Selection of UTRs in mRNA-Based Gene Therapy and Vaccines
Abstract
The untranslated regions (UTRs) of messenger RNAs (mRNAs) play a crucial role in regulating translational efficiency, stability, and tissue-specific expression. The review describes various applications and challenges of UTR design in the development of gene therapy and mRNA-based therapeutics. UTRs affect critical biological functions, such as mRNA stability, modulation of protein synthesis, and attenuation of immune response. Incorporating tissue-specific microRNA (miRNA)-binding sites into 3' UTRs might improve precise targeting of transgene expression and minimize off-target effects. Nucleotide modifications (pseudouridine, N1-methyladenosine, and N4-acetylcytidine) in mRNA and UTRs in particular, improve mRNA stability and translational efficiency. At the same time, several challenges remain, such as lack of consensus on UTRs best suited for certain biomedical applications. Current efforts are focused on integrating high-throughput screening, computational modeling, and experimental validation to refine UTR-based therapeutic strategies. The review presents current information on the design of UTRs and their role in therapeutic applications, with special focus on the possibilities and limitations of existing approaches.
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Inclusion of specific untranslated regions is a promising strategy to enhance stability and efficacy of mRNA therapeutics.
“Recent studies demonstrate that, in addition to the incorporation of modified nucleosides, the inclusion of specific untranslated regions represents a highly promising strategy to enhance the stability and efficacy of mRNA therapeutics [12][13][14][15][16].”
From Identification of novel 5’ UTR variants for enhanced mRNA translation and vaccine immunogenicity (2026) · cites this paper as [14]
Several synthetic 5′ UTR sequences have demonstrated strong performance.
“However, several synthetic sequences have also demonstrated strong performance [14,19].”
From Identification of novel 5’ UTR variants for enhanced mRNA translation and vaccine immunogenicity (2026) · cites this paper as [14]
The 5′ UTR may contain additional regulatory elements such as uAUGs, uORFs, G-quadruplexes, 5′ TOP, and recognition sites for RNA-binding proteins and small RNAs that modulate translation rates.
“The 5′ UTR may also contain additional regulatory elements, such as upstream AUG codons (uAUGs) and upstream open reading frames (uORFs), G-quadruplexes, a terminal oligopyrimidine tract (5′ TOP), and recognition sites for RNA-binding proteins and small RNAs that modulate translation rates [14].”
From Identification of novel 5’ UTR variants for enhanced mRNA translation and vaccine immunogenicity (2026) · cites this paper as [14]
Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · see citing works
Engineering adeno-associated virus vectors for gene therapy
Li, C., & Samulski, R. J. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-019-0205-4 · Cited by 1,175 · see citing works
Distribution of miRNA expression across human tissues
Ludwig, N., Leidinger, P., Becker, K., Backes, C., Fehlmann, T., Pallasch, C., Rheinheimer, S., Meder, B., Stähler, C., Meese, E., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw116 · Cited by 968 · see citing works
Tools for translation: non-viral materials for therapeutic mRNA delivery
Hajj, K. A., & Whitehead, K. A. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.56 · Cited by 799 · see citing works
Muckenthaler, M. U., Galy, B., & Hentze, M. W. (2008) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.28.061807.155521 · Cited by 701 · see citing works
Incorporation of pseudouridine into mRNA enhances translation by diminishing PKR activation
Anderson, B. R., Muramatsu, H., Nallagatla, S. R., Bevilacqua, P. C., Sansing, L. H., Weissman, D., & Karikó, K. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq347 · Cited by 682 · see citing works
Holtkamp, S., Kreiter, S., Selmi, A., Simon, P., Koslowski, M., Huber, C., Türeci, O., & Sahin, U. (2006) · Blood · doi:10.1182/blood-2006-04-015024 · Cited by 625 · see citing works
Opportunities and Challenges in the Delivery of mRNA-Based Vaccines
Wadhwa, A., Aljabbari, A., Lokras, A., Foged, C., & Thakur, A. (2020) · Pharmaceutics · doi:10.3390/pharmaceutics12020102 · Cited by 584 · see citing works
Human 5′ UTR design and variant effect prediction from a massively parallel translation assay
Sample, P. J., Wang, B., Reid, D. W., Presnyak, V., McFadyen, I. J., Morris, D. R., & Seelig, G. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0164-5 · Cited by 442 · 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
Loeb, J. E., Cordier, W. S., Harris, M. E., Weitzman, M. D., & Hope, T. J. (1999) · Human Gene Therapy · doi:10.1089/10430349950016942 · Cited by 279 · see citing works
Kim, S. C., Sekhon, S. S., Shin, W.-R., Ahn, G., Cho, B.-K., Ahn, J.-Y., & Kim, Y.-H. (2022) · Molecular & Cellular Toxicology · doi:10.1007/s13273-021-00171-4 · Cited by 255 · see citing works
Kuhn, A. N., Diken, M., Kreiter, S., Selmi, A., Kowalska, J., Jemielity, J., Darzynkiewicz, E., Huber, C., Türeci, Ö., & Sahin, U. (2010) · Gene Therapy · doi:10.1038/gt.2010.52 · Cited by 226 · 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
Qiao, C., Yuan, Z., Li, J., He, B., Zheng, H., Mayer, C., Li, J., & Xiao, X. (2011) · Gene Therapy · doi:10.1038/gt.2010.157 · Cited by 163 · see citing works
Addressing high dose AAV toxicity – ‘one and done’ or ‘slower and lower’
Kishimoto, T. K., & Samulski, R. J. (2022) · Expert Opinion on Biological Therapy · doi:10.1080/14712598.2022.2060737 · Cited by 152 · see citing works
Schrom, E., Huber, M., Aneja, M., Dohmen, C., Emrich, D., Geiger, J., Hasenpusch, G., Herrmann-Janson, A., Kretzschmann, V., Mykhailyk, O., et al. (2017) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2017.04.006 · Cited by 69 · see citing works
Linares-Fernández, S., Moreno, J., Lambert, E., Mercier-Gouy, P., Vachez, L., Verrier, B., & Exposito, J.-Y. (2021) · Molecular Therapy - Nucleic Acids · doi:10.1016/j.omtn.2021.10.007 · Cited by 62 · see citing works
MicroRNA-Restricted Transgene Expression in the Retina
Karali, M., Manfredi, A., Puppo, A., Marrocco, E., Gargiulo, A., Allocca, M., Corte, M. D., Rossi, S., Giunti, M., Bacci, M. L., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022166 · Cited by 60 · see citing works
Xiao, Y., Muhuri, M., Li, S., Qin, W., Xu, G., Luo, L., Li, J., Letizia, A. J., Wang, S. K., Chan, Y. K., et al. (2019) · JCI Insight · doi:10.1172/jci.insight.99052 · Cited by 53 · see citing works
Untranslated Region Sequences and the Efficacy of mRNA Vaccines against Tuberculosis
Reshetnikov, V., Terenin, I., Shepelkova, G., Yeremeev, V., Kolmykov, S., Nagornykh, M., Kolosova, E., Sokolova, T., Zaborova, O., Kukushkin, I., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25020888 · Cited by 33 · see citing works
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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
- Volkhin, I. A., Paremskaia, A. I., Dashian, M. A., Smeshnova, D. S., Pavlov, R. E., Mityaeva, O. N., Volchkov, P. Y., & Deviatkin, A. A.
- Affiliations
- Lomonosov Moscow State University (RU)
- Pirogov Russian National Research Medical University (RU)
- Centre of Advanced Studies (RU)
- Moscow Clinical Scientific Center (RU)
- The Federal State Budgetary Scientific Institution "Izmerov Research Institute of Occupational Health" (RU)
- Corresponding author
- Deviatkin, Andrei A.
- ORCID
- Venue
- Biochemistry (Moscow)
- Publisher
- Pleiades Publishing Ltd
- Published
- 2025-06
- Volume
- 90
- Issue
- 6
- Pages
- 725-753
- ISSN
- 0006-2979 (ISSN-L)
- 1608-3040
- OpenAlex
- W4411932235
- Cited by
- 7
- References
- 23
- Citations by year
- 2026: 5 · 2025: 2
- FWCI
- 0.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Biochemistry (Moscow) (publishedVersion)
- PubMed (publishedVersion)
- 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
- untranslated regions, mRNA vaccines, microRNA binding sites, tissue-specific gene expression, mRNA stability, translation efficiency, nucleoside modification, pseudouridine, N1-methyladenosine, N4-acetylcytidine, off-target effects, high-throughput screening, computational modeling
- MeSH terms
- Animals, Humans, RNA, Messenger, Vaccines, Genetic Therapy, Untranslated Regions, MicroRNAs
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