RNA stability enhancers for durable base-modified mRNA therapeutics
Open accessAbstract
The limited stability of mRNA in vivo remains a major challenge for vaccines and therapeutics. While alternative RNA formats such as circular RNA or self-amplifying RNA offer greater durability, these modalities often suffer from low translation, modification incompatibility and difficult manufacturing. To overcome these limitations, we screen 196,277 viral sequences and identify eleven elements that strongly enhance mRNA stability and translation. Mechanistically, they recruit TENT4 to extend the poly(A) tail, preventing deadenylation. Five of them are compatible with N 1 -methylpseudouridine, which improves mRNA efficacy and reduces immunogenicity. An element named A7 demonstrates particularly robust performance across cell types, delivery methods, modifications and coding sequences, making linear mRNA as stable as circular RNA while achieving higher translation efficiency. In mouse liver, A7-containing linear mRNA exhibits substantially higher protein levels than circular RNA, with sustained expression lasting for over 2 weeks. These RNA stability enhancers enable robust linear mRNA platforms that combine high and durable expression, low immunogenicity and simple manufacturing.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The 5′ UTRs of highly expressed natural genes such as HBA1 and HBB provide high translational activity and mRNA stability.
“These criteria are met by the 5′ UTRs of highly expressed natural genes such as HBA1 and HBB, encoding α-and β-globin, respectively, which provide high translational activity and mRNA stability [21,22].”
From Identification of novel 5’ UTR variants for enhanced mRNA translation and vaccine immunogenicity (2026) · cites this paper as [22]
Cites
Karikó, K., Muramatsu, H., Welsh, F. A., Ludwig, J., Kato, H., Akira, S., & Weissman, D. (2008) · Molecular Therapy · doi:10.1038/mt.2008.200 · Cited by 1,930 · see citing works
mRNA-lipid nanoparticle COVID-19 vaccines: structure and stability
Schoenmaker, L., Witzigmann, D., Kulkarni, J. A., Verbeke, R., Kersten, G., Jiskoot, W., & Crommelin, D. J. A. (2021) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2021.120586 · Cited by 1,566 · see citing works
Engineering circular RNA for potent and stable translation in eukaryotic cells
Wesselhoeft, R. A., Kowalski, P. S., & Anderson, D. G. (2018) · Nature Communications · doi:10.1038/s41467-018-05096-6 · Cited by 884 · see citing works
BNT162b2 vaccine induces neutralizing antibodies and poly-specific T cells in humans
Sahin, U., Muik, A., Vogler, I., Derhovanessian, E., Kranz, L. M., Vormehr, M., Quandt, J., Bidmon, N., Ulges, A., Baum, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03653-6 · Cited by 845 · see citing works
Enuka, Y., Lauriola, M., Feldman, M. E., Sas-Chen, A., Ulitsky, I., & Yarden, Y. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1367 · Cited by 757 · see citing works
Ribosome Profiling Shows That miR-430 Reduces Translation Before Causing mRNA Decay in Zebrafish
Bazzini, A. A., Lee, M. T., & Giraldez, A. J. (2012) · Science · doi:10.1126/science.1215704 · Cited by 709 · see citing works
Nonviral delivery of self-amplifying RNA vaccines
Geall, A. J., Verma, A., Otten, G. R., Shaw, C. A., Hekele, A., Banerjee, K., Cu, Y., Beard, C. W., Brito, L. A., Krucker, T., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1209367109 · Cited by 675 · see citing works
Algorithm for optimized mRNA design improves stability and immunogenicity
Zhang, H., Zhang, L., Lin, A., Xu, C., Li, Z., Liu, K., Liu, B., Ma, X., Zhao, F., Jiang, H., et al. (2023) · Nature · doi:10.1038/s41586-023-06127-z · Cited by 498 · see citing works
Self-amplifying RNA vaccines for infectious diseases
Bloom, K., van den Berg, F., & Arbuthnot, P. (2021) · Gene Therapy · doi:10.1038/s41434-020-00204-y · Cited by 487 · see citing works
Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics
Leppek, K., Byeon, G. W., Kladwang, W., Wayment-Steele, H. K., Kerr, C. H., Xu, A. F., Kim, D. S., Topkar, V. V., Choe, C., Rothschild, D., et al. (2021) · doi:10.1101/2021.03.29.437587 · Cited by 399 · see citing works
Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics
Leppek, K., Byeon, G. W., Kladwang, W., Wayment-Steele, H. K., Kerr, C. H., Xu, A. F., Kim, D. S., Topkar, V. V., Choe, C., Rothschild, D., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28776-w · Cited by 399 · see citing works
Orlandini von Niessen, A. G., Poleganov, M. A., Rechner, C., Plaschke, A., Kranz, L. M., Fesser, S., Diken, M., Löwer, M., Vallazza, B., Beissert, T., et al. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2018.12.011 · Cited by 365 · see citing works
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search
Huang, L., Zhang, H., Deng, D., Zhao, K., Liu, K., Hendrix, D. A., & Mathews, D. H. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz375 · Cited by 207 · see citing works
Detailed Dissection and Critical Evaluation of the Pfizer/BioNTech and Moderna mRNA Vaccines
Xia, X. (2021) · Vaccines · doi:10.3390/vaccines9070734 · Cited by 201 · see citing works
The genetic and biochemical determinants of mRNA degradation rates in mammals
Agarwal, V., & Kelley, D. R. (2022) · Genome Biology · doi:10.1186/s13059-022-02811-x · Cited by 155 · see citing works
A tale of non-canonical tails: gene regulation by post-transcriptional RNA tailing
Yu, S., & Kim, V. N. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0246-8 · Cited by 142 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Identification of novel 5’ UTR variants for enhanced mRNA translation and vaccine immunogenicity
Mazunina, E. P., Dzharullaeva, A. S., Kleymenov, D. A., Bykonia, E. N., Kozlova, S. R., Usachev, E. V., Panova, E. A., Konopleva, M. V., Telegina, D. V., Kukushkina-Zvezdova, A. A., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-59586-5
- Authors
- Jung, S.-J., Seo, J. J., Lee, S., Hyun, S.-I., Lee, J.-E., Lee, S., Lee, Y., Chang, H., Lee, H., Kim, J.-H., & Kim, V. N.
- Affiliations
- Seoul National University (KR)
- Harvard University (US)
- Corresponding author
- Kim, V. Narry
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2025-11-07
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W4415988384
- Cited by
- 26
- References
- 16
- Citations by year
- 2026: 24 · 2025: 2
- FWCI
- 7.18
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (cc-by)
- Funders
- Seoul National University (5200-20250001)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Keywords
- mRNA stability, N1-methylpseudouridine, deadenylation, circular RNA, self-amplifying RNA, translation efficiency, immunogenicity, mRNA vaccines, mRNA therapeutics, liver expression
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 ›
Are you an author, or do you see a problem with this page? Request a review