1
|
Abstract
Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) continues to be one of the most versatile and widely used techniques to study the proteome of a biological system, particularly in the separation of intact proteins. A modified version of 2D-PAGE, two-dimensional difference gel electrophoresis (2D-DIGE), which uses differential labeling of protein samples with up to three fluorescent tags, offers greater sensitivity and reproducibility over conventional 2D-PAGE gels for differential quantitative analysis of protein expression between experimental groups. Both these methods have distinct advantages in the separation and identification of thousands of individual protein species including protein isoforms and post-translational modifications. This chapter discusses the principles of 2D-PAGE and 2D-DIGE including limitations to the methods. 2D-PAGE and 2D-DIGE continue to be popular methods in bioprocessing-related research, particularly on recombinant Chinese hamster ovary cells, which are also discussed in this chapter.
Collapse
Affiliation(s)
- Paula Meleady
- School of Biotechnology, National Institute for Cellular Biotechnology, Dublin City University, Glasnevin, Dublin, Ireland.
| |
Collapse
|
2
|
Marx N, Eisenhut P, Weinguny M, Klanert G, Borth N. How to train your cell - Towards controlling phenotypes by harnessing the epigenome of Chinese hamster ovary production cell lines. Biotechnol Adv 2022; 56:107924. [PMID: 35149147 DOI: 10.1016/j.biotechadv.2022.107924] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 02/03/2022] [Accepted: 02/04/2022] [Indexed: 11/24/2022]
Abstract
Recent advances in omics technologies and the broad availability of big datasets have revolutionized our understanding of Chinese hamster ovary cells in their role as the most prevalent host for production of complex biopharmaceuticals. In consequence, our perception of this "workhorse of the biopharmaceutical industry" has successively shifted from that of a nicely working, but unknown recombinant protein producing black box to a biological system governed by multiple complex regulatory layers that might possibly be harnessed and manipulated at will. Despite the tremendous progress that has been made to characterize CHO cells on various omics levels, our understanding is still far from complete. The well-known inherent genetic plasticity of any immortalized and rapidly dividing cell line also characterizes CHO cells and can lead to problematic instability of recombinant protein production. While the high mutational frequency has been a focus of CHO cell research for decades, the impact of epigenetics and its role in differential gene expression has only recently been addressed. In this review we provide an overview about the current understanding of epigenetic regulation in CHO cells and discuss its significance for shaping the cell's phenotype. We also look into current state-of-the-art technology that can be applied to harness and manipulate the epigenetic network so as to nudge CHO cells towards a specific phenotype. Here, we revise current strategies on site-directed integration and random as well as targeted epigenome modifications. Finally, we address open questions that need to be investigated to exploit the full repertoire of fine-tuned control of multiplexed gene expression using epigenetic and systems biology tools.
Collapse
Affiliation(s)
- Nicolas Marx
- University of Natural Resources and Life Sciences, Vienna, Austria
| | - Peter Eisenhut
- Austrian Centre for Industrial Biotechnology GmbH, Vienna, Austria
| | - Marcus Weinguny
- University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre for Industrial Biotechnology GmbH, Vienna, Austria
| | - Gerald Klanert
- Austrian Centre for Industrial Biotechnology GmbH, Vienna, Austria
| | - Nicole Borth
- University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre for Industrial Biotechnology GmbH, Vienna, Austria.
| |
Collapse
|
3
|
MacDonald MA, Nöbel M, Roche Recinos D, Martínez VS, Schulz BL, Howard CB, Baker K, Shave E, Lee YY, Marcellin E, Mahler S, Nielsen LK, Munro T. Perfusion culture of Chinese Hamster Ovary cells for bioprocessing applications. Crit Rev Biotechnol 2021; 42:1099-1115. [PMID: 34844499 DOI: 10.1080/07388551.2021.1998821] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Much of the biopharmaceutical industry's success over the past 30 years has relied on products derived from Chinese Hamster Ovary (CHO) cell lines. During this time, improvements in mammalian cell cultures have come from cell line development and process optimization suited for large-scale fed-batch processes. Originally developed for high cell densities and sensitive products, perfusion processes have a long history. Driven by high volumetric titers and a small footprint, perfusion-based bioprocess research has regained an interest from academia and industry. The recent pandemic has further highlighted the need for such intensified biomanufacturing options. In this review, we outline the technical history of research in this field as it applies to biologics production in CHO cells. We demonstrate a number of emerging trends in the literature and corroborate these with underlying drivers in the commercial space. From these trends, we speculate that the future of perfusion bioprocesses is bright and that the fields of media optimization, continuous processing, and cell line engineering hold the greatest potential. Aligning in its continuous setup with the demands for Industry 4.0, perfusion biomanufacturing is likely to be a hot topic in the years to come.
Collapse
Affiliation(s)
- Michael A MacDonald
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, Australia.,Thermo Fisher Scientific, Woolloongabba, Brisbane, Australia
| | - Matthias Nöbel
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, Australia.,Thermo Fisher Scientific, Woolloongabba, Brisbane, Australia
| | - Dinora Roche Recinos
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, Australia.,CSL Limited, Parkville, Melbourne, Australia
| | - Verónica S Martínez
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, Australia
| | - Benjamin L Schulz
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, Australia.,School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, Brisbane, Australia
| | - Christopher B Howard
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, Australia
| | - Kym Baker
- Thermo Fisher Scientific, Woolloongabba, Brisbane, Australia
| | - Evan Shave
- Thermo Fisher Scientific, Woolloongabba, Brisbane, Australia
| | | | - Esteban Marcellin
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, Australia.,Metabolomics Australia, The University of Queensland, St. Lucia, Brisbane, Australia
| | - Stephen Mahler
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, Australia
| | - Lars Keld Nielsen
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, Australia.,Metabolomics Australia, The University of Queensland, St. Lucia, Brisbane, Australia.,The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Trent Munro
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, Australia.,National Biologics Facility, The University of Queensland, St. Lucia, Brisbane, Australia
| |
Collapse
|
4
|
Schelletter L, Albaum S, Walter S, Noll T, Hoffrogge R. Clonal variations in CHO IGF signaling investigated by SILAC-based phosphoproteomics and LFQ-MS. Appl Microbiol Biotechnol 2019; 103:8127-8143. [DOI: 10.1007/s00253-019-10020-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/08/2019] [Accepted: 07/09/2019] [Indexed: 12/22/2022]
|
5
|
Abstract
Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) continues to be one of the most versatile and widely used techniques to study the proteome of a biological system. In particular, a modified version of 2D-PAGE, two-dimensional difference gel electrophoresis (2D-DIGE), which uses differential labeling of protein samples with up to three fluorescent tags, offers greater sensitivity and reproducibility over conventional 2D-PAGE gels for differential quantitative analysis of protein expression between experimental groups. Both these methods have distinct advantages in the separation and identification of thousands of individual proteins species including protein isoforms and post-translational modifications. This review will discuss the principles of 2D-PAGE and 2D-DIGE including limitations to the methods. 2D-PAGE and 2D-DIGE continue to be popular methods in bioprocessing-related research (particularly on recombinant Chinese hamster ovary cells), which will also be discussed in the review chapter.
Collapse
Affiliation(s)
- Paula Meleady
- National Institute for Cellular Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland.
| |
Collapse
|
6
|
Sou SN, Lee K, Nayyar K, Polizzi KM, Sellick C, Kontoravdi C. Exploring cellular behavior under transient gene expression and its impact on mAb productivity and Fc-glycosylation. Biotechnol Bioeng 2017; 115:512-518. [PMID: 28921534 PMCID: PMC5765507 DOI: 10.1002/bit.26456] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 09/04/2017] [Accepted: 09/14/2017] [Indexed: 12/30/2022]
Abstract
Transient gene expression (TGE) is a methodology employed in bioprocessing for the fast provision of recombinant protein material. Mild hypothermia is often introduced to overcome the low yield typically achieved with TGE and improve specific protein productivity. It is therefore of interest to examine the impact of mild hypothermic temperatures on both the yield and quality of transiently expressed proteins and the relationship to changes in cellular processes and metabolism. In this study, we focus on the ability of a Chinese hamster ovary cell line to galactosylate a recombinant monoclonal antibody (mAb) product. Through experimentation and flux balance analysis, our results show that TGE in mild hypothermic conditions led to a 76% increase in qP compared to TGE at 36.5°C in our system. This increase is accompanied by increased consumption of nutrients and amino acids, together with increased production of intracellular nucleotide sugar species, and higher rates of mAb galactosylation, despite a reduced rate of cell growth. The reduction in biomass accumulation allowed cells to redistribute their energy and resources toward mAb synthesis and Fc‐glycosylation. Interestingly, the higher capacity of cells to galactosylate the recombinant product in TGE at 32°C appears not to have been assisted by the upregulation of galactosyltransferases (GalTs), but by the increased expression of N‐acetylglucosaminyltransferase II (GnTII) in this cell line, which facilitated the production of bi‐antennary glycan structures for further processing.
Collapse
Affiliation(s)
- Si N Sou
- Department of Life Sciences, Imperial College London, London, UK.,Centre for Synthetic Biology and Innovation, Imperial College London, London, UK.,Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London, UK
| | - Ken Lee
- Cell Culture and Fermentation Sciences, MedImmune, Cambridge, UK
| | - Kalpana Nayyar
- Cell Culture and Fermentation Sciences, MedImmune, Cambridge, UK
| | - Karen M Polizzi
- Department of Life Sciences, Imperial College London, London, UK.,Centre for Synthetic Biology and Innovation, Imperial College London, London, UK
| | | | - Cleo Kontoravdi
- Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London, UK
| |
Collapse
|
7
|
Stolfa G, Smonskey MT, Boniface R, Hachmann AB, Gulde P, Joshi AD, Pierce AP, Jacobia SJ, Campbell A. CHO-Omics Review: The Impact of Current and Emerging Technologies on Chinese Hamster Ovary Based Bioproduction. Biotechnol J 2017; 13:e1700227. [PMID: 29072373 DOI: 10.1002/biot.201700227] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Revised: 10/12/2017] [Accepted: 10/16/2017] [Indexed: 01/07/2023]
Abstract
CHO cells are the most prevalent platform for modern bio-therapeutic production. Currently, there are several CHO cell lines used in bioproduction with distinct characteristics and unique genotypes and phenotypes. These differences limit advances in productivity and quality that can be achieved by the most common approaches to bioprocess optimization and cell line engineering. Incorporating omics-based approaches into current bioproduction processes will complement traditional methodologies to maximize gains from CHO engineering and bioprocess improvements. In order to highlight the utility of omics technologies in CHO bioproduction, the authors discuss current applications as well as limitations of genomics, transcriptomics, proteomics, metabolomics, lipidomics, fluxomics, glycomics, and multi-omics approaches and the potential they hold for the future of bioproduction. Multiple omics approaches are currently being used to improve CHO bioprocesses; however, the application of these technologies is still limited. As more CHO-omic datasets become available and integrated into systems models, the authors expect significant gains in product yield and quality. While individual omics technologies provide incremental improvements in bioproduction, the authors will likely see the most significant gains by applying multi-omics and systems biology approaches to individual CHO cell lines.
Collapse
Affiliation(s)
- Gino Stolfa
- Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA
| | | | - Ryan Boniface
- Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA
| | | | - Paul Gulde
- Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA
| | - Atul D Joshi
- Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA
| | - Anson P Pierce
- Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA
| | - Scott J Jacobia
- Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA
| | - Andrew Campbell
- Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA
| |
Collapse
|
8
|
Hausmann R, Chudobová I, Spiegel H, Schillberg S. Proteomic analysis of CHO cell lines producing high and low quantities of a recombinant antibody before and after selection with methotrexate. J Biotechnol 2017; 265:65-69. [PMID: 29137976 DOI: 10.1016/j.jbiotec.2017.11.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 10/26/2017] [Accepted: 11/10/2017] [Indexed: 11/25/2022]
Abstract
High levels of recombinant protein production in Chinese hamster ovary (CHO) cells can be achieved by amplification of transgenes using the dihydrofolate reductase/methotrexate (DHFR/MTX) system. With the aim to identify predictive markers enabling the preselection of suitable high producing clones we investigated the impact of MTX-based gene amplification on two CHO cells lines producing different levels of a human monoclonal antibody by carrying out a comparative proteome analysis. The difference in antibody yield between the high and low producer was 15-fold before and 245-fold after MTX selection. Difference in-gel electrophoresis of samples from before and after MTX selection revealed 17 unique proteins that were differentially expressed between the high and low productivity lines. Of these, five proteins were differently expressed before MTX selection, representing potential markers for productivity prior to selection and for engineering processes to generate novel CHO cell line with the desirable high productivity phenotype. Fifteen proteins were differently expressed between high and low producer after MTX selection. We further found that MTX selection induced more changes in the proteome of the low producer compared to the high producer.
Collapse
Affiliation(s)
- Ruth Hausmann
- Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany
| | - Ivana Chudobová
- Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany
| | - Holger Spiegel
- Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany
| | - Stefan Schillberg
- Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany.
| |
Collapse
|
9
|
Label-free protein quantification of sodium butyrate treated CHO cells by ESI-UHR-TOF-MS. J Biotechnol 2017; 257:87-98. [DOI: 10.1016/j.jbiotec.2017.03.032] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Revised: 03/27/2017] [Accepted: 03/27/2017] [Indexed: 11/18/2022]
|
10
|
Sommeregger W, Mayrhofer P, Steinfellner W, Reinhart D, Henry M, Clynes M, Meleady P, Kunert R. Proteomic differences in recombinant CHO cells producing two similar antibody fragments. Biotechnol Bioeng 2016; 113:1902-12. [PMID: 26913574 PMCID: PMC4985663 DOI: 10.1002/bit.25957] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2015] [Revised: 11/25/2015] [Accepted: 02/14/2016] [Indexed: 12/28/2022]
Abstract
Chinese hamster ovary (CHO) cells are the most commonly used mammalian hosts for the production of biopharmaceuticals. To overcome unfavorable features of CHO cells, a lot of effort is put into cell engineering to improve phenotype. “Omics” studies investigating elevated growth rate and specific productivities as well as extracellular stimulus have already revealed many interesting engineering targets. However, it remains largely unknown how physicochemical properties of the recombinant product itself influence the host cell. In this study, we used quantitative label‐free LC‐MS proteomic analyses to investigate product‐specific proteome differences in CHO cells producing two similar antibody fragments. We established recombinant CHO cells producing the two antibodies, 3D6 and 2F5, both as single‐chain Fv‐Fc homodimeric antibody fragments (scFv‐Fc). We applied three different vector strategies for transgene delivery (i.e., plasmid, bacterial artificial chromosome, recombinase‐mediated cassette exchange), selected two best performing clones from transgene variants and transgene delivery methods and investigated three consecutively passaged cell samples by label‐free proteomic analysis. LC‐MS‐MS profiles were compared in several sample combinations to gain insights into different aspects of proteomic changes caused by overexpression of two different heterologous proteins. This study suggests that not only the levels of specific product secretion but the product itself has a large impact on the proteome of the cell. Biotechnol. Bioeng. 2016;113: 1902–1912. © 2016 The Authors. Biotechnology and Bioengineering Published by Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Wolfgang Sommeregger
- Vienna Institute of BioTechnology (VIBT), University of Natural Resources and Life Sciences, Muthgasse 18, B, 5th Floor, 1190 Vienna, Austria.,Polymun Scientific GmbH, Klosterneuburg, Austria.,Bilfinger Industrietechnik Salzburg GmbH, Salzburg, Austria
| | - Patrick Mayrhofer
- Vienna Institute of BioTechnology (VIBT), University of Natural Resources and Life Sciences, Muthgasse 18, B, 5th Floor, 1190 Vienna, Austria
| | - Willibald Steinfellner
- Vienna Institute of BioTechnology (VIBT), University of Natural Resources and Life Sciences, Muthgasse 18, B, 5th Floor, 1190 Vienna, Austria
| | - David Reinhart
- Vienna Institute of BioTechnology (VIBT), University of Natural Resources and Life Sciences, Muthgasse 18, B, 5th Floor, 1190 Vienna, Austria
| | - Michael Henry
- National Institute for Cellular Biotechnology (NICB), Dublin City University, Dublin 9, Ireland
| | - Martin Clynes
- National Institute for Cellular Biotechnology (NICB), Dublin City University, Dublin 9, Ireland
| | - Paula Meleady
- National Institute for Cellular Biotechnology (NICB), Dublin City University, Dublin 9, Ireland.
| | - Renate Kunert
- Vienna Institute of BioTechnology (VIBT), University of Natural Resources and Life Sciences, Muthgasse 18, B, 5th Floor, 1190 Vienna, Austria.
| |
Collapse
|