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An Update on Self-Amplifying mRNA Vaccine Development
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Abstract
This review will explore the four major pillars required for design and development of an saRNA vaccine: Antigen design, vector design, non-viral delivery systems, and manufacturing (both saRNA and lipid nanoparticles (LNP)). We report on the major innovations, preclinical and clinical data reported in the last five years and will discuss future prospects.
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![Figure 3 A timeline of innovations that have contributed to the development of saRNA vaccines and associated technologies. These include advances in technologies associated with each of the Four Pillars of a successful saRNA vaccine [27,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56].](/paper-figures/d8e7e3e8e86a47779f7ff43b96cfc279/an-update-on-self-amplifying-mrna-vaccine-development-figure-3.jpg)



![Figure 7 A comparison of vaccine drug product manufacturing processes for egg- and cell-based manufacturing of conventional vaccines, as well as vaccines produced from viral genome sequence information such as the RNA, protein subunit, and viral vectored DNA vaccines against SARS-CoV-2 from Moderna, Novavax, and Johnson & Johnson respectively [130,131,132,133,134,135,136,137,138,139,140,141,142,143]. RNA vaccines offer a cell-free manufacturing process that is responsible for many advantages of the platform, allowing facile and rapid vaccine manufacturing. Moderna’s mRNA vaccine against SARS-CoV-2 (mRNA-1273) began clinical trials just 63 days following the publication of the SARS-CoV-2 genome. * For comparative purposes, we have included historical timelines for the flu pandemic vaccines for egg and cell culture production, but it should be noted that large efficacy trials are not required for these vaccines since they are licensed based on a correlate of protection (hemagglutination inhibition (HI) antibody responses).](/paper-figures/51b7edd15c86450b88fbb8127c627bbb/an-update-on-self-amplifying-mrna-vaccine-development-figure-7.jpg)

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“saRNA vaccines can deliver genetic information encoding the target antigen and other genes, e.g., viral RNA polymerase, to enable mRNA to self-replicate.109,110”
From Advances in COVID-19 mRNA vaccine development (2022) · cites this paper as [109]
In the citing paper
“Another approach to reducing dose levels is the use of an mRNA platform that is able to self-amplify.50”
From COVID-19 mRNA vaccines: Platforms and current developments (2022) · cites this paper as [50]
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“Accordingly, despite lower doses, the use of saRNA vaccines lead to higher reactogenicity.50,157”
From COVID-19 mRNA vaccines: Platforms and current developments (2022) · cites this paper as [50]
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Metadata
- Authors
- Blakney, A. K., Ip, S., & Geall, A. J.
- Affiliations
- University of British Columbia (CA)
- Precision Nanosystems (Canada) (CA)
- Corresponding author
- Blakney, Anna K.
- Venue
- Vaccines
- Publisher
- MDPI AG
- Published
- 2021-01-28
- Volume
- 9
- Issue
- 2
- Pages
- 97
- ISSN
- 2076-393X (ISSN-L)
- PMC
- PMC7911542
- OpenAlex
- W3112388253
- Cited by
- 288
- References
- 170
- Citations by year
- 2026: 48 · 2025: 55 · 2024: 53 · 2023: 49 · 2022: 50 · 2021: 33
- FWCI
- 4.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Vaccines (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- cIRcle (University of British Columbia) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Open Collections
- Funders
- H2020 Marie Skłodowska-Curie Actions (794059)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Keywords
- self-amplifying RNA vaccine, antigen design, vector design, lipid nanoparticles, vaccine production
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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