Automation and Expansion of EMMA Assembly for Fast-Tracking Mammalian System EngineeringClick to copy article linkArticle link copied!
- Joshua S. JamesJoshua S. JamesManchester 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, SingaporeMore by Joshua S. James
- Sally JonesSally JonesJohn Innes Centre, Norwich Research Park, Norwich, Norfolk NR4 7UH, U.K.More by Sally Jones
- Andrea MartellaAndrea MartellaDiscovery Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, U.K.More by Andrea Martella
- Yisha LuoYisha LuoManchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.More by Yisha Luo
- David I. FisherDavid I. FisherDiscovery Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, U.K.More by David I. Fisher
- Yizhi Cai*Yizhi Cai*Email: [email protected]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, ChinaMore by Yizhi Cai
Abstract

With applications from functional genomics to the production of therapeutic biologics, libraries of mammalian expression vectors have become a cornerstone of modern biological investigation and engineering. Multiple modular vector platforms facilitate the rapid design and assembly of vectors. However, such systems approach a technical bottleneck when a library of bespoke vectors is required. Utilizing the flexibility and robustness of the Extensible Mammalian Modular Assembly (EMMA) toolkit, we present an automated workflow for the library-scale design, assembly, and verification of mammalian expression vectors. Vector design is simplified using our EMMA computer-aided design tool (EMMA-CAD), while the precision and speed of acoustic droplet ejection technology are applied in vector assembly. Our pipeline facilitates significant reductions in both reagent usage and researcher hands-on time compared with manual assembly, as shown by system Q-metrics. To demonstrate automated EMMA performance, we compiled a library of 48 distinct plasmid vectors encoding either CRISPR interference or activation modalities. Characterization of the workflow parameters shows that high assembly efficiency is maintained across vectors of various sizes and design complexities. Our system also performs strongly compared with manual assembly efficiency benchmarks. Alongside our automated pipeline, we present a straightforward strategy for integrating gRNA and Cas modules into the EMMA platform, enabling the design and manufacture of valuable genome editing resources.
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This article is cited by 4 publications.
- Koray Malcı, Emma Watts, Tania Michelle Roberts, Jamie Yam Auxillos, Behnaz Nowrouzi, Heloísa Oss Boll, Cibele Zolnier Sousa do Nascimento, Andreas Andreou, Peter Vegh, Sophie Donovan, Rennos Fragkoudis, Sven Panke, Edward Wallace, Alistair Elfick, Leonardo Rios-Solis. Standardization of Synthetic Biology Tools and Assembly Methods for Saccharomyces cerevisiae and Emerging Yeast Species. ACS Synthetic Biology 2022, 11
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- Yisha Luo, Joshua S. James, Sally Jones, Andrea Martella, Yizhi Cai. EMMA-CAD: Design Automation for Synthetic Mammalian Constructs. ACS Synthetic Biology 2022, 11
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, 579-586. https://doi.org/10.1021/acssynbio.1c00433
- Joshua S. James, Junbiao Dai, Wei Leong Chew, Yizhi Cai. The design and engineering of synthetic genomes. Nature Reviews Genetics 2025, 26
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- Alice Grob, Chiara Enrico Bena, Roberto Di Blasi, Daniele Pessina, Matthew Sood, Zhou Yunyue, Carla Bosia, Mark Isalan, Francesca Ceroni. Mammalian cell growth characterisation by a non-invasive plate reader assay. Nature Communications 2024, 15
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