Literature DB >> 28544881

Mammalian Systems Biotechnology Reveals Global Cellular Adaptations in a Recombinant CHO Cell Line.

Faraaz Noor Khan Yusufi1, Meiyappan Lakshmanan1, Ying Swan Ho1, Bernard Liat Wen Loo1, Pramila Ariyaratne2, Yuansheng Yang1, Say Kong Ng1, Tessa Rui Min Tan1, Hock Chuan Yeo3, Hsueh Lee Lim1, Sze Wai Ng1, Ai Ping Hiu1, Chung Ping Chow1, Corrine Wan1, Shuwen Chen1, Gavin Teo1, Gao Song2, Ju Xin Chin1, Xiaoan Ruan2, Ken Wing Kin Sung2, Wei-Shou Hu4, Miranda Gek Sim Yap3, Muriel Bardor5, Niranjan Nagarajan6, Dong-Yup Lee7.   

Abstract

Effective development of host cells for therapeutic protein production is hampered by the poor characterization of cellular transfection. Here, we employed a multi-omics-based systems biotechnology approach to elucidate the genotypic and phenotypic differences between a wild-type and recombinant antibody-producing Chinese hamster ovary (CHO) cell line. At the genomic level, we observed extensive rearrangements in specific targeted loci linked to transgene integration sites. Transcriptional re-wiring of DNA damage repair and cellular metabolism in the antibody producer, via changes in gene copy numbers, was also detected. Subsequent integration of transcriptomic data with a genome-scale metabolic model showed a substantial increase in energy metabolism in the antibody producer. Metabolomics, lipidomics, and glycomics analyses revealed an elevation in long-chain lipid species, potentially associated with protein transport and secretion requirements, and a surprising stability of N-glycosylation profiles between both cell lines. Overall, the proposed knowledge-based systems biotechnology framework can further accelerate mammalian cell-line engineering in a targeted manner.
Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chinese hamster ovary; genome-scale metabolic model; genomic rearrangements; glycosylation; lipid metabolism; monoclonal antibody-producing cell line; systems biotechnology; tricistronic vector

Mesh:

Substances:

Year:  2017        PMID: 28544881     DOI: 10.1016/j.cels.2017.04.009

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


  18 in total

1.  An LC-MS-based lipidomics pre-processing framework underpins rapid hypothesis generation towards CHO systems biotechnology.

Authors:  Hock Chuan Yeo; Shuwen Chen; Ying Swan Ho; Dong-Yup Lee
Journal:  Metabolomics       Date:  2018-07-09       Impact factor: 4.290

Review 2.  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

3.  An Integrative Glycomic Approach for Quantitative Meat Species Profiling.

Authors:  Sean Chia; Gavin Teo; Shi Jie Tay; Larry Sai Weng Loo; Corrine Wan; Lyn Chiin Sim; Hanry Yu; Ian Walsh; Kuin Tian Pang
Journal:  Foods       Date:  2022-06-30

4.  Recurring genomic structural variation leads to clonal instability and loss of productivity.

Authors:  Arpan A Bandyopadhyay; Sofie A O'Brien; Liang Zhao; Hsu-Yuan Fu; Nandita Vishwanathan; Wei-Shou Hu
Journal:  Biotechnol Bioeng       Date:  2018-10-27       Impact factor: 4.530

5.  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

6.  MMSET I acts as an oncoprotein and regulates GLO1 expression in t(4;14) multiple myeloma cells.

Authors:  Zhigang Xie; Jing Yuan Chooi; Sabrina Hui Min Toh; Dongxiao Yang; Nurhidayah Binte Basri; Ying Swan Ho; Wee Joo Chng
Journal:  Leukemia       Date:  2018-11-23       Impact factor: 11.528

7.  Restoration of DNA repair mitigates genome instability and increases productivity of Chinese hamster ovary cells.

Authors:  Philipp N Spahn; Xiaolin Zhang; Qing Hu; Huiming Lu; Nathaniel K Hamaker; Hooman Hefzi; Shangzhong Li; Chih-Chung Kuo; Yingxiang Huang; Jamie C Lee; Anthony J Davis; Peter Ly; Kelvin H Lee; Nathan E Lewis
Journal:  Biotechnol Bioeng       Date:  2022-01-05       Impact factor: 4.530

Review 8.  Cell Line Techniques and Gene Editing Tools for Antibody Production: A Review.

Authors:  Arun K Dangi; Rajeshwari Sinha; Shailja Dwivedi; Sanjeev K Gupta; Pratyoosh Shukla
Journal:  Front Pharmacol       Date:  2018-06-12       Impact factor: 5.810

9.  Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks.

Authors:  Kentaro Kawata; Atsushi Hatano; Katsuyuki Yugi; Hiroyuki Kubota; Takanori Sano; Masashi Fujii; Yoko Tomizawa; Toshiya Kokaji; Kaori Y Tanaka; Shinsuke Uda; Yutaka Suzuki; Masaki Matsumoto; Keiichi I Nakayama; Kaori Saitoh; Keiko Kato; Ayano Ueno; Maki Ohishi; Akiyoshi Hirayama; Tomoyoshi Soga; Shinya Kuroda
Journal:  iScience       Date:  2018-09-10

10.  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

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