Evidence map›Paper›PMID 40545892›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2025

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 and 4 more

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. On-Chip De Novo Production of mRNA Vaccine in Lipid Nanoparticles.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Shai Zilberzwige-TalThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID 0000-0001-9223-5082
Aviad LevinYusuf Hamied Department of Chemistry, Centre for Misfolding Diseases, University of Cambridge, Cambridge, CB2 1EW, UK.ORCID 0000-0002-3949-1033
Assaf EzraThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.
Uri EliaThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.
Gal Finkelstein-ZutaThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID 0009-0002-5708-1692
Topaz KreiserThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID 0000-0001-5037-7867
Lihi GershonThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID 0000-0002-5119-2917
Meir GoldsmithThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID 0000-0002-2986-8546
Edo KonThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID 0000-0002-3459-7576
Yoav NavonThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID 0009-0004-1624-3960
Ofer CohenDepartment of Biochemistry and Molecular Genetics, Israel Institute for Biological Research, Ness-Ziona, 76100, Israel.ORCID 0000-0002-4374-9981
Tuomas Pj KnowlesYusuf Hamied Department of Chemistry, Centre for Misfolding Diseases, University of Cambridge, Cambridge, CB2 1EW, UK.ORCID 0000-0002-7879-0140
Dan PeerThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID 0000-0001-8238-0673
Ehud GazitThe Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID 0000-0001-5764-1720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Lab-On-A-Chip DevicesLipidsmRNA VaccinesNanoparticlesRNA, MessengerAnimalsCOVID-19HumansLiposomesMiceLipid NanoparticlesLipidsLiposomesmRNA VaccinesRNA, MessengerLNPsmicrofluidicsmRNAon‐site

Identifiers

PMID40545892
PMCPMC12366276

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.