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James JS, Dai J, Chew WL, Cai Y. The design and engineering of synthetic genomes. Nat Rev Genet 2025; 26:298-319. [PMID: 39506144 DOI: 10.1038/s41576-024-00786-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/23/2024] [Indexed: 11/08/2024]
Abstract
Synthetic genomics seeks to design and construct entire genomes to mechanistically dissect fundamental questions of genome function and to engineer organisms for diverse applications, including bioproduction of high-value chemicals and biologics, advanced cell therapies, and stress-tolerant crops. Recent progress has been fuelled by advancements in DNA synthesis, assembly, delivery and editing. Computational innovations, such as the use of artificial intelligence to provide prediction of function, also provide increasing capabilities to guide synthetic genome design and construction. However, translating synthetic genome-scale projects from idea to implementation remains highly complex. Here, we aim to streamline this implementation process by comprehensively reviewing the strategies for design, construction, delivery, debugging and tailoring of synthetic genomes as well as their potential applications.
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Affiliation(s)
- Joshua S James
- Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Junbiao Dai
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Wei Leong Chew
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Yizhi Cai
- Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.
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2
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Grob A, Enrico Bena C, Di Blasi R, Pessina D, Sood M, Yunyue Z, Bosia C, Isalan M, Ceroni F. Mammalian cell growth characterisation by a non-invasive plate reader assay. Nat Commun 2024; 15:57. [PMID: 38167870 PMCID: PMC10761699 DOI: 10.1038/s41467-023-44396-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 12/12/2023] [Indexed: 01/05/2024] Open
Abstract
Automated and non-invasive mammalian cell analysis is currently lagging behind due to a lack of methods suitable for a variety of cell lines and applications. Here, we report the development of a high throughput non-invasive method for tracking mammalian cell growth and performance based on plate reader measurements. We show the method to be suitable for both suspension and adhesion cell lines, and we demonstrate it can be adopted when cells are grown under different environmental conditions. We establish that the method is suitable to inform on effective drug treatments to be used depending on the cell line considered, and that it can support characterisation of engineered mammalian cells over time. This work provides the scientific community with an innovative approach to mammalian cell screening, also contributing to the current efforts towards high throughput and automated mammalian cell engineering.
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Affiliation(s)
- Alice Grob
- Department of Chemical Engineering, Imperial College London, London, UK
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
| | - Chiara Enrico Bena
- Italian Institute for Genomic Medicine, Torino, Italy
- Université Paris-Saclay (INRAE), AgroParisTech, Micalis Institute, 78350, Jouy-en-Josas, France
| | - Roberto Di Blasi
- Department of Chemical Engineering, Imperial College London, London, UK
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
| | - Daniele Pessina
- Department of Chemical Engineering, Imperial College London, London, UK
| | - Matthew Sood
- Department of Chemical Engineering, Imperial College London, London, UK
| | - Zhou Yunyue
- Department of Life Sciences, Imperial College London, London, United Kingdom
| | - Carla Bosia
- Italian Institute for Genomic Medicine, Torino, Italy.
- Department of Applied Science and Technology, Politecnico di Torino, Torino, Italy.
| | - Mark Isalan
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK.
- Department of Life Sciences, Imperial College London, London, United Kingdom.
| | - Francesca Ceroni
- Department of Chemical Engineering, Imperial College London, London, UK.
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK.
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Malcı K, Watts E, Roberts TM, Auxillos JY, Nowrouzi B, Boll HO, Nascimento CZSD, Andreou A, Vegh P, Donovan S, Fragkoudis R, Panke S, Wallace E, Elfick A, Rios-Solis L. Standardization of Synthetic Biology Tools and Assembly Methods for Saccharomyces cerevisiae and Emerging Yeast Species. ACS Synth Biol 2022; 11:2527-2547. [PMID: 35939789 PMCID: PMC9396660 DOI: 10.1021/acssynbio.1c00442] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
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As redesigning organisms using engineering principles
is one of
the purposes of synthetic biology (SynBio), the standardization of
experimental methods and DNA parts is becoming increasingly a necessity.
The synthetic biology community focusing on the engineering of Saccharomyces cerevisiae has been in the foreground in this
area, conceiving several well-characterized SynBio toolkits widely
adopted by the community. In this review, the molecular methods and
toolkits developed for S. cerevisiae are discussed
in terms of their contributions to the required standardization efforts.
In addition, the toolkits designed for emerging nonconventional yeast
species including Yarrowia lipolytica, Komagataella
phaffii, and Kluyveromyces marxianus are
also reviewed. Without a doubt, the characterized DNA parts combined
with the standardized assembly strategies highlighted in these toolkits
have greatly contributed to the rapid development of many metabolic
engineering and diagnostics applications among others. Despite the
growing capacity in deploying synthetic biology for common yeast genome
engineering works, the yeast community has a long journey to go to
exploit it in more sophisticated and delicate applications like bioautomation.
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Affiliation(s)
- Koray Malcı
- Institute for Bioengineering, School of Engineering, University of Edinburgh, Kings Buildings, EH9 3BF Edinburgh, United Kingdom.,Centre for Synthetic and Systems Biology (SynthSys), University of Edinburgh, Kings Buildings, EH9 3BD Edinburgh, United Kingdom
| | - Emma Watts
- School of Biological Sciences, University of Edinburgh, Kings Buildings, EH9 3JW Edinburgh, United Kingdom
| | | | - Jamie Yam Auxillos
- Centre for Synthetic and Systems Biology (SynthSys), University of Edinburgh, Kings Buildings, EH9 3BD Edinburgh, United Kingdom.,Institute of Cell Biology, School of Biological Sciences, University of Edinburgh, Kings Buildings, EH9 3FF Edinburgh, United Kingdom
| | - Behnaz Nowrouzi
- Institute for Bioengineering, School of Engineering, University of Edinburgh, Kings Buildings, EH9 3BF Edinburgh, United Kingdom.,Centre for Synthetic and Systems Biology (SynthSys), University of Edinburgh, Kings Buildings, EH9 3BD Edinburgh, United Kingdom
| | - Heloísa Oss Boll
- Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília, Federal District 70910-900, Brazil
| | | | - Andreas Andreou
- Centre for Synthetic and Systems Biology (SynthSys), University of Edinburgh, Kings Buildings, EH9 3BD Edinburgh, United Kingdom
| | - Peter Vegh
- Edinburgh Genome Foundry, University of Edinburgh, Kings Buildings, Edinburgh EH9 3BF, United Kingdom
| | - Sophie Donovan
- Edinburgh Genome Foundry, University of Edinburgh, Kings Buildings, Edinburgh EH9 3BF, United Kingdom
| | - Rennos Fragkoudis
- Edinburgh Genome Foundry, University of Edinburgh, Kings Buildings, Edinburgh EH9 3BF, United Kingdom
| | - Sven Panke
- Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland
| | - Edward Wallace
- Centre for Synthetic and Systems Biology (SynthSys), University of Edinburgh, Kings Buildings, EH9 3BD Edinburgh, United Kingdom.,Institute of Cell Biology, School of Biological Sciences, University of Edinburgh, Kings Buildings, EH9 3FF Edinburgh, United Kingdom
| | - Alistair Elfick
- Institute for Bioengineering, School of Engineering, University of Edinburgh, Kings Buildings, EH9 3BF Edinburgh, United Kingdom.,Centre for Synthetic and Systems Biology (SynthSys), University of Edinburgh, Kings Buildings, EH9 3BD Edinburgh, United Kingdom
| | - Leonardo Rios-Solis
- Institute for Bioengineering, School of Engineering, University of Edinburgh, Kings Buildings, EH9 3BF Edinburgh, United Kingdom.,Centre for Synthetic and Systems Biology (SynthSys), University of Edinburgh, Kings Buildings, EH9 3BD Edinburgh, United Kingdom.,School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom
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Luo Y, James JS, Jones S, Martella A, Cai Y. EMMA-CAD: Design Automation for Synthetic Mammalian Constructs. ACS Synth Biol 2022; 11:579-586. [PMID: 35050610 DOI: 10.1021/acssynbio.1c00433] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Computational design tools are the cornerstone of synthetic biology and have underpinned its rapid development over the past two decades. As the field has matured, the scale of biological investigation has expanded dramatically, and researchers often must rely on computational tools to operate in the high-throughput investigational space. This is especially apparent in the modular design of DNA expression circuits, where complexity is accumulated rapidly. Alongside our automated pipeline for the high-throughput construction of Extensible Modular Mammalian Assembly (EMMA) expression vectors, we recognized the need for an integrated software solution for EMMA vector design. Here we present EMMA-CAD (https://emma.cailab.org), a powerful web-based computer-aided design tool for the rapid design of bespoke mammalian expression vectors. EMMA-CAD features a variety of functionalities, including a user-friendly design interface, automated connector selection underpinned by rigorous computer optimization algorithms, customization of part libraries, and personalized design spaces. Capable of translating vector assembly designs into human- and machine-readable protocols for vector construction, EMMA-CAD integrates seamlessly into our automated EMMA pipeline, hence completing an end-to-end design to production workflow.
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Affiliation(s)
- Yisha Luo
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, U.K
| | - Joshua S. James
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, U.K
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Sally Jones
- John Innes Centre, Norwich Research Park, Norwich, Norfolk NR4 7UH, U.K
| | - Andrea Martella
- Discovery Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | - Yizhi Cai
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, U.K
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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