Literature DB >> 25456032

(13)C metabolic flux analysis of recombinant expression hosts.

Jamey D Young1.   

Abstract

Identifying host cell metabolic phenotypes that promote high recombinant protein titer is a major goal of the biotech industry. (13)C metabolic flux analysis (MFA) provides a rigorous approach to quantify these metabolic phenotypes by applying isotope tracers to map the flow of carbon through intracellular metabolic pathways. Recent advances in tracer theory and measurements are enabling more information to be extracted from (13)C labeling experiments. Sustained development of publicly available software tools and standardization of experimental workflows is simultaneously encouraging increased adoption of (13)C MFA within the biotech research community. A number of recent (13)C MFA studies have identified increased citric acid cycle and pentose phosphate pathway fluxes as consistent markers of high recombinant protein expression, both in mammalian and microbial hosts. Further work is needed to determine whether redirecting flux into these pathways can effectively enhance protein titers while maintaining acceptable glycan profiles.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 25456032     DOI: 10.1016/j.copbio.2014.10.004

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  7 in total

1.  Simultaneous detection of nicotinamide adenine nucleotides and adenylate pool to quantify redox and energy states in mAb-producing CHO cells by capillary electrophoresis.

Authors:  Jiaqi Wang; Chen Wang; Li Fan; Liang Zhao; Wen-Song Tan
Journal:  Anal Bioanal Chem       Date:  2019-03-28       Impact factor: 4.142

2.  Genome-Scale Fluxome of Synechococcus elongatus UTEX 2973 Using Transient 13C-Labeling Data.

Authors:  John I Hendry; Saratram Gopalakrishnan; Justin Ungerer; Himadri B Pakrasi; Yinjie J Tang; Costas D Maranas
Journal:  Plant Physiol       Date:  2018-12-14       Impact factor: 8.340

3.  High-throughput evaluation of synthetic metabolic pathways.

Authors:  Justin R Klesmith; Timothy A Whitehead
Journal:  Technology (Singap World Sci)       Date:  2015-12-16

4.  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

Review 5.  13C-Metabolic Flux Analysis: An Accurate Approach to Demystify Microbial Metabolism for Biochemical Production.

Authors:  Weihua Guo; Jiayuan Sheng; Xueyang Feng
Journal:  Bioengineering (Basel)       Date:  2015-12-25

6.  Identifying model error in metabolic flux analysis - a generalized least squares approach.

Authors:  Stanislav Sokolenko; Marco Quattrociocchi; Marc G Aucoin
Journal:  BMC Syst Biol       Date:  2016-09-13

7.  Evaluation of freely available software tools for untargeted quantification of 13C isotopic enrichment in cellular metabolome from HR-LC/MS data.

Authors:  Manohar C Dange; Vivek Mishra; Bratati Mukherjee; Damini Jaiswal; Murtaza S Merchant; Charulata B Prasannan; Pramod P Wangikar
Journal:  Metab Eng Commun       Date:  2019-12-26
  7 in total

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