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High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies

Author(s)
Cao, Jicong; Novoa, Eva Maria; Zhang, Zhizhuo; Chen, William CW; Liu, Dianbo; Choi, Gigi CG; Wong, Alan SL; Wehrspaun, Claudia; Kellis, Manolis; Lu, Timothy K; ... Show more Show less
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Abstract
<jats:title>Abstract</jats:title><jats:p>Despite significant clinical progress in cell and gene therapies, maximizing protein expression in order to enhance potency remains a major technical challenge. Here, we develop a high-throughput strategy to design, screen, and optimize 5′ UTRs that enhance protein expression from a strong human cytomegalovirus (CMV) promoter. We first identify naturally occurring 5′ UTRs with high translation efficiencies and use this information with in silico genetic algorithms to generate synthetic 5′ UTRs. A total of ~12,000 5′ UTRs are then screened using a recombinase-mediated integration strategy that greatly enhances the sensitivity of high-throughput screens by eliminating copy number and position effects that limit lentiviral approaches. Using this approach, we identify three synthetic 5′ UTRs that outperform commonly used non-viral gene therapy plasmids in expressing protein payloads. In summary, we demonstrate that high-throughput screening of 5′ UTR libraries with recombinase-mediated integration can identify genetic elements that enhance protein expression, which should have numerous applications for engineered cell and gene therapies.</jats:p>
Date issued
2021
URI
https://hdl.handle.net/1721.1/143714
Department
Massachusetts Institute of Technology. Research Laboratory of Electronics; Massachusetts Institute of Technology. Department of Biological Engineering; Massachusetts Institute of Technology. Synthetic Biology Center; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Cao, Jicong, Novoa, Eva Maria, Zhang, Zhizhuo, Chen, William CW, Liu, Dianbo et al. 2021. "High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies." Nature Communications, 12 (1).
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