Unknown

Dataset Information

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


ABSTRACT: 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 t

SUBMITTER: Cao J 

PROVIDER: S-EPMC8260622 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature