Literature DB >> 27883890

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

Hooman Hefzi1, Kok Siong Ang2, Michael Hanscho3, Aarash Bordbar4, David Ruckerbauer3, Meiyappan Lakshmanan5, Camila A Orellana6, Deniz Baycin-Hizal7, Yingxiang Huang8, Daniel Ley9, Veronica S Martinez6, Sarantos Kyriakopoulos5, Natalia E Jiménez10, Daniel C Zielinski4, Lake-Ee Quek6, Tune Wulff11, Johnny Arnsdorf11, Shangzhong Li1, Jae Seong Lee11, Giuseppe Paglia12, Nicolas Loira10, Philipp N Spahn1, Lasse E Pedersen11, Jahir M Gutierrez1, Zachary A King4, Anne Mathilde Lund9, Harish Nagarajan8, Alex Thomas13, Alyaa M Abdel-Haleem14, Juergen Zanghellini3, Helene F Kildegaard11, Bjørn G Voldborg11, Ziomara P Gerdtzen10, Michael J Betenbaugh7, Bernhard O Palsson15, Mikael R Andersen16, Lars K Nielsen6, Nicole Borth17, Dong-Yup Lee18, Nathan E Lewis19.   

Abstract

Chinese hamster ovary (CHO) cells dominate biotherapeutic protein production and are widely used in mammalian cell line engineering research. To elucidate metabolic bottlenecks in protein production and to guide cell engineering and bioprocess optimization, we reconstructed the metabolic pathways in CHO and associated them with >1,700 genes in the Cricetulus griseus genome. The genome-scale metabolic model based on this reconstruction, iCHO1766, and cell-line-specific models for CHO-K1, CHO-S, and CHO-DG44 cells provide the biochemical basis of growth and recombinant protein production. The models accurately predict growth phenotypes and known auxotrophies in CHO cells. With the models, we quantify the protein synthesis capacity of CHO cells and demonstrate that common bioprocess treatments, such as histone deacetylase inhibitors, inefficiently increase product yield. However, our simulations show that the metabolic resources in CHO are more than three times more efficiently utilized for growth or recombinant protein synthesis following targeted efforts to engineer the CHO secretory pathway. This model will further accelerate CHO cell engineering and help optimize bioprocesses. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CHO; Chinese hamster ovary; biotherapeutic protein production; genome-scale model; metabolic network; systems biology

Mesh:

Substances:

Year:  2016        PMID: 27883890      PMCID: PMC5132346          DOI: 10.1016/j.cels.2016.10.020

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  76 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Analysis of CHO cells metabolic redistribution in a glutamate-based defined medium in continuous culture.

Authors:  C Altamirano; A Illanes; A Casablancas; X Gámez; J J Cairó; C Gòdia
Journal:  Biotechnol Prog       Date:  2001 Nov-Dec

3.  Dynamic model of CHO cell metabolism.

Authors:  Ryan P Nolan; Kyongbum Lee
Journal:  Metab Eng       Date:  2010-10-07       Impact factor: 9.783

4.  Biopharmaceutical benchmarks 2014.

Authors:  Gary Walsh
Journal:  Nat Biotechnol       Date:  2014-10       Impact factor: 54.908

Review 5.  CHOgenome.org 2.0: Genome resources and website updates.

Authors:  Benjamin G Kremkow; Jong Youn Baik; Madolyn L MacDonald; Kelvin H Lee
Journal:  Biotechnol J       Date:  2015-04-28       Impact factor: 4.677

Review 6.  Analysis of omics data with genome-scale models of metabolism.

Authors:  Daniel R Hyduke; Nathan E Lewis; Bernhard Ø Palsson
Journal:  Mol Biosyst       Date:  2012-12-18

7.  Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models.

Authors:  Nathan E Lewis; Kim K Hixson; Tom M Conrad; Joshua A Lerman; Pep Charusanti; Ashoka D Polpitiya; Joshua N Adkins; Gunnar Schramm; Samuel O Purvine; Daniel Lopez-Ferrer; Karl K Weitz; Roland Eils; Rainer König; Richard D Smith; Bernhard Ø Palsson
Journal:  Mol Syst Biol       Date:  2010-07       Impact factor: 11.429

8.  Bcl-xL overexpression does not enhance specific erythropoietin productivity of recombinant CHO cells grown at 33 degrees C and 37 degrees C.

Authors:  Yeon-Gu Kim; Gyun Min Lee
Journal:  Biotechnol Prog       Date:  2009 Jan-Feb

9.  InParanoid 7: new algorithms and tools for eukaryotic orthology analysis.

Authors:  Gabriel Ostlund; Thomas Schmitt; Kristoffer Forslund; Tina Köstler; David N Messina; Sanjit Roopra; Oliver Frings; Erik L L Sonnhammer
Journal:  Nucleic Acids Res       Date:  2009-11-05       Impact factor: 16.971

10.  fastGapFill: efficient gap filling in metabolic networks.

Authors:  Ines Thiele; Nikos Vlassis; Ronan M T Fleming
Journal:  Bioinformatics       Date:  2014-05-07       Impact factor: 6.937

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  44 in total

1.  Systematic development of temperature shift strategies for Chinese hamster ovary cells based on short duration cultures and kinetic modeling.

Authors:  Jianlin Xu; Peifeng Tang; Andrew Yongky; Barry Drew; Michael C Borys; Shijie Liu; Zheng Jian Li
Journal:  MAbs       Date:  2018-10-02       Impact factor: 5.857

2.  Awakening dormant glycosyltransferases in CHO cells with CRISPRa.

Authors:  Karen Julie la Cour Karottki; Hooman Hefzi; Kai Xiong; Isaac Shamie; Anders Holmgaard Hansen; Songyuan Li; Lasse Ebdrup Pedersen; Shangzhong Li; Jae Seong Lee; Gyun Min Lee; Helene Faustrup Kildegaard; Nathan E Lewis
Journal:  Biotechnol Bioeng       Date:  2019-11-12       Impact factor: 4.530

3.  Predicting Metabolism from Gene Expression in an Improved Whole-Genome Metabolic Network Model of Danio rerio.

Authors:  Leonie van Steijn; Fons J Verbeek; Herman P Spaink; Roeland M H Merks
Journal:  Zebrafish       Date:  2019-06-19       Impact factor: 1.985

Review 4.  Recent developments in miRNA based recombinant protein expression in CHO.

Authors:  Masoume Bazaz; Ahmad Adeli; Mohammad Azizi; Masoud Soleimani; Fereidoun Mahboudi; Noushin Davoudi
Journal:  Biotechnol Lett       Date:  2022-05-04       Impact factor: 2.461

5.  Systems Biology on Acetogenic Bacteria for Utilizing C1 Feedstocks.

Authors:  Yoseb Song; Jiyun Bae; Jongoh Shin; Sangrak Jin; Seulgi Kang; Hyeonsik Lee; Suhyung Cho; Byung-Kwan Cho
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.635

6.  Systematically gap-filling the genome-scale metabolic model of CHO cells.

Authors:  Hamideh Fouladiha; Sayed-Amir Marashi; Shangzhong Li; Zerong Li; Helen O Masson; Behrouz Vaziri; Nathan E Lewis
Journal:  Biotechnol Lett       Date:  2020-10-10       Impact factor: 2.461

7.  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

8.  Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0.

Authors:  Laurent Heirendt; Sylvain Arreckx; Thomas Pfau; Sebastián N Mendoza; Anne Richelle; Almut Heinken; Hulda S Haraldsdóttir; Jacek Wachowiak; Sarah M Keating; Vanja Vlasov; Stefania Magnusdóttir; Chiam Yu Ng; German Preciat; Alise Žagare; Siu H J Chan; Maike K Aurich; Catherine M Clancy; Jennifer Modamio; John T Sauls; Alberto Noronha; Aarash Bordbar; Benjamin Cousins; Diana C El Assal; Luis V Valcarcel; Iñigo Apaolaza; Susan Ghaderi; Masoud Ahookhosh; Marouen Ben Guebila; Andrejs Kostromins; Nicolas Sompairac; Hoai M Le; Ding Ma; Yuekai Sun; Lin Wang; James T Yurkovich; Miguel A P Oliveira; Phan T Vuong; Lemmer P El Assal; Inna Kuperstein; Andrei Zinovyev; H Scott Hinton; William A Bryant; Francisco J Aragón Artacho; Francisco J Planes; Egils Stalidzans; Alejandro Maass; Santosh Vempala; Michael Hucka; Michael A Saunders; Costas D Maranas; Nathan E Lewis; Thomas Sauter; Bernhard Ø Palsson; Ines Thiele; Ronan M T Fleming
Journal:  Nat Protoc       Date:  2019-03       Impact factor: 13.491

9.  Reconstruction of Litopenaeus vannamei Genome-Scale Metabolic Network Model and Nutritional Requirements Analysis of Different Shrimp Commercial Varieties.

Authors:  Chenchen Gao; Jiarui Yang; Tong Hao; Jingjing Li; Jinsheng Sun
Journal:  Front Genet       Date:  2021-05-12       Impact factor: 4.599

10.  Valine feeding reduces ammonia production through rearrangement of metabolic fluxes in central carbon metabolism of CHO cells.

Authors:  Iman Shahidi Pour Savizi; Nader Maghsoudi; Ehsan Motamedian; Nathan E Lewis; Seyed Abbas Shojaosadati
Journal:  Appl Microbiol Biotechnol       Date:  2022-01-19       Impact factor: 4.813

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