13C-labeled metabolic product isotopomers.

Authors:  James B McKinlay; Yair Shachar-Hill; J Gregory Zeikus; Claire Vieille
Journal:  Metab Eng       Date:  2006-11-17       Impact factor: 9.783

7.  A simplification of the protein assay method of Lowry et al. which is more generally applicable.

Authors:  G L Peterson
Journal:  Anal Biochem       Date:  1977-12       Impact factor: 3.365

8.  Metabolic network reconstruction, growth characterization and 13C-metabolic flux analysis of the extremophile Thermus thermophilus HB8.

Authors:  Aditi Swarup; Jing Lu; Kathleen C DeWoody; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2014-06-05       Impact factor: 9.783

9.  Rapid, colorimetric quantification of lipid from algal cultures.

Authors:  Boris Wawrik; Brian H Harriman
Journal:  J Microbiol Methods       Date:  2010-01-20       Impact factor: 2.363

10.  Measurement of protein using bicinchoninic acid.

Authors:  P K Smith; R I Krohn; G T Hermanson; A K Mallia; F H Gartner; M D Provenzano; E K Fujimoto; N M Goeke; B J Olson; D C Klenk
Journal:  Anal Biochem       Date:  1985-10       Impact factor: 3.365

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  31 in total

1.  Heterotrophic bacteria from an extremely phosphate-poor lake have conditionally reduced phosphorus demand and utilize diverse sources of phosphorus.

Authors:  Mengyin Yao; Felix J Elling; CarriAyne Jones; Sulung Nomosatryo; Christopher P Long; Sean A Crowe; Maciek R Antoniewicz; Kai-Uwe Hinrichs; Julia A Maresca
Journal:  Environ Microbiol       Date:  2015-12-02       Impact factor: 5.491

2.  Aldolase B-Mediated Fructose Metabolism Drives Metabolic Reprogramming of Colon Cancer Liver Metastasis.

Authors:  Pengcheng Bu; Kai-Yuan Chen; Kun Xiang; Christelle Johnson; Scott B Crown; Nikolai Rakhilin; Yiwei Ai; Lihua Wang; Rui Xi; Inna Astapova; Yan Han; Jiahe Li; Bradley B Barth; Min Lu; Ziyang Gao; Robert Mines; Liwen Zhang; Mark Herman; David Hsu; Guo-Fang Zhang; Xiling Shen
Journal:  Cell Metab       Date:  2018-04-26       Impact factor: 27.287

3.  Co-utilization of glucose and xylose by evolved Thermus thermophilus LC113 strain elucidated by (13)C metabolic flux analysis and whole genome sequencing.

Authors:  Lauren T Cordova; Jing Lu; Robert M Cipolla; Nicholas R Sandoval; Christopher P Long; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-05-07       Impact factor: 9.783

4.  Fast growth phenotype of E. coli K-12 from adaptive laboratory evolution does not require intracellular flux rewiring.

Authors:  Christopher P Long; Jacqueline E Gonzalez; Adam M Feist; Bernhard O Palsson; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2017-09-23       Impact factor: 9.783

5.  Predicting Dynamic Metabolic Demands in the Photosynthetic Eukaryote Chlorella vulgaris.

Authors:  Cristal Zuñiga; Jennifer Levering; Maciek R Antoniewicz; Michael T Guarnieri; Michael J Betenbaugh; Karsten Zengler
Journal:  Plant Physiol       Date:  2017-09-26       Impact factor: 8.340

Review 6.  Methods and advances in metabolic flux analysis: a mini-review.

Authors:  Maciek R Antoniewicz
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-23       Impact factor: 3.346

7.  Model-enabled gene search (MEGS) allows fast and direct discovery of enzymatic and transport gene functions in the marine bacterium Vibrio fischeri.

Authors:  Shu Pan; Kiel Nikolakakis; Paul A Adamczyk; Min Pan; Edward G Ruby; Jennifer L Reed
Journal:  J Biol Chem       Date:  2017-04-26       Impact factor: 5.157

8.  Complete genome sequence, metabolic model construction and phenotypic characterization of Geobacillus LC300, an extremely thermophilic, fast growing, xylose-utilizing bacterium.

Authors:  Lauren T Cordova; Christopher P Long; Keerthi P Venkataramanan; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2015-09-21       Impact factor: 9.783

9.  Enzymatic passaging of human embryonic stem cells alters central carbon metabolism and glycan abundance.

Authors:  Mehmet G Badur; Hui Zhang; Christian M Metallo
Journal:  Biotechnol J       Date:  2015-09-10       Impact factor: 4.677

10.  13C metabolic flux analysis of microbial and mammalian systems is enhanced with GC-MS measurements of glycogen and RNA labeling.

Authors:  Christopher P Long; Jennifer Au; Jacqueline E Gonzalez; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-06-22       Impact factor: 9.783

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