Theoretical basis for stabilizing messenger RNA through secondary structure design.


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
11 10 2021
Historique:
accepted: 27 08 2021
revised: 17 08 2021
received: 10 03 2021
pubmed: 15 9 2021
medline: 21 10 2021
entrez: 14 9 2021
Statut: ppublish

Résumé

RNA hydrolysis presents problems in manufacturing, long-term storage, world-wide delivery and in vivo stability of messenger RNA (mRNA)-based vaccines and therapeutics. A largely unexplored strategy to reduce mRNA hydrolysis is to redesign RNAs to form double-stranded regions, which are protected from in-line cleavage and enzymatic degradation, while coding for the same proteins. The amount of stabilization that this strategy can deliver and the most effective algorithmic approach to achieve stabilization remain poorly understood. Here, we present simple calculations for estimating RNA stability against hydrolysis, and a model that links the average unpaired probability of an mRNA, or AUP, to its overall hydrolysis rate. To characterize the stabilization achievable through structure design, we compare AUP optimization by conventional mRNA design methods to results from more computationally sophisticated algorithms and crowdsourcing through the OpenVaccine challenge on the Eterna platform. We find that rational design on Eterna and the more sophisticated algorithms lead to constructs with low AUP, which we term 'superfolder' mRNAs. These designs exhibit a wide diversity of sequence and structure features that may be desirable for translation, biophysical size, and immunogenicity. Furthermore, their folding is robust to temperature, computer modeling method, choice of flanking untranslated regions, and changes in target protein sequence, as illustrated by rapid redesign of superfolder mRNAs for B.1.351, P.1 and B.1.1.7 variants of the prefusion-stabilized SARS-CoV-2 spike protein. Increases in in vitro mRNA half-life by at least two-fold appear immediately achievable.

Identifiants

pubmed: 34520542
pii: 6370252
doi: 10.1093/nar/gkab764
pmc: PMC8499941
doi:

Substances chimiques

RNA, Double-Stranded 0
RNA, Messenger 0
RNA, Viral 0
Spike Glycoprotein, Coronavirus 0
spike protein, SARS-CoV-2 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

10604-10617

Subventions

Organisme : NIGMS NIH HHS
ID : R35 GM122579
Pays : United States

Commentaires et corrections

Type : UpdateOf
Type : ErratumIn

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Auteurs

Hannah K Wayment-Steele (HK)

Department of Chemistry, Stanford University, Stanford, CA 94305, USA.
Eterna Massive Open Laboratory.

Do Soon Kim (DS)

Eterna Massive Open Laboratory.
Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA.
Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.

Christian A Choe (CA)

Eterna Massive Open Laboratory.
Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.

John J Nicol (JJ)

Eterna Massive Open Laboratory.

Andrew M Watkins (AM)

Eterna Massive Open Laboratory.
Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.

R Andres Parra Sperberg (RA)

Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.

Po-Ssu Huang (PS)

Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.

Eterna Participants (E)

Eterna Massive Open Laboratory.

Rhiju Das (R)

Eterna Massive Open Laboratory.
Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.
Department of Physics, Stanford University, Stanford, CA 94305, USA.

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