N1-methylpseudouridine-incorporated mRNA outperforms pseudouridine-incorporated mRNA by providing enhanced protein expression and reduced immunogenicity in mammalian cell lines and mice
Open accessAbstract
Messenger RNA as a therapeutic modality is becoming increasingly popular in the field of gene therapy. The realization that nucleobase modifications can greatly enhance the properties of mRNA by reducing the immunogenicity and increasing the stability of the RNA molecule (the Kariko paradigm) has been pivotal for this revolution. Here we find that mRNAs containing the N(1)-methylpseudouridine (m1Ψ) modification alone and/or in combination with 5-methylcytidine (m5C) outperformed the current state-of-the-art pseudouridine (Ψ) and/or m5C/Ψ-modified mRNA platform by providing up to ~44-fold (when comparing double modified mRNAs) or ~13-fold (when comparing single modified mRNAs) higher reporter gene expression upon transfection into cell lines or mice, respectively. We show that (m5C/)m1Ψ-modified mRNA resulted in reduced intracellular innate immunogenicity and improved cellular viability compared to (m5C/)Ψ-modified mRNA upon in vitro transfection. The enhanced capability of (m5C/)m1Ψ-modified mRNA to express proteins may at least partially be due to the increased ability of the mRNA to evade activation of endosomal Toll-like receptor 3 (TLR3) and downstream innate immune signaling. We believe that the (m5C/)m1Ψ-mRNA platform presented here may serve as a new standard in the field of modified mRNA-based therapeutics.
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Incorporation of naturally occurring nucleosides and stringent purification to remove double-stranded RNA contaminants can circumvent the high innate immunogenicity of purified unmodified IVT mRNA.
“This can be circumvented by the incorporation of naturally occurring nucleosides and by applying stringent purification to remove double-stranded RNA contaminants (19–21).”
From mRNA vaccine with unmodified uridine induces robust type I interferon-dependent anti-tumor immunity in a melanoma model (2022) · cites this paper as [19]
1-methylpseudouridine (m1Ψ) has been demonstrated to reduce immunostimulation and increase protein expression.
“the Zika studies used mRNA harboring 1-methylpseudouridine (m1Ψ) which has been demonstrated to reduce immunostimulation and increase protein expression.26”
From Unmodified mRNA in LNPs constitutes a competitive technology for prophylactic vaccines (2017) · cites this paper as [26]
Nucleoside-modified mRNA can reduce the activation of TLRs, retinoic acid-inducible gene I (RIG-I), protein kinase R (PKR), and 2′-5′-oligoadenylate synthetase (OAS); additionally, nucleoside modification increases translation activity and resistance against RNase L-mediated degradation.
“Nucleoside-modified mRNA can reduce the activation of TLRs, retinoic acid-inducible gene I (RIG-I), protein kinase R (PKR), and 2′-5′-oligoadenylate synthetase (OAS). Additionally, nucleoside modification increases translation activity and resistance against RNase L-mediated degradation.54,81,173–176”
From Advances in COVID-19 mRNA vaccine development (2022) · cites this paper as [173]
Incorporating naturally occurring modified nucleotides into in vitro transcribed mRNA drastically reduces its innate immune activity.
“by incorporating naturally occurring modified nucleotides into the IVT mRNA, its innate immune activity could be drastically reduced [6,7]”
From The dawn of mRNA vaccines: the COVID-19 case (2021) · cites this paper as [6]
Modified and purified in vitro transcribed mRNA enables much higher protein expression and has a more favorable safety profile, drastically reducing production of pro-inflammatory type I interferons.
“modified and purified IVT mRNA enables much higher protein expression and has a more favorable safety profile, as it drastically reduces the production of pro-inflammatory type I IFNs [6]”
From The dawn of mRNA vaccines: the COVID-19 case (2021) · cites this paper as [6]
Cites
N6-methyladenosine-dependent regulation of messenger RNA stability
Wang, X., Lu, Z., Gomez, A., Hon, G. C., Yue, Y., Han, D., Fu, Y., Parisien, M., Dai, Q., Jia, G., et al. (2014) · Nature · doi:10.1038/nature12730 · Cited by 4,558 · see citing works
Direct Gene Transfer into Mouse Muscle in Vivo
Wolff, J. A., Malone, R. W., Williams, P., Chong, W., Acsadi, G., Jani, A., & Felgner, P. L. (1990) · Science · doi:10.1126/science.1690918 · Cited by 4,173 · see citing works
N6-methyladenosine Modulates Messenger RNA Translation Efficiency
Wang, X., Zhao, B. S., Roundtree, I. A., Lu, Z., Han, D., Ma, H., Weng, X., Chen, K., Shi, H., & He, C. (2015) · Cell · doi:10.1016/j.cell.2015.05.014 · Cited by 3,483 · see citing works
Karikó, K., Buckstein, M., Ni, H., & Weissman, D. (2005) · Immunity · doi:10.1016/j.immuni.2005.06.008 · Cited by 2,728 · see citing works
Warren, L., Manos, P. D., Ahfeldt, T., Loh, Y.-H., Li, H., Lau, F., Ebina, W., Mandal, P. K., Smith, Z. D., Meissner, A., et al. (2010) · Cell Stem Cell · doi:10.1016/j.stem.2010.08.012 · Cited by 2,662 · see citing works
N6-methyladenosine-dependent RNA structural switches regulate RNA–protein interactions
Liu, N., Dai, Q., Zheng, G., He, C., Parisien, M., & Pan, T. (2015) · Nature · doi:10.1038/nature14234 · Cited by 1,988 · see citing works
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
m 6 A mRNA methylation facilitates resolution of naïve pluripotency toward differentiation
Geula, S., Moshitch-Moshkovitz, S., Dominissini, D., Mansour, A. A., Kol, N., Salmon‐Divon, M., Hershkovitz, V., Peer, E., Mor, N., Manor, Y. S., et al. (2015) · Science · doi:10.1126/science.1261417 · Cited by 1,560 · see citing works
N6-methyladenosine marks primary microRNAs for processing
Alarcón, C. R., Lee, H., Goodarzi, H., Halberg, N., & Tavazoie, S. F. (2015) · Nature · doi:10.1038/nature14281 · Cited by 1,394 · see citing works
Pardi, N., Tuyishime, S., Muramatsu, H., Kariko, K., Mui, B. L., Tam, Y. K., Madden, T. D., Hope, M. J., & Weissman, D. (2015) · Journal of Controlled Release · doi:10.1016/j.jconrel.2015.08.007 · Cited by 1,014 · see citing works
Pseudouridine profiling reveals regulated mRNA pseudouridylation in yeast and human cells
Carlile, T. M., Rojas-Durán, M. F., Zinshteyn, B., Shin, H., Bartoli, K. M., & Gilbert, W. V. (2014) · Nature · doi:10.1038/nature13802 · Cited by 1,004 · see citing works
MODOMICS: a database of RNA modification pathways—2013 update
Machnicka, M. A., Milanowska, K., Oglou, O. O., Purta, E., Kurkowska, M., Olchowik, A., Januszewski, W., Kalinowski, S., Dunin-Horkawicz, S., Rother, K. M., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1007 · Cited by 1,003 · see citing works
Transcriptome-wide Mapping Reveals Widespread Dynamic-Regulated Pseudouridylation of ncRNA and mRNA
Schwartz, S., Bernstein, D. A., Mumbach, M. R., Jovanović, M., Herbst, R. H., León-Ricardo, B. X., Engreitz, J., Guttman, M., Satija, R., Lander, E. S., et al. (2014) · Cell · doi:10.1016/j.cell.2014.08.028 · Cited by 1,001 · see citing works
The RNA modification database, RNAMDB: 2011 update
Cantara, W. A., Crain, P. F., Rozenski, J., McCloskey, J. A., Harris, K. A., Zhang, X., Vendeix, F. A. P., Fabris, D., & Agris, P. F. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1028 · Cited by 822 · see citing works
Structural imprints in vivo decode RNA regulatory mechanisms
Spitale, R. C., Flynn, R. A., Zhang, Q. C., Crisalli, P., Lee, B., Jung, J., Kuchelmeister, H. Y., Batista, P. J., Torre, E. A., Kool, E. T., et al. (2015) · Nature · doi:10.1038/nature14263 · Cited by 745 · see citing works
Expression of therapeutic proteins after delivery of chemically modified mRNA in mice
Kormann, M. S. D., Hasenpusch, G., Aneja, M. K., Nica, G., Flemmer, A. W., Herber-Jonat, S., Huppmann, M., Mays, L. E., Illenyi, M., Schams, A., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1733 · Cited by 733 · 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
Zangi, L., Lui, K. O., von Gise, A., Ma, Q., Ebina, W., Ptaszek, L. M., Später, D., Xu, H., Tabebordbar, M., Gorbatov, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2682 · Cited by 646 · see citing works
McKenzie, R., Fried, M. W., Sallie, R., Conjeevaram, H., Di Bisceglie, A. M., Park, Y., Savarese, B., Kleiner, D., Tsokos, M., Luciano, C., et al. (1995) · New England Journal of Medicine · doi:10.1056/nejm199510263331702 · Cited by 616 · see citing works
Converting nonsense codons into sense codons by targeted pseudouridylation
Karijolich, J. J., & Yu, Y. (2011) · Nature · doi:10.1038/nature10165 · Cited by 391 · see citing works
Anderson, B. R., Muramatsu, H., Jha, B. K., Silverman, R. H., Weissman, D., & Kariko, K. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr586 · Cited by 356 · see citing works
RNA pseudouridylation: new insights into an old modification
Ge, J., & Yu, Y. (2013) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2013.01.002 · Cited by 276 · see citing works
Mammalian synthetic circuits with RNA binding proteins for RNA-only delivery
Wróblewska, L., Kitada, T., Endo, K., Siciliano, V., Stillo, B., Saito, H., & Weiss, R. (2015) · Nature Biotechnology · doi:10.1038/nbt.3301 · Cited by 224 · see citing works
Self-citationEfficient Detection and Purification of Cell Populations Using Synthetic MicroRNA Switches
Miki, K., Endo, K., Takahashi, S., Funakoshi, S., Takei, I., Katayama, S., Toyoda, T., Kotaka, M., Takaki, T., Umeda, M., et al. (2015) · Cell stem cell · doi:10.1016/j.stem.2015.04.005 · Cited by 221 · see citing works
Levy, O., Zhao, W., Mortensen, L. J., LeBlanc, S., Tsang, K., Fu, M., Phillips, J. A., Sagar, V., Anandakumaran, P. N., Ngai, J., et al. (2013) · Blood · doi:10.1182/blood-2013-04-495119 · Cited by 212 · see citing works
Unusual base pairing during the decoding of a stop codon by the ribosome
Fernández, I. S., Ng, C. L., Kelley, A. C., Wu, G., Yu, Y., & Ramakrishnan, V. (2013) · Nature · doi:10.1038/nature12302 · Cited by 170 · see citing works
In vivo genome editing using nuclease-encoding mRNA corrects SP-B deficiency
Mahiny, A. J., Dewerth, A., Mays, L. E., Alkhaled, M., Mothes, B., Malaeksefat, E., Loretz, B., Rottenberger, J., Brosch, D. M., Reautschnig, P., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3241 · Cited by 139 · cited 1× · see citing works
“[13] which used m5C/s2Umodified mRNA to express zinc finger nucleases in mice for genome editing.”
MethodNallagatla, S. R., & Bevilacqua, P. C. (2008) · RNA · doi:10.1261/rna.1007408 · Cited by 137 · see citing works
Antiviral Agents Acting as DNA or RNA Chain Terminators
Clercq, E. D., & Neyts, J. H. (2008) · Handbook of experimental pharmacology · doi:10.1007/978-3-540-79086-0_3 · Cited by 128 · see citing works
Modified Foxp3 mRNA protects against asthma through an IL-10-dependent mechanism
Mays, L. E., Ammon-Treiber, S., Mothes, B., Alkhaled, M., Rottenberger, J., Müller-Hermelink, E. S., Grimm, M., Mezger, M., Beer-Hammer, S., von Stebut, E., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci65351 · Cited by 113 · see citing works
Treatment of neurological disorders by introducing mRNA in vivo using polyplex nanomicelles
Baba, M., Itaka, K., Kondo, K., Yamasoba, T., & Kataoka, K. (2015) · Journal of Controlled Release · doi:10.1016/j.jconrel.2015.01.017 · Cited by 109 · see citing works
Screening of mRNA Chemical Modification to Maximize Protein Expression with Reduced Immunogenicity
Uchida, S., Kataoka, K., & Itaka, K. (2015) · Pharmaceutics · doi:10.3390/pharmaceutics7030137 · Cited by 88 · see citing works
Brand, R. C., Klootwijk, J., Planta, R. J., & Maden, B. E. H. (1978) · Biochemical Journal · doi:10.1042/bj1690071 · Cited by 65 · see citing works
Andries, O., Filette, M. D., Smedt, S. C. D., Demeester, J., Poucke, M. V., Peelman, L. J., & Sanders, N. N. (2013) · Journal of Controlled Release · doi:10.1016/j.jconrel.2013.01.033 · Cited by 54 · see citing works
Self-citationSynthetic biology devices and circuits for RNA-based ‘smart vaccines’: a propositional review
Andries, O., Kitada, T., Bodner, K., Sanders, N. N., & Weiss, R. (2015) · Expert Review of Vaccines · doi:10.1586/14760584.2015.997714 · Cited by 50 · see citing works
Self-citationComparison of the Gene Transfer Efficiency of mRNA/GL67 and pDNA/GL67 Complexes in Respiratory Cells
Andries, O., Filette, M. D., Rejman, J., Smedt, S. C. D., Demeester, J., Poucke, M. V., Peelman, L. J., Peleman, C., Lahoutte, T., & Sanders, N. N. (2012) · Molecular Pharmaceutics · doi:10.1021/mp200604h · Cited by 30 · see citing works
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mRNA vaccines — a new era in vaccinology
Pardi, N., Hogan, M. J., Porter, F. W., & Weissman, D. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.243 · Cited by 4,667 · see citing works
CAR T cells produced in vivo to treat cardiac injury
Rurik, J. G., Tombácz, I., Yadegari, A., Méndez Fernández, P. O., Shewale, S. V., Li, L., Kimura, T., Soliman, O. Y., Papp, T. E., Tam, Y. K., et al. (2022) · Science · doi:10.1126/science.abm0594 · Cited by 1,400 · see citing works
Zika virus protection by a single low-dose nucleoside-modified mRNA vaccination
Pardi, N., Hogan, M. J., Pelc, R. S., Muramatsu, H., Andersen, H., DeMaso, C. R., Dowd, K. A., Sutherland, L. L., Scearce, R. M., Parks, R., et al. (2017) · Nature · doi:10.1038/nature21428 · Cited by 884 · 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
Advances in the delivery of RNA therapeutics: from concept to clinical reality
Kaczmarek, J. C., Kowalski, P. S., & Anderson, D. G. (2017) · Genome Medicine · doi:10.1186/s13073-017-0450-0 · Cited by 656 · see citing works
Advances in COVID-19 mRNA vaccine development
Fang, E., Liu, X., Li, M., Zhang, Z., Song, L., Zhu, B., Wu, X., Liu, J., Zhao, D., & Li, Y. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00950-y · Cited by 601 · see citing works
Nanomaterial Delivery Systems for mRNA Vaccines
Buschmann, M. D., Carrasco, M. J., Alishetty, S., Paige, M., Alameh, M. G., & Weissman, D. (2021) · Vaccines · doi:10.3390/vaccines9010065 · Cited by 582 · see citing works
Pardi, N., Hogan, M. J., Naradikian, M. S., Parkhouse, K., Cain, D. W., Jones, L., Moody, M. A., Verkerke, H. P., Myles, A., Willis, E., et al. (2018) · Journal of Experimental Medicine · doi:10.1084/jem.20171450 · Cited by 530 · see citing works
New Vaccine Technologies to Combat Outbreak Situations
Rauch, S., Jasny, E., Schmidt, K. E., & Petsch, B. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01963 · Cited by 579 · see citing works
mRNA as a Transformative Technology for Vaccine Development to Control Infectious Diseases
Maruggi, G., Zhang, C., Li, J., Ulmer, J. B., & Yu, D. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2019.01.020 · Cited by 507 · see citing works
Kim, J., Eygeris, Y., Gupta, M., & Sahay, G. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.12.014 · Cited by 514 · see citing works
The dawn of mRNA vaccines: the COVID-19 case
Verbeke, R., Lentacker, I., De Smedt, S. C., & Dewitte, H. (2021) · Journal of Controlled Release · doi:10.1016/j.jconrel.2021.03.043 · Cited by 504 · see citing works
The promise of mRNA vaccines: a biotech and industrial perspective
Jackson, N. A. C., Kester, K. E., Casimiro, D., Gurunathan, S., & DeRosa, F. (2020) · npj Vaccines · doi:10.1038/s41541-020-0159-8 · Cited by 498 · see citing works
“[24] [25] [26] It has been demonstrated that successful protein production, minimal undesired inflammatory responses, and systemic adaptive immune responses could be achieved preclinically by using unmodified mRNA 27 through a combination of optimizing the coding sequence and removal of any unwanted inflammatory impur…”
BackgroundSelf-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
RNA Circularization Diminishes Immunogenicity and Can Extend Translation Duration In Vivo
Wesselhoeft, R. A., Kowalski, P. S., Parker-Hale, F. C., Huang, Y., Bisaria, N., & Anderson, D. G. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.02.015 · Cited by 482 · see citing works
Modifications in an Emergency: The Role of N1-Methylpseudouridine in COVID-19 Vaccines
Nance, K. D., & Meier, J. L. (2021) · ACS Central Science · doi:10.1021/acscentsci.1c00197 · Cited by 466 · see citing works
A Comprehensive Review of mRNA Vaccines
Gote, V., Bolla, P. K., Kommineni, N., Butreddy, A., Nukala, P. K., Palakurthi, S. S., & Khan, W. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032700 · Cited by 457 · see citing works
The challenge and prospect of mRNA therapeutics landscape
Weng, Y., Li, C., Yang, T., Hu, B., Zhang, M., Guo, S., Xiao, H., Liang, X.-J., & Huang, Y. (2020) · Biotechnology Advances · doi:10.1016/j.biotechadv.2020.107534 · Cited by 417 · see citing works
Svitkin, Y. V., Cheng, Y. M., Chakraborty, T., Presnyak, V., John, M., & Sonenberg, N. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx135 · Cited by 278 · see citing works
Principles for designing an optimal mRNA lipid nanoparticle vaccine
Kon, E., Elia, U., & Peer, D. (2022) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2021.09.016 · Cited by 269 · see citing works
Vaidyanathan, S., Azizian, K. T., Haque, A. K. M. A., Henderson, J. M., Hendel, A., Shore, S., Antony, J. S., Hogrefe, R. I., Kormann, M. S. D., Porteus, M. H., et al. (2018) · Molecular Therapy Nucleic Acids · doi:10.1016/j.omtn.2018.06.010 · Cited by 262 · see citing works
Next‐Generation Vaccines: Nanoparticle‐Mediated DNA and mRNA Delivery
Ho, W., Gao, M., Li, F., Li, Z., Zhang, X., & Xu, X. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202001812 · Cited by 261 · see citing works
Unmodified mRNA in LNPs constitutes a competitive technology for prophylactic vaccines
Lutz, J., Lazzaro, S., Habbeddine, M., Schmidt, K. E., Baumhof, P., Mui, B. L., Tam, Y. K., Madden, T. D., Hope, M. J., Heidenreich, R., et al. (2017) · npj Vaccines · doi:10.1038/s41541-017-0032-6 · Cited by 257 · see citing works
“To overcome that problem, the Zika studies used mRNA harboring 1methylpseudouridine (m1Ψ) which has been demonstrated to reduce immunostimulation and increase protein expression.(26) However, such an unnatural modification may raise safety concerns and increase regulatory hurdles.”
BackgroundAn RNA toolbox for cancer immunotherapy
Pastor, F., Berraondo, P., Etxeberria, I., Frederick, J., Sahin, U., Gilboa, E., & Melero, I. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.132 · Cited by 229 · see citing works
mRNA Delivery for Therapeutic Anti-HER2 Antibody Expression In Vivo
Rybakova, Y., Kowalski, P. S., Huang, Y., Gonzalez, J. T., Heartlein, M. W., DeRosa, F., Delcassian, D., & Anderson, D. G. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2019.05.012 · Cited by 218 · see citing works
Kwon, H., Kim, M., Seo, Y., Moon, Y. S., Lee, H. J., Lee, K., & Lee, H. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2017.11.034 · Cited by 208 · see citing works
How mRNA therapeutics are entering the monoclonal antibody field
Van Hoecke, L., & Roose, K. (2019) · Journal of Translational Medicine · doi:10.1186/s12967-019-1804-8 · Cited by 205 · see citing works
Sedic, M., Senn, J. J., Lynn, A., Laska, M., Smith, M., Platz, S. J., Bolen, J., Hoge, S., Bulychev, A., Jacquinet, E., et al. (2018) · Veterinary Pathology · doi:10.1177/0300985817738095 · Cited by 195 · see citing works
mRNA-Based Protein Replacement Therapy for the Heart
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MicroRNAs Enable mRNA Therapeutics to Selectively Program Cancer Cells to Self-Destruct
Jain, R., Frederick, J. P., Huang, E. Y., Burke, K. E., Mauger, D. M., Andrianova, E. A., Farlow, S. J., Siddiqui, S., Pimentel, J., Cheung-Ong, K., et al. (2018) · Nucleic Acid Therapeutics · doi:10.1089/nat.2018.0734 · Cited by 164 · see citing works
Minnaert, A.-K., Vanluchene, H., Verbeke, R., Lentacker, I., De Smedt, S. C., Raemdonck, K., Sanders, N. N., & Remaut, K. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.113900 · Cited by 157 · see citing works
Self-citationVan der Jeught, K., De Koker, S., Bialkowski, L., Heirman, C., Tjok Joe, P., Perche, F., Maenhout, S., Bevers, S., Broos, K., Deswarte, K., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b00966 · Cited by 139 · see citing works
Nanomedicine-Based Approaches for mRNA Delivery
Uchida, S., Perche, F., Pichon, C., & Cabral, H. (2020) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.0c00618 · Cited by 139 · see citing works
Verbeke, R., Lentacker, I., Wayteck, L., Breckpot, K., Van Bockstal, M., Descamps, B., Vanhove, C., De Smedt, S. C., & Dewitte, H. (2017) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.09.041 · Cited by 132 · see citing works
Biomedical applications of mRNA nanomedicine
Xiong, Q., Lee, G. Y., Ding, J., Li, W., & Shi, J. (2018) · Nano Research · doi:10.1007/s12274-018-2146-1 · Cited by 125 · see citing works
Non-immunotherapy application of LNP-mRNA: Maximizing efficacy and safety
Vlatkovic, I. (2021) · Biomedicines · doi:10.3390/biomedicines9050530 · Cited by 112 · see citing works
Recent Developments in mRNA-Based Protein Supplementation Therapy to Target Lung Diseases
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Synthetic modified messenger RNA for therapeutic applications
Gao, M., Zhang, Q., Feng, X.-H., & Liu, J. (2021) · Acta Biomaterialia · doi:10.1016/j.actbio.2021.06.020 · Cited by 89 · see citing works
Melo, M., Porter, E., Zhang, Y., Silva, M., Li, N., Dobosh, B., Liguori, A., Skog, P., Landais, E., Menis, S., et al. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2019.08.007 · Cited by 88 · see citing works
Self-citationHuysmans, H., Zhong, Z., De Temmerman, J., Mui, B. L., Tam, Y. K., Mc Cafferty, S., Gitsels, A., Vanrompay, D., & Sanders, N. N. (2019) · Molecular Therapy - Nucleic Acids · doi:10.1016/j.omtn.2019.08.001 · Cited by 83 · see citing works
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Haque, A. K. M. A., Dewerth, A., Antony, J. S., Riethmüller, J., Schweizer, G. R., Weinmann, P., Latifi, N., Yasar, H., Pedemonte, N., Sondo, E., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-34960-0 · Cited by 80 · see citing works
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Poveda, C., Biter, A. B., Bottazzi, M. E., & Strych, U. (2019) · Vaccines · doi:10.3390/vaccines7040131 · Cited by 54 · see citing works
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Kairuz, D., Samudh, N., Ely, A., Arbuthnot, P., & Bloom, K. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1018961 · Cited by 25 · see citing works
mRNA treatment produces sustained expression of enzymatically active human ADAMTS13 in mice
Liu-Chen, S., Connolly, B., Cheng, L., Subramanian, R. R., & Han, Z. (2018) · Scientific Reports · doi:10.1038/s41598-018-26298-4 · Cited by 20 · see citing works
- Authors
- Andries, O., Mc Cafferty, S., De Smedt, S. C., Weiss, R., Sanders, N. N., & Kitada, T.
- Affiliations
- Ghent University (BE)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Sanders, Niek N.
- Kitada, Tasuku
- Venue
- Journal of Controlled Release
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 217
- Pages
- 337-344
- ISSN
- 0168-3659 (ISSN-L)
- OpenAlex
- W1215958058
- Cited by
- 701
- References
- 36
- Citations by year
- 2026: 96 · 2025: 123 · 2024: 123 · 2023: 107 · 2022: 91 · 2021: 62 · 2020: 29 · 2019: 24 · 2018: 24 · 2017: 14 · 2016: 6 · 2015: 2
- FWCI
- 6.65
- Type
- journal article
- Language
- en
- Open access
- green
- biblio.ugent.be
- Licence
- Locations
- Journal of Controlled Release (publishedVersion)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- Funders
- Defense Advanced Research Projects Agency
- 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 modifications and cancer
- Keywords
- N1-methylpseudouridine, pseudouridine, 5-methylcytidine, mRNA modification, mRNA therapeutics, protein expression, immunogenicity, TLR3, endosomal escape, innate immune signaling, reporter gene expression, mRNA stability
- MeSH terms
- Animals, Cell Line, Cell Survival, Cytidine, Humans, Mice, Inbred BALB C, Pseudouridine, RNA, Messenger, Transfection, Cell Line, Tumor, Luciferases, Firefly
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