Synthetic G-quadruplex components for predictable, precise two-level control of mammalian recombinant protein expression

Control of mammalian recombinant protein expression underpins the in vitro manufacture and in vivo performance of all biopharmaceutical products. However, routine optimization of protein expression levels in these applications is hampered by a paucity of genetic elements that function predictably across varying molecular formats and host cell contexts. Herein, we describe synthetic genetic components that are specifically built to simplify bioindustrial expression cassette design processes. Synthetic G-quadruplex elements with varying sequence feature compositions were systematically designed to exhibit a wide range of regulatory activities and inserted into identified optimal positions within a standardized, bioindustry compatible core promoter-5'UTR control unit. The resulting library tuned protein production rates over two orders of magnitude, where DNA and RNA G-quadruplexes could be deployed individually or in combination to achieve synergistic two-level regulatory control. We demonstrate these components can predictably and precisely tailor protein expression levels in (i) varying gene therapy and biomanufacturing cell hosts and (ii) both plasmid DNA and synthetic messenger RNA contexts. As an exemplar use case, a vector design platform was created to facilitate rapid optimization of polypeptide expression ratios for difficult-to-express multichain products. Permitting simple, predictable titration of recombinant protein expression, this technology should prove useful for gene therapy and biopharmaceutical manufacturing applications.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2025-07-19
DOI
https://doi.org/10.1093/nar/gkaf732
Primary Topic
RNA Interference and Gene Delivery
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synthetic G-quadruplex components for predictable, precise two-level control of mammalian recombinant protein expression

Suzanne J. Gibson, Ryan Holden, Edward Curry, Melinda Pohle et al.
Nucleic Acids Research
RNA Interference and Gene Delivery
article

Synthetic G-quadruplex components for predictable, precise two-level control of mammalian recombinant protein expression

Suzanne J. Gibson, Ryan Holden, Edward Curry, Melinda Pohle, Adam Brown
article en

Abstract

Control of mammalian recombinant protein expression underpins the in vitro manufacture and in vivo performance of all biopharmaceutical products. However, routine optimization of protein expression levels in these applications is hampered by a paucity of genetic elements that function predictably across varying molecular formats and host cell contexts. Herein, we describe synthetic genetic components that are specifically built to simplify bioindustrial expression cassette design processes. Synthetic G-quadruplex elements with varying sequence feature compositions were systematically designed to exhibit a wide range of regulatory activities and inserted into identified optimal positions within a standardized, bioindustry compatible core promoter-5'UTR control unit. The resulting library tuned protein production rates over two orders of magnitude, where DNA and RNA G-quadruplexes could be deployed individually or in combination to achieve synergistic two-level regulatory control. We demonstrate these components can predictably and precisely tailor protein expression levels in (i) varying gene therapy and biomanufacturing cell hosts and (ii) both plasmid DNA and synthetic messenger RNA contexts. As an exemplar use case, a vector design platform was created to facilitate rapid optimization of polypeptide expression ratios for difficult-to-express multichain products. Permitting simple, predictable titration of recombinant protein expression, this technology should prove useful for gene therapy and biopharmaceutical manufacturing applications.

Nucleic Acids ResearchVol. 53(14)
AstraZeneca (Poland) (PL), AstraZeneca (Spain) (ES), University of Sheffield (GB)
AstraZeneca, University of Sheffield, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 83%
RNA Interference and Gene Delivery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.