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 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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 06, 2021
Source ID
10.1038/s41467-021-24436-7

Entities

People

  • Alan S. L. Wong
  • Claudia Wehrspaun
  • Dianbo Liu
  • Eva Maria Novoa Pardo
  • Gigi C.G. Choi
  • Jicong Cao
  • Manolis Kellis
  • Timothy K. Lu
  • William C. W. Chen
  • Zhizhuo Zhang

Organizations

  • Army Research Office
  • National Institutes of Health

Tags

Fields of Study

  • Biology

Readers

  • Molecular Genetics

Technology Areas

  • AI & ML
  • Biotechnology
  • Biotechnology - Cancer Biotech