journal article·2025-08Open access

On‐Chip De Novo Production of mRNA Vaccine in Lipid Nanoparticles

Shai Zilberzwige‐Tal, Aviad Levin, Assaf Ezra, Uri Elia, Gal Finkelstein‐Zuta, Topaz Kreiser, Lihi Gershon, Meir Goldsmith, Edo Kon, Yoav Navon, Ofer Cohen, Tuomas PJ Knowles, Dan Peer, Ehud Gazit

Small· Volume 21· Issue 32

Abstract

Abstract RNA‐based therapeutics have revolutionized precision medicine due to their unprecedented potency, specificity, and adaptability. However, the inherent limited stability of RNA, including mRNA used in vaccines, is a major obstacle to the full realization of their potential. This instability, coupled with the centralized nature of vaccine production, currently limits the generation of RNA therapeutics at the point of care, which will otherwise fully harness the potential of these agents. Here, a microfluidic platform is presented for on‐demand, personalized synthesis of modified mRNA stabilized by lipid nanoparticles. The design includes trapped biotinylated DNA, tagged T7 RNA polymerase, and a Tesla mixer, allowing the on‐chip synthesis, purification, and encapsulation of mRNA in uniform lipid nanoparticles (LNPs), all conducted seamlessly on the same microfluidic device. This on‐chip microfluidic synthesis approach is found to match standardized mRNA production yields, yet surpasses typical purification methods. Furthermore, as a proof‐of‐concept, the versatility and efficacy of the platform are demonstrated by generating diverse RNA sequences and structures, exhibiting functionality in human cell lines and mouse models. Moreover, an active SARS‐CoV‐2 vaccine is successfully engineered, highlighting the platform's potential for personalized vaccination strategies and offering a promising avenue for high throughput, decentralized vaccine delivery, reduced cold chain dependence, and even advancing current personalized medicine approaches through custom RNA therapeutics.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: RNA Interference and Gene Delivery · Advanced biosensing and bioanalysis techniques · Immunotherapy and Immune Responses

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

The Shmunis School of Biomedicine and Cancer Research Tel Aviv University Tel Aviv 6997801 Israel

Yusuf Hamied Department of Chemistry Centre for Misfolding Diseases University of Cambridge Cambridge CB2 1EW UK

Department of Biochemistry and Molecular Genetics Israel Institute for Biological Research Ness‐Ziona 76100 Israel

Department of Materials Science and Engineering Tel Aviv University Tel Aviv 6997801 Israel

The Sagol School of Neuroscience Tel Aviv University Tel Aviv 6997801 Israel

References (57)

Show source-provided references
1. 10.1038/d41573-020-00078-010.1038/d41573-020-00078-0 ↗
2. 10.1016/j.tips.2020.08.00410.1016/j.tips.2020.08.004 ↗
3. 10.1016/j.jconrel.2024.05.03610.1016/j.jconrel.2024.05.036 ↗
4. 10.1038/s41467-024-45422-910.1038/s41467-024-45422-9 ↗
5. 10.1073/pnas.231474712110.1073/pnas.2314747121 ↗
6. 10.3390/vaccines901000310.3390/vaccines9010003 ↗
7. 10.1016/j.vaccine.2021.03.03810.1016/j.vaccine.2021.03.038 ↗
8. 10.1146/annurev-bioeng-110220-03172210.1146/annurev-bioeng-110220-031722 ↗
9. 10.1038/s41562-021-01122-810.1038/s41562-021-01122-8 ↗
10. 10.1038/nrd.2017.24310.1038/nrd.2017.243 ↗
11. 10.1038/d41586-021-00727-310.1038/d41586-021-00727-3 ↗
12. 10.2471/BLT.21.28751610.2471/BLT.21.287516 ↗
13. 10.1038/s43018-023-00627-710.1038/s43018-023-00627-7 ↗
14. 10.1016/j.ymthe.2022.02.00110.1016/j.ymthe.2022.02.001 ↗
15. 10.1038/s41392-023-01561-x10.1038/s41392-023-01561-x ↗
16. 10.1038/s41421-022-00517-910.1038/s41421-022-00517-9 ↗
17. 10.1016/j.copbio.2021.09.01610.1016/j.copbio.2021.09.016 ↗
18. 10.1038/s41541-021-00424-210.1038/s41541-021-00424-2 ↗
19. 10.1007/s11269-016-1487-310.1007/s11269-016-1487-3 ↗
20. 10.1136/bmjgh-2022-00847710.1136/bmjgh-2022-008477 ↗
21. Baker D. · 2017 · 1
22. 10.1038/s41587-021-00912-910.1038/s41587-021-00912-9 ↗
23. 10.24926/iip.v13i4.504910.24926/iip.v13i4.5049 ↗
24. 10.1002/smll.20190178010.1002/smll.201901780 ↗
25. 10.1016/j.tibtech.2020.12.00210.1016/j.tibtech.2020.12.002 ↗
26. 10.1039/C4CP05933F10.1039/C4CP05933F ↗
27. 10.1038/nnano.2012.6510.1038/nnano.2012.65 ↗
28. 10.1126/science.125555010.1126/science.1255550 ↗
29. 10.1021/acs.analchem.8b0488510.1021/acs.analchem.8b04885 ↗
30. 10.2217/nnm-2023-034510.2217/nnm-2023-0345 ↗
31. 10.1038/s41392-023-01579-110.1038/s41392-023-01579-1 ↗
32. 10.1021/acs.molpharmaceut.2c0001010.1021/acs.molpharmaceut.2c00010 ↗
33. 10.1261/rna.526480410.1261/rna.5264804 ↗
34. 10.1261/rna.34260710.1261/rna.342607 ↗
35. 10.1039/C8LC00028J10.1039/C8LC00028J ↗
36. 10.1073/pnas.120936710910.1073/pnas.1209367109 ↗
37. 10.1007/s11095-004-1873-z10.1007/s11095-004-1873-z ↗
38. 10.1016/j.jconrel.2022.02.01710.1016/j.jconrel.2022.02.017 ↗
39. 10.1039/D3LC00860F10.1039/D3LC00860F ↗
40. 10.1016/j.ymthe.2022.02.01610.1016/j.ymthe.2022.02.016 ↗
41. 10.3390/pharmaceutics1202010210.3390/pharmaceutics12020102 ↗
42. 10.3390/ijms1901004410.3390/ijms19010044 ↗
43. Germer K. · Int. J. Biochem. Mol. Biol. · 2013 · 4 · 27
44. 10.1038/mt.2008.20010.1038/mt.2008.200 ↗
45. 10.1093/nar/gkw55110.1093/nar/gkw551 ↗
46. 10.3389/fcell.2021.78942710.3389/fcell.2021.789427 ↗
47. 10.1002/anbr.20210010910.1002/anbr.202100109 ↗
48. 10.1016/j.cej.2024.14937710.1016/j.cej.2024.149377 ↗
49. 10.1016/j.cep.2025.11018110.1016/j.cep.2025.110181 ↗
50. 10.1021/acs.nanolett.1c0135310.1021/acs.nanolett.1c01353 ↗
51. 10.1021/nn901433u10.1021/nn901433u ↗
52. 10.1016/j.jconrel.2021.05.02110.1016/j.jconrel.2021.05.021 ↗
53. 10.1038/s41598-022-12100-z10.1038/s41598-022-12100-z ↗
54. 10.1038/s42003-021-02441-210.1038/s42003-021-02441-2 ↗
55. 10.1021/acs.nanolett.1c0128410.1021/acs.nanolett.1c01284 ↗
56. 10.1021/acsnano.0c1018010.1021/acsnano.0c10180 ↗
57. 10.1038/nmeth.131810.1038/nmeth.1318 ↗