1
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Sørensen CV, Fernández J, Adams AC, Wildenauer HHK, Schoffelen S, Ledsgaard L, Pucca MB, Fiebig M, Cerni FA, Tulika T, Voldborg BG, Karatt-Vellatt A, Morth JP, Ljungars A, Grav LM, Lomonte B, Laustsen AH. Antibody-dependent enhancement of toxicity of myotoxin II from Bothrops asper. Nat Commun 2024; 15:173. [PMID: 38228619 PMCID: PMC10791742 DOI: 10.1038/s41467-023-42624-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/17/2023] [Indexed: 01/18/2024] Open
Abstract
Improved therapies are needed against snakebite envenoming, which kills and permanently disables thousands of people each year. Recently developed neutralizing monoclonal antibodies against several snake toxins have shown promise in preclinical rodent models. Here, we use phage display technology to discover a human monoclonal antibody and show that this antibody causes antibody-dependent enhancement of toxicity (ADET) of myotoxin II from the venomous pit viper, Bothrops asper, in a mouse model of envenoming that mimics a snakebite. While clinical ADET related to snake venom has not yet been reported in humans, this report of ADET of a toxin from the animal kingdom highlights the necessity of assessing even well-known antibody formats in representative preclinical models to evaluate their therapeutic utility against toxins or venoms. This is essential to avoid potential deleterious effects as exemplified in the present study.
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Affiliation(s)
- Christoffer V Sørensen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Julián Fernández
- Instituto Clodomiro Picado, Facultad de Microbiologia, Universidad de Costa Rica, San Jose, Costa Rica
| | - Anna Christina Adams
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Helen H K Wildenauer
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Sanne Schoffelen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Line Ledsgaard
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Manuela B Pucca
- Medical School, Federal University of Roraima, Boa Vista, BR-69310-000, Brazil
| | - Michael Fiebig
- Absolute Antibody Ltd, Wilton Centre, Redcar, Cleveland, TS10 4RF, UK
| | - Felipe A Cerni
- Postgraduate Program in Tropical Medicine, University of the State of Amazonas, Manaus, BR-69040-000, Brazil
| | - Tulika Tulika
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Bjørn G Voldborg
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | | | - J Preben Morth
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Anne Ljungars
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Lise M Grav
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Bruno Lomonte
- Instituto Clodomiro Picado, Facultad de Microbiologia, Universidad de Costa Rica, San Jose, Costa Rica.
| | - Andreas H Laustsen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
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2
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Tulika T, Pedersen RW, Rimbault C, Ahmadi S, Rivera‐de‐Torre E, Fernández‐Quintero ML, Loeffler JR, Bohn M, Ljungars A, Ledsgaard L, Voldborg BG, Ruso‐Julve F, Andersen JT, Laustsen AH. Phage display assisted discovery of a pH-dependent anti-α-cobratoxin antibody from a natural variable domain library. Protein Sci 2023; 32:e4821. [PMID: 37897425 PMCID: PMC10659949 DOI: 10.1002/pro.4821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/28/2023] [Accepted: 10/24/2023] [Indexed: 10/30/2023]
Abstract
Recycling IgG antibodies bind to their target antigen at physiological pH in the blood stream and release them upon endocytosis when pH levels drop, allowing the IgG antibodies to be recycled into circulation via FcRn-mediated cellular pathways, while the antigens undergo lysosomal degradation. This enables recycling antibodies to achieve comparable therapeutic effect at lower doses than their non-recycling counterparts. The development of such antibodies is typically achieved by histidine doping of their variable regions or by performing in vitro antibody selection campaigns utilizing histidine doped libraries. Both are strategies that may introduce sequence liabilities. Here, we present a methodology that employs a naïve antibody phage display library, consisting of natural variable domains, to discover antibodies that bind α-cobratoxin from the venom of Naja kaouthia in a pH-dependent manner. As a result, an antibody was discovered that exhibits a 7-fold higher off-rate at pH 5.5 than pH 7.4 in bio-layer interferometry experiments. Interestingly, no histidine residues were found in its variable domains, and in addition, the antibody showed pH-dependent binding to a histidine-devoid antigen mutant. As such, the results demonstrate that pH-dependent antigen-antibody binding may not always be driven by histidine residues. By employing molecular dynamics simulations, different protonation states of titratable residues were found, which potentially could be responsible for the observed pH-dependent antigen binding properties of the antibody. Finally, given the typically high diversity of naïve antibody libraries, the methodology presented here can likely be applied to discover recycling antibodies against different targets ab initio without the need for histidine doping.
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Affiliation(s)
- Tulika Tulika
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Rasmus W. Pedersen
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Charlotte Rimbault
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Shirin Ahmadi
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | | | - Monica L. Fernández‐Quintero
- Center for Molecular Biosciences Innsbruck, Department of GeneralInorganic and Theoretical Chemistry, University of InnsbruckInnsbruckAustria
| | - Johannes R. Loeffler
- Center for Molecular Biosciences Innsbruck, Department of GeneralInorganic and Theoretical Chemistry, University of InnsbruckInnsbruckAustria
| | - Markus‐Frederik Bohn
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Anne Ljungars
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Line Ledsgaard
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Bjørn G. Voldborg
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Fulgencio Ruso‐Julve
- Department of PharmacologyUniversity of OsloOsloNorway
- Department of ImmunologyOslo University Hospital RikshospitaletOsloNorway
- Precision Immunotherapy AllianceUniversity of OsloOsloNorway
| | - Jan Terje Andersen
- Department of PharmacologyUniversity of OsloOsloNorway
- Department of ImmunologyOslo University Hospital RikshospitaletOsloNorway
- Precision Immunotherapy AllianceUniversity of OsloOsloNorway
| | - Andreas H. Laustsen
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
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3
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Sørensen CV, Almeida JR, Bohn MF, Rivera-de-Torre E, Schoffelen S, Voldborg BG, Ljungars A, Vaiyapuri S, Laustsen AH. Discovery of a human monoclonal antibody that cross-neutralizes venom phospholipase A 2s from three different snake genera. Toxicon 2023; 234:107307. [PMID: 37783315 DOI: 10.1016/j.toxicon.2023.107307] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/29/2023] [Accepted: 09/29/2023] [Indexed: 10/04/2023]
Abstract
Despite the considerable global impact of snakebite envenoming, available treatments remain suboptimal. Here, we report the discovery of a broadly-neutralizing human monoclonal antibody, using a phage display-based cross-panning strategy, capable of reducing the cytotoxic effects of venom phospholipase A2s from three different snake genera from different continents. This highlights the potential of utilizing monoclonal antibodies to develop more effective, safer, and globally accessible polyvalent antivenoms that can be widely used to treat snakebite envenoming.
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Affiliation(s)
- Christoffer V Sørensen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
| | - José R Almeida
- School of Pharmacy, University of Reading, Reading, RG6 6UB, United Kingdom
| | - Markus-Frederik Bohn
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Esperanza Rivera-de-Torre
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Sanne Schoffelen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Bjørn G Voldborg
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Anne Ljungars
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark
| | - Sakthivel Vaiyapuri
- School of Pharmacy, University of Reading, Reading, RG6 6UB, United Kingdom.
| | - Andreas H Laustsen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
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4
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Kofoed C, Wu S, Sørensen KK, Treiberg T, Arnsdorf J, Bjørn SP, Jensen TL, Voldborg BG, Thygesen MB, Jensen KJ, Schoffelen S. Highly Selective Lysine Acylation in Proteins Using a Lys-His Tag Sequence. Chemistry 2022; 28:e202200147. [PMID: 35099088 DOI: 10.1002/chem.202200147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Indexed: 11/07/2022]
Abstract
Chemical modification of proteins has numerous applications, but it has been challenging to achieve the required high degree of selectivity on lysine amino groups. Recently, we described the highly selective acylation of proteins with an N-terminal Gly-His6 segment. This tag promoted acylation of the N-terminal Nα -amine resulting in stable conjugates. Herein, we report the peptide sequences Hisn -Lys-Hism , which we term Lys-His tags. In combination with simple acylating agents, they facilitate the acylation of the designated Lys Nϵ -amine under mild conditions and with high selectivity over native Lys residues. We show that the Lys-His tags, which are 7 to 10 amino acids in length and still act as conventional His tags, can be inserted in proteins at the C-terminus or in loops, thus providing high flexibility regarding the site of modification. Finally, the selective and efficient acylation of the therapeutic antibody Rituximab, pure or mixed with other proteins, demonstrates the scope of the Lys-His tag acylation method.
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Affiliation(s)
- Christian Kofoed
- Department of Chemistry, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg, Denmark
- Present address: Frick Chemistry Laboratories, Princeton University, 08544, New Jersey, USA
| | - Shunliang Wu
- Department of Chemistry, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg, Denmark
| | - Kasper K Sørensen
- Department of Chemistry, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg, Denmark
| | - Tuule Treiberg
- Department of Chemistry, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg, Denmark
| | - Johnny Arnsdorf
- National Biologics Facility, Department of Biotechnology and Biomedicine, Technical University of Denmark, Building 220, Kemitorvet, 2800, Kgs. Lyngby, Denmark
| | - Sara P Bjørn
- National Biologics Facility, Department of Biotechnology and Biomedicine, Technical University of Denmark, Building 220, Kemitorvet, 2800, Kgs. Lyngby, Denmark
| | - Tanja L Jensen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800, Kgs. Lyngby, Denmark
| | - Bjørn G Voldborg
- National Biologics Facility, Department of Biotechnology and Biomedicine, Technical University of Denmark, Building 220, Kemitorvet, 2800, Kgs. Lyngby, Denmark
| | - Mikkel B Thygesen
- Department of Chemistry, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg, Denmark
| | - Knud J Jensen
- Department of Chemistry, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg, Denmark
| | - Sanne Schoffelen
- National Biologics Facility, Department of Biotechnology and Biomedicine, Technical University of Denmark, Building 220, Kemitorvet, 2800, Kgs. Lyngby, Denmark
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5
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Pérez-Rodriguez S, Wulff T, Voldborg BG, Altamirano C, Trujillo-Roldán MA, Valdez-Cruz NA. Compartmentalized Proteomic Profiling Outlines the Crucial Role of the Classical Secretory Pathway during Recombinant Protein Production in Chinese Hamster Ovary Cells. ACS Omega 2021; 6:12439-12458. [PMID: 34056395 PMCID: PMC8154153 DOI: 10.1021/acsomega.0c06030] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 02/24/2021] [Indexed: 05/11/2023]
Abstract
Different cellular processes that contribute to protein production in Chinese hamster ovary (CHO) cells have been previously investigated by proteomics. However, although the classical secretory pathway (CSP) has been well documented as a bottleneck during recombinant protein (RP) production, it has not been well represented in previous proteomic studies. Hence, the significance of this pathway for production of RP was assessed by identifying its own proteins that were associated to changes in RP production, through subcellular fractionation coupled to shot-gun proteomics. Two CHO cell lines producing a monoclonal antibody with different specific productivities were used as cellular models, from which 4952 protein groups were identified, which represent a coverage of 59% of the Chinese hamster proteome. Data are available via ProteomeXchange with identifier PXD021014. By using SAM and ROTS algorithms, 493 proteins were classified as differentially expressed, of which about 80% was proposed as novel targets and one-third were assigned to the CSP. Endoplasmic reticulum (ER) stress, unfolded protein response, calcium homeostasis, vesicle traffic, glycosylation, autophagy, proteasomal activity, protein synthesis and translocation into ER lumen, and secretion of extracellular matrix components were some of the affected processes that occurred in the secretory pathway. Processes from other cellular compartments, such as DNA replication, transcription, cytoskeleton organization, signaling, and metabolism, were also modified. This study gives new insights into the molecular traits of higher producer cells and provides novel targets for development of new sub-lines with improved phenotypes for RP production.
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Affiliation(s)
- Saumel Pérez-Rodriguez
- Programa
de Investigación de Producción de Biomoléculas,
Departamento de Biología Molecular y Biotecnología,
Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán 04510 Ciudad de
México, México
| | - Tune Wulff
- The
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby 2800, Denmark
| | - Bjørn G. Voldborg
- The
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby 2800, Denmark
| | - Claudia Altamirano
- Laboratorio
de Cultivos Celulares, Escuela de Ingeniería Bioquímica, Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2085 Valparaíso, Chile
| | - Mauricio A. Trujillo-Roldán
- Programa
de Investigación de Producción de Biomoléculas,
Departamento de Biología Molecular y Biotecnología,
Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán 04510 Ciudad de
México, México
| | - Norma A. Valdez-Cruz
- Programa
de Investigación de Producción de Biomoléculas,
Departamento de Biología Molecular y Biotecnología,
Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán 04510 Ciudad de
México, México
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6
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Lin D, Yalamanchili HB, Zhang X, Lewis NE, Alves CS, Groot J, Arnsdorf J, Bjørn SP, Wulff T, Voldborg BG, Zhou Y, Zhang B. CHOmics: A web-based tool for multi-omics data analysis and interactive visualization in CHO cell lines. PLoS Comput Biol 2020; 16:e1008498. [PMID: 33351794 PMCID: PMC7790544 DOI: 10.1371/journal.pcbi.1008498] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 01/07/2021] [Accepted: 11/06/2020] [Indexed: 11/18/2022] Open
Abstract
Chinese hamster ovary (CHO) cell lines are widely used in industry for biological drug production. During cell culture development, considerable effort is invested to understand the factors that greatly impact cell growth, specific productivity and product qualities of the biotherapeutics. While high-throughput omics approaches have been increasingly utilized to reveal cellular mechanisms associated with cell line phenotypes and guide process optimization, comprehensive omics data analysis and management have been a challenge. Here we developed CHOmics, a web-based tool for integrative analysis of CHO cell line omics data that provides an interactive visualization of omics analysis outputs and efficient data management. CHOmics has a built-in comprehensive pipeline for RNA sequencing data processing and multi-layer statistical modules to explore relevant genes or pathways. Moreover, advanced functionalities were provided to enable users to customize their analysis and visualize the output systematically and interactively. The tool was also designed with the flexibility to accommodate other types of omics data and thereby enabling multi-omics comparison and visualization at both gene and pathway levels. Collectively, CHOmics is an integrative platform for data analysis, visualization and management with expectations to promote the broader use of omics in CHO cell research.
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Affiliation(s)
- Dongdong Lin
- Biogen Inc., Cambridge, Massachusetts, United States of America
| | | | - Xinmin Zhang
- Bioinforx Inc., Madison, Wisconsin, United States of America
| | - Nathan E. Lewis
- Departments of Pediatrics and Bioengineering, University of California, San Diego, United States of America
- Novo Nordisk Foundation Center for Bio sustainability, Technical University of Denmark, Kgs. Lyngby, Denmark
| | | | - Joost Groot
- Biogen Inc., Cambridge, Massachusetts, United States of America
| | - Johnny Arnsdorf
- Novo Nordisk Foundation Center for Bio sustainability, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Sara P. Bjørn
- Novo Nordisk Foundation Center for Bio sustainability, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Tune Wulff
- Novo Nordisk Foundation Center for Bio sustainability, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Bjørn G. Voldborg
- Novo Nordisk Foundation Center for Bio sustainability, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Yizhou Zhou
- Biogen Inc., Cambridge, Massachusetts, United States of America
- * E-mail: (YZ); (BZ)
| | - Baohong Zhang
- Biogen Inc., Cambridge, Massachusetts, United States of America
- * E-mail: (YZ); (BZ)
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7
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Tan J, Sastry AV, Fremming KS, Bjørn SP, Hoffmeyer A, Seo S, Voldborg BG, Palsson BO. Independent component analysis of E. coli's transcriptome reveals the cellular processes that respond to heterologous gene expression. Metab Eng 2020; 61:360-368. [PMID: 32710928 DOI: 10.1016/j.ymben.2020.07.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 07/04/2020] [Accepted: 07/07/2020] [Indexed: 10/23/2022]
Abstract
Achieving the predictable expression of heterologous genes in a production host has proven difficult. Each heterologous gene expressed in the same host seems to elicit a different host response governed by unknown mechanisms. Historically, most studies have approached this challenge by manipulating the properties of the heterologous gene through methods like codon optimization. Here we approach this challenge from the host side. We express a set of 45 heterologous genes in the same Escherichia coli strain, using the same expression system and culture conditions. We collect a comprehensive RNAseq set to characterize the host's transcriptional response. Independent Component Analysis of the RNAseq data set reveals independently modulated gene sets (iModulons) that characterize the host response to heterologous gene expression. We relate 55% of variation of the host response to: Fear vs Greed (16.5%), Metal Homeostasis (19.0%), Respiration (6.0%), Protein folding (4.5%), and Amino acid and nucleotide biosynthesis (9.0%). If these responses can be controlled, then the success rate with predicting heterologous gene expression should increase.
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Affiliation(s)
- Justin Tan
- Department of Bioengineering, University of California, San Diego, La Jolla, USA
| | - Anand V Sastry
- Department of Bioengineering, University of California, San Diego, La Jolla, USA
| | - Karoline S Fremming
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800, Kgs. Lyngby, Denmark
| | - Sara P Bjørn
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800, Kgs. Lyngby, Denmark
| | - Alexandra Hoffmeyer
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800, Kgs. Lyngby, Denmark
| | - Sangwoo Seo
- Department of Bioengineering, University of California, San Diego, La Jolla, USA; School of Chemical and Biological Engineering, Institute of Chemical Process, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Bjørn G Voldborg
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800, Kgs. Lyngby, Denmark
| | - Bernhard O Palsson
- Department of Bioengineering, University of California, San Diego, La Jolla, USA; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800, Kgs. Lyngby, Denmark.
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8
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Chiang WT, Gazestani VH, Bao B, Liang C, Sorrention JT, Kellman BP, Ménard P, Arnsdorf J, Sukhova Z, Bjørn SP, Brøndum KK, Hansen AH, Yang Z, Joshi H, Clausen H, Voldborg BG, Lewis NE. Systems Glycoengineering: Integrated Analyses of Glycomics, Transcriptomics and Phenotypic Data Reveal Complex Cellular Response to Glycoengineering in CHO Cells. FASEB J 2020. [DOI: 10.1096/fasebj.2020.34.s1.07419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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9
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Liang C, Chiang AW, Hansen AH, Arnsdorf J, Schoffelen S, Sorrentino JT, Kellman BP, Bao B, Voldborg BG, Lewis NE. Elucidate Glycosyltransferase Specificities And Interactions for Rational Glycoengineering. FASEB J 2020. [DOI: 10.1096/fasebj.2020.34.s1.06683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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10
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Uhlén M, Karlsson MJ, Hober A, Svensson AS, Scheffel J, Kotol D, Zhong W, Tebani A, Strandberg L, Edfors F, Sjöstedt E, Mulder J, Mardinoglu A, Berling A, Ekblad S, Dannemeyer M, Kanje S, Rockberg J, Lundqvist M, Malm M, Volk AL, Nilsson P, Månberg A, Dodig-Crnkovic T, Pin E, Zwahlen M, Oksvold P, von Feilitzen K, Häussler RS, Hong MG, Lindskog C, Ponten F, Katona B, Vuu J, Lindström E, Nielsen J, Robinson J, Ayoglu B, Mahdessian D, Sullivan D, Thul P, Danielsson F, Stadler C, Lundberg E, Bergström G, Gummesson A, Voldborg BG, Tegel H, Hober S, Forsström B, Schwenk JM, Fagerberg L, Sivertsson Å. The human secretome. Sci Signal 2019; 12:12/609/eaaz0274. [PMID: 31772123 DOI: 10.1126/scisignal.aaz0274] [Citation(s) in RCA: 204] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The proteins secreted by human cells (collectively referred to as the secretome) are important not only for the basic understanding of human biology but also for the identification of potential targets for future diagnostics and therapies. Here, we present a comprehensive analysis of proteins predicted to be secreted in human cells, which provides information about their final localization in the human body, including the proteins actively secreted to peripheral blood. The analysis suggests that a large number of the proteins of the secretome are not secreted out of the cell, but instead are retained intracellularly, whereas another large group of proteins were identified that are predicted to be retained locally at the tissue of expression and not secreted into the blood. Proteins detected in the human blood by mass spectrometry-based proteomics and antibody-based immunoassays are also presented with estimates of their concentrations in the blood. The results are presented in an updated version 19 of the Human Protein Atlas in which each gene encoding a secretome protein is annotated to provide an open-access knowledge resource of the human secretome, including body-wide expression data, spatial localization data down to the single-cell and subcellular levels, and data about the presence of proteins that are detectable in the blood.
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Affiliation(s)
- Mathias Uhlén
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden. .,Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark.,Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Max J Karlsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Andreas Hober
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anne-Sophie Svensson
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Julia Scheffel
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - David Kotol
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Wen Zhong
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Abdellah Tebani
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Linnéa Strandberg
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Fredrik Edfors
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.,Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Evelina Sjöstedt
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Jan Mulder
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Adil Mardinoglu
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anna Berling
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Siri Ekblad
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Melanie Dannemeyer
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Sara Kanje
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Johan Rockberg
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Magnus Lundqvist
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Magdalena Malm
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anna-Luisa Volk
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Peter Nilsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anna Månberg
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Tea Dodig-Crnkovic
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Elisa Pin
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Martin Zwahlen
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Per Oksvold
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Kalle von Feilitzen
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Ragna S Häussler
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Mun-Gwan Hong
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | | | - Fredrik Ponten
- Department of Pathology, Uppsala University, Uppsala, Sweden
| | - Borbala Katona
- Department of Pathology, Uppsala University, Uppsala, Sweden
| | - Jimmy Vuu
- Department of Pathology, Uppsala University, Uppsala, Sweden
| | - Emil Lindström
- Department of Pathology, Uppsala University, Uppsala, Sweden
| | - Jens Nielsen
- Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Jonathan Robinson
- Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Burcu Ayoglu
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Diana Mahdessian
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Devin Sullivan
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Peter Thul
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Frida Danielsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Charlotte Stadler
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Emma Lundberg
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Physiology, Gothenburg, Sweden
| | - Anders Gummesson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Bjørn G Voldborg
- Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Hanna Tegel
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Sophia Hober
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Björn Forsström
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Jochen M Schwenk
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Linn Fagerberg
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Åsa Sivertsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
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11
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van Wijk XM, Döhrmann S, Hallström BM, Li S, Voldborg BG, Meng BX, McKee KK, van Kuppevelt TH, Yurchenco PD, Palsson BO, Lewis NE, Nizet V, Esko JD. Whole-Genome Sequencing of Invasion-Resistant Cells Identifies Laminin α2 as a Host Factor for Bacterial Invasion. mBio 2017; 8:e02128-16. [PMID: 28074024 PMCID: PMC5225314 DOI: 10.1128/mbio.02128-16] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 12/01/2016] [Indexed: 11/20/2022] Open
Abstract
To understand the role of glycosaminoglycans in bacterial cellular invasion, xylosyltransferase-deficient mutants of Chinese hamster ovary (CHO) cells were created using clustered regularly interspaced short palindromic repeat (CRISPR) and CRISPR-associated gene 9 (CRISPR-cas9) gene targeting. When these mutants were compared to the pgsA745 cell line, a CHO xylosyltransferase mutant generated previously using chemical mutagenesis, an unexpected result was obtained. Bacterial invasion of pgsA745 cells by group B Streptococcus (GBS), group A Streptococcus, and Staphylococcus aureus was markedly reduced compared to the invasion of wild-type cells, but newly generated CRISPR-cas9 mutants were only resistant to GBS. Invasion of pgsA745 cells was not restored by transfection with xylosyltransferase, suggesting that an additional mutation conferring panresistance to multiple bacteria was present in pgsA745 cells. Whole-genome sequencing and transcriptome sequencing (RNA-Seq) uncovered a deletion in the gene encoding the laminin subunit α2 (Lama2) that eliminated much of domain L4a. Silencing of the long Lama2 isoform in wild-type cells strongly reduced bacterial invasion, whereas transfection with human LAMA2 cDNA significantly enhanced invasion in pgsA745 cells. The addition of exogenous laminin-α2β1γ1/laminin-α2β2γ1 strongly increased bacterial invasion in CHO cells, as well as in human alveolar basal epithelial and human brain microvascular endothelial cells. Thus, the L4a domain in laminin α2 is important for cellular invasion by a number of bacterial pathogens. IMPORTANCE Pathogenic bacteria penetrate host cellular barriers by attachment to extracellular matrix molecules, such as proteoglycans, laminins, and collagens, leading to invasion of epithelial and endothelial cells. Here, we show that cellular invasion by the human pathogens group B Streptococcus, group A Streptococcus, and Staphylococcus aureus depends on a specific domain of the laminin α2 subunit. This finding may provide new leads for the molecular pathogenesis of these bacteria and the development of novel antimicrobial drugs.
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Affiliation(s)
- Xander M van Wijk
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California, USA
| | - Simon Döhrmann
- Department of Pediatrics, University of California, San Diego, La Jolla, California, USA
| | - Björn M Hallström
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark
- Royal Institute of Technology, Stockholm, Sweden
| | - Shangzhong Li
- Department of Pediatrics, University of California, San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, California, USA
- Novo Nordisk Foundation Center for Biosustainability, University of California, San Diego, La Jolla, California, USA
| | - Bjørn G Voldborg
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark
| | - Brandon X Meng
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California, USA
| | - Karen K McKee
- Department of Pathology and Laboratory Medicine, Robert Wood Johnson Medical School, Piscataway, New Jersey, USA
| | - Toin H van Kuppevelt
- Department of Biochemistry, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Peter D Yurchenco
- Department of Pathology and Laboratory Medicine, Robert Wood Johnson Medical School, Piscataway, New Jersey, USA
| | - Bernhard O Palsson
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark
- Department of Bioengineering, University of California, San Diego, La Jolla, California, USA
- Novo Nordisk Foundation Center for Biosustainability, University of California, San Diego, La Jolla, California, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California, San Diego, La Jolla, California, USA
- Novo Nordisk Foundation Center for Biosustainability, University of California, San Diego, La Jolla, California, USA
| | - Victor Nizet
- Department of Pediatrics, University of California, San Diego, La Jolla, California, USA
| | - Jeffrey D Esko
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California, USA
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12
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Spahn PN, Hansen AH, Kol S, Voldborg BG, Lewis NE. Predictive glycoengineering of biosimilars using a Markov chain glycosylation model. Biotechnol J 2016; 12. [PMID: 27860290 DOI: 10.1002/biot.201600489] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Revised: 10/27/2016] [Accepted: 11/15/2016] [Indexed: 12/17/2022]
Abstract
Biosimilar drugs must closely resemble the pharmacological attributes of innovator products to ensure safety and efficacy to obtain regulatory approval. Glycosylation is one critical quality attribute that must be matched, but it is inherently difficult to control due to the complexity of its biogenesis. This usually implies that costly and time-consuming experimentation is required for clone identification and optimization of biosimilar glycosylation. Here, a computational method that utilizes a Markov model of glycosylation to predict optimal glycoengineering strategies to obtain a specific glycosylation profile with desired properties is described. The approach uses a genetic algorithm to find the required quantities to perturb glycosylation reaction rates that lead to the best possible match with a given glycosylation profile. Furthermore, the approach can be used to identify cell lines and clones that will require minimal intervention while achieving a glycoprofile that is most similar to the desired profile. Thus, this approach can facilitate biosimilar design by providing computational glycoengineering guidelines that can be generated with a minimal time and cost.
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Affiliation(s)
- Philipp N Spahn
- Department of Pediatrics, University of California San Diego, School of Medicine, La Jolla, CA, USA.,The Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, La Jolla, CA, USA
| | - Anders H Hansen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Stefan Kol
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Bjørn G Voldborg
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Nathan E Lewis
- Department of Pediatrics, University of California San Diego, School of Medicine, La Jolla, CA, USA.,The Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, La Jolla, CA, USA
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13
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Hefzi H, Ang KS, Hanscho M, Bordbar A, Ruckerbauer D, Lakshmanan M, Orellana CA, Baycin-Hizal D, Huang Y, Ley D, Martinez VS, Kyriakopoulos S, Jiménez NE, Zielinski DC, Quek LE, Wulff T, Arnsdorf J, Li S, Lee JS, Paglia G, Loira N, Spahn PN, Pedersen LE, Gutierrez JM, King ZA, Lund AM, Nagarajan H, Thomas A, Abdel-Haleem AM, Zanghellini J, Kildegaard HF, Voldborg BG, Gerdtzen ZP, Betenbaugh MJ, Palsson BO, Andersen MR, Nielsen LK, Borth N, Lee DY, Lewis NE. A Consensus Genome-scale Reconstruction of Chinese Hamster Ovary Cell Metabolism. Cell Syst 2016; 3:434-443.e8. [PMID: 27883890 PMCID: PMC5132346 DOI: 10.1016/j.cels.2016.10.020] [Citation(s) in RCA: 138] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Revised: 06/16/2016] [Accepted: 10/21/2016] [Indexed: 12/22/2022]
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.
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Affiliation(s)
- Hooman Hefzi
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Novo Nordisk Foundation Center for Biosustainability at the School of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Kok Siong Ang
- Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117585, Singapore; Bioprocessing Technology Institute, Agency for Science, Technology and Research (A(∗)STAR), 20 Biopolis Way, 06-01, Centros, Singapore 138668, Singapore
| | - Michael Hanscho
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, 1190 Vienna, Austria; Austrian Centre of Industrial Biotechnology, 1190 Vienna, Austria
| | - Aarash Bordbar
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - David Ruckerbauer
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, 1190 Vienna, Austria; Austrian Centre of Industrial Biotechnology, 1190 Vienna, Austria
| | - Meiyappan Lakshmanan
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A(∗)STAR), 20 Biopolis Way, 06-01, Centros, Singapore 138668, Singapore
| | - Camila A Orellana
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Corner College and Cooper Roads (Building 75), Brisbane, QLD 4072, Australia
| | - Deniz Baycin-Hizal
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Yingxiang Huang
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla 92093, CA, USA
| | - Daniel Ley
- Department of Systems Biology, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Veronica S Martinez
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Corner College and Cooper Roads (Building 75), Brisbane, QLD 4072, Australia
| | - Sarantos Kyriakopoulos
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A(∗)STAR), 20 Biopolis Way, 06-01, Centros, Singapore 138668, Singapore
| | - Natalia E Jiménez
- Centre for Biotechnology and Bioengineering, Department of Chemical Engineering and Biotechnology, University of Chile, Santiago 8370456, Chile; MATHomics, Center for Mathematical Modeling; Center for Genome Regulation (Fondap 15090007), University of Chile, Santiago 8370456, Chile
| | - Daniel C Zielinski
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Lake-Ee Quek
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Corner College and Cooper Roads (Building 75), Brisbane, QLD 4072, Australia
| | - Tune Wulff
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Johnny Arnsdorf
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Shangzhong Li
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Novo Nordisk Foundation Center for Biosustainability at the School of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jae Seong Lee
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Giuseppe Paglia
- Center for Systems Biology, University of Iceland, 101 Reykjavik, Iceland
| | - Nicolas Loira
- Centre for Biotechnology and Bioengineering, Department of Chemical Engineering and Biotechnology, University of Chile, Santiago 8370456, Chile; MATHomics, Center for Mathematical Modeling; Center for Genome Regulation (Fondap 15090007), University of Chile, Santiago 8370456, Chile
| | - Philipp N Spahn
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Novo Nordisk Foundation Center for Biosustainability at the School of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Lasse E Pedersen
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Jahir M Gutierrez
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Novo Nordisk Foundation Center for Biosustainability at the School of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Zachary A King
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Anne Mathilde Lund
- Department of Systems Biology, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Harish Nagarajan
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla 92093, CA, USA
| | - Alex Thomas
- Novo Nordisk Foundation Center for Biosustainability at the School of Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla 92093, CA, USA
| | - Alyaa M Abdel-Haleem
- Novo Nordisk Foundation Center for Biosustainability at the School of Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Computational Bioscience Research Centre, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
| | - Juergen Zanghellini
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, 1190 Vienna, Austria; Austrian Centre of Industrial Biotechnology, 1190 Vienna, Austria
| | - Helene F Kildegaard
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Bjørn G Voldborg
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Ziomara P Gerdtzen
- Centre for Biotechnology and Bioengineering, Department of Chemical Engineering and Biotechnology, University of Chile, Santiago 8370456, Chile; MATHomics, Center for Mathematical Modeling; Center for Genome Regulation (Fondap 15090007), University of Chile, Santiago 8370456, Chile
| | - Michael J Betenbaugh
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Bernhard O Palsson
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Novo Nordisk Foundation Center for Biosustainability at the School of Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark; Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Mikael R Andersen
- Department of Systems Biology, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Lars K Nielsen
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Corner College and Cooper Roads (Building 75), Brisbane, QLD 4072, Australia
| | - Nicole Borth
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, 1190 Vienna, Austria; Austrian Centre of Industrial Biotechnology, 1190 Vienna, Austria.
| | - Dong-Yup Lee
- Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117585, Singapore; Bioprocessing Technology Institute, Agency for Science, Technology and Research (A(∗)STAR), 20 Biopolis Way, 06-01, Centros, Singapore 138668, Singapore.
| | - Nathan E Lewis
- Novo Nordisk Foundation Center for Biosustainability at the School of Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA.
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