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High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies
by
Novoa, Eva Maria
, Kellis, Manolis
, Zhang, Zhizhuo
, Lu, Timothy K.
, Wong, Alan S. L.
, Cao, Jicong
, Choi, Gigi C. G.
, Wehrspaun, Claudia
, Chen, William C. W.
, Liu, Dianbo
in
13/44
/ 38
/ 49
/ 49/109
/ 49/23
/ 49/31
/ 49/40
/ 5' Untranslated Regions
/ 5' Untranslated Regions - genetics
/ 631/114/2163
/ 631/1647/2017
/ 631/337/574
/ 631/553/552
/ 82/80
/ Algorithms
/ Cell Line
/ Computer applications
/ Copy number
/ Cytomegalovirus
/ Design
/ Design optimization
/ Gene Expression
/ Gene therapy
/ Genetic algorithms
/ Genetic Engineering
/ Genetic Therapy
/ HEK293 Cells
/ High-throughput screening
/ High-Throughput Screening Assays
/ Humanities and Social Sciences
/ Humans
/ Integration
/ multidisciplinary
/ Payloads
/ Plasmids
/ Position effects
/ Promoter Regions, Genetic
/ Protein engineering
/ Protein expression
/ Proteins
/ Recombinase
/ Recombinases
/ Science
/ Science (multidisciplinary)
/ Sensitivity enhancement
2021
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High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies
by
Novoa, Eva Maria
, Kellis, Manolis
, Zhang, Zhizhuo
, Lu, Timothy K.
, Wong, Alan S. L.
, Cao, Jicong
, Choi, Gigi C. G.
, Wehrspaun, Claudia
, Chen, William C. W.
, Liu, Dianbo
in
13/44
/ 38
/ 49
/ 49/109
/ 49/23
/ 49/31
/ 49/40
/ 5' Untranslated Regions
/ 5' Untranslated Regions - genetics
/ 631/114/2163
/ 631/1647/2017
/ 631/337/574
/ 631/553/552
/ 82/80
/ Algorithms
/ Cell Line
/ Computer applications
/ Copy number
/ Cytomegalovirus
/ Design
/ Design optimization
/ Gene Expression
/ Gene therapy
/ Genetic algorithms
/ Genetic Engineering
/ Genetic Therapy
/ HEK293 Cells
/ High-throughput screening
/ High-Throughput Screening Assays
/ Humanities and Social Sciences
/ Humans
/ Integration
/ multidisciplinary
/ Payloads
/ Plasmids
/ Position effects
/ Promoter Regions, Genetic
/ Protein engineering
/ Protein expression
/ Proteins
/ Recombinase
/ Recombinases
/ Science
/ Science (multidisciplinary)
/ Sensitivity enhancement
2021
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High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies
by
Novoa, Eva Maria
, Kellis, Manolis
, Zhang, Zhizhuo
, Lu, Timothy K.
, Wong, Alan S. L.
, Cao, Jicong
, Choi, Gigi C. G.
, Wehrspaun, Claudia
, Chen, William C. W.
, Liu, Dianbo
in
13/44
/ 38
/ 49
/ 49/109
/ 49/23
/ 49/31
/ 49/40
/ 5' Untranslated Regions
/ 5' Untranslated Regions - genetics
/ 631/114/2163
/ 631/1647/2017
/ 631/337/574
/ 631/553/552
/ 82/80
/ Algorithms
/ Cell Line
/ Computer applications
/ Copy number
/ Cytomegalovirus
/ Design
/ Design optimization
/ Gene Expression
/ Gene therapy
/ Genetic algorithms
/ Genetic Engineering
/ Genetic Therapy
/ HEK293 Cells
/ High-throughput screening
/ High-Throughput Screening Assays
/ Humanities and Social Sciences
/ Humans
/ Integration
/ multidisciplinary
/ Payloads
/ Plasmids
/ Position effects
/ Promoter Regions, Genetic
/ Protein engineering
/ Protein expression
/ Proteins
/ Recombinase
/ Recombinases
/ Science
/ Science (multidisciplinary)
/ Sensitivity enhancement
2021
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High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies
Journal Article
High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies
2021
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Overview
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.
The engineering of 5′ UTRs that modulate protein expression remains a great challenge. Here we leverage synthetic biology and computational design to develop a high-throughput strategy to design, screen, and optimize 5′ UTRs that enhance protein expression for non-viral gene therapies.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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