Your browser doesn't support javascript.
loading
Automation and Expansion of EMMA Assembly for Fast-Tracking Mammalian System Engineering.
James, Joshua S; Jones, Sally; Martella, Andrea; Luo, Yisha; Fisher, David I; Cai, Yizhi.
Affiliation
  • James JS; Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
  • Jones S; Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore.
  • Martella A; John Innes Centre, Norwich Research Park, Norwich, Norfolk NR4 7UH, U.K.
  • Luo Y; Discovery Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, U.K.
  • Fisher DI; Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
  • Cai Y; Discovery Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, U.K.
ACS Synth Biol ; 11(2): 587-595, 2022 02 18.
Article in En | MEDLINE | ID: mdl-35061373
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA, Guide, Kinetoplastida / Gene Editing Type of study: Guideline Limits: Animals Language: En Journal: ACS Synth Biol Year: 2022 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA, Guide, Kinetoplastida / Gene Editing Type of study: Guideline Limits: Animals Language: En Journal: ACS Synth Biol Year: 2022 Document type: Article Affiliation country: United kingdom