Literature DB >> 26099571

Optimizing eukaryotic cell hosts for protein production through systems biotechnology and genome-scale modeling.

Jahir M Gutierrez1,2, Nathan E Lewis3,4.   

Abstract

Eukaryotic cell lines, including Chinese hamster ovary cells, yeast, and insect cells, are invaluable hosts for the production of many recombinant proteins. With the advent of genomic resources, one can now leverage genome-scale computational modeling of cellular pathways to rationally engineer eukaryotic host cells. Genome-scale models of metabolism include all known biochemical reactions occurring in a specific cell. By describing these mathematically and using tools such as flux balance analysis, the models can simulate cell physiology and provide targets for cell engineering that could lead to enhanced cell viability, titer, and productivity. Here we review examples in which metabolic models in eukaryotic cell cultures have been used to rationally select targets for genetic modification, improve cellular metabolic capabilities, design media supplementation, and interpret high-throughput omics data. As more comprehensive models of metabolism and other cellular processes are developed for eukaryotic cell culture, these will enable further exciting developments in cell line engineering, thus accelerating recombinant protein production and biotechnology in the years to come.
Copyright © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Eukaryotic cell engineering; Genome-scale models; Metabolic networks; Recombinant protein production; Systems Biology

Mesh:

Substances:

Year:  2015        PMID: 26099571     DOI: 10.1002/biot.201400647

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  8 in total

Review 1.  Modulating carbohydrate-protein interactions through glycoengineering of monoclonal antibodies to impact cancer physiology.

Authors:  Austin Wt Chiang; Shangzhong Li; Philipp N Spahn; Anne Richelle; Chih-Chung Kuo; Mojtaba Samoudi; Nathan E Lewis
Journal:  Curr Opin Struct Biol       Date:  2016-09-14       Impact factor: 6.809

2.  Applications of a metabolic network model of mesenchymal stem cells for controlling cell proliferation and differentiation.

Authors:  Hamideh Fouladiha; Sayed-Amir Marashi; Mohammad Ali Shokrgozar; Mehdi Farokhi; Amir Atashi
Journal:  Cytotechnology       Date:  2017-10-04       Impact factor: 2.058

3.  A Consensus Genome-scale Reconstruction of Chinese Hamster Ovary Cell Metabolism.

Authors:  Hooman Hefzi; Kok Siong Ang; Michael Hanscho; Aarash Bordbar; David Ruckerbauer; Meiyappan Lakshmanan; Camila A Orellana; Deniz Baycin-Hizal; Yingxiang Huang; Daniel Ley; Veronica S Martinez; Sarantos Kyriakopoulos; Natalia E Jiménez; Daniel C Zielinski; Lake-Ee Quek; Tune Wulff; Johnny Arnsdorf; Shangzhong Li; Jae Seong Lee; Giuseppe Paglia; Nicolas Loira; Philipp N Spahn; Lasse E Pedersen; Jahir M Gutierrez; Zachary A King; Anne Mathilde Lund; Harish Nagarajan; Alex Thomas; Alyaa M Abdel-Haleem; Juergen Zanghellini; Helene F Kildegaard; Bjørn G Voldborg; Ziomara P Gerdtzen; Michael J Betenbaugh; Bernhard O Palsson; Mikael R Andersen; Lars K Nielsen; Nicole Borth; Dong-Yup Lee; Nathan E Lewis
Journal:  Cell Syst       Date:  2016-11-23       Impact factor: 10.304

4.  Improvements in protein production in mammalian cells from targeted metabolic engineering.

Authors:  Anne Richelle; Nathan E Lewis
Journal:  Curr Opin Syst Biol       Date:  2017-06-06

5.  A metabolic CRISPR-Cas9 screen in Chinese hamster ovary cells identifies glutamine-sensitive genes.

Authors:  Karen Julie la Cour Karottki; Hooman Hefzi; Songyuan Li; Lasse Ebdrup Pedersen; Philipp N Spahn; Chintan Joshi; David Ruckerbauer; Juan A Hernandez Bort; Alex Thomas; Jae Seong Lee; Nicole Borth; Gyun Min Lee; Helene Faustrup Kildegaard; Nathan E Lewis
Journal:  Metab Eng       Date:  2021-04-01       Impact factor: 8.829

6.  Combating viral contaminants in CHO cells by engineering innate immunity.

Authors:  Austin W T Chiang; Shangzhong Li; Benjamin P Kellman; Gouri Chattopadhyay; Yaqin Zhang; Chih-Chung Kuo; Jahir M Gutierrez; Faezeh Ghazi; Hana Schmeisser; Patrice Ménard; Sara Petersen Bjørn; Bjørn G Voldborg; Amy S Rosenberg; Montserrat Puig; Nathan E Lewis
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

7.  Inclusion of maintenance energy improves the intracellular flux predictions of CHO.

Authors:  Diana Széliová; Jerneja Štor; Isabella Thiel; Marcus Weinguny; Michael Hanscho; Gabriele Lhota; Nicole Borth; Jürgen Zanghellini; David E Ruckerbauer; Isabel Rocha
Journal:  PLoS Comput Biol       Date:  2021-06-11       Impact factor: 4.779

8.  Genome-scale reconstructions of the mammalian secretory pathway predict metabolic costs and limitations of protein secretion.

Authors:  Jahir M Gutierrez; Amir Feizi; Shangzhong Li; Thomas B Kallehauge; Hooman Hefzi; Lise M Grav; Daniel Ley; Deniz Baycin Hizal; Michael J Betenbaugh; Bjorn Voldborg; Helene Faustrup Kildegaard; Gyun Min Lee; Bernhard O Palsson; Jens Nielsen; Nathan E Lewis
Journal:  Nat Commun       Date:  2020-01-02       Impact factor: 14.919

  8 in total

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