Evidence map›Paper›PMID 39990951›Full record

ArticleACS bio & med chem Au2025

A Reverse Transcription Nucleic-Acid-Based Barcoding System for

Kevin C Wang, Tiana L Young, Jingan Chen, Shannon N Tsai, Yue Xu, Andrew J Varley, Nicholas C Solek, Fanglin Gong, Rick X Z Lu, Basil P Hubbard and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS bio & med chem Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Kevin C WangLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M5S 3M2, Canada.
Tiana L YoungLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M5S 3M2, Canada.ORCID https://orcid.org/0000-0001-7527-811X
Jingan ChenInstitute of Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada.
Shannon N TsaiLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M5S 3M2, Canada.
Yue XuLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M5S 3M2, Canada.
Andrew J VarleyLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M5S 3M2, Canada.
Nicholas C SolekInstitute of Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada.
Fanglin GongInstitute of Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada.
Rick X Z LuLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M5S 3M2, Canada.
Basil P HubbardLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M5S 3M2, Canada.
Bowen LiLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M5S 3M2, Canada.ORCID https://orcid.org/0000-0001-5006-9143

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) are the most extensively validated clinical delivery vehicles for mRNA therapeutics, exemplified by their widespread use in the mRNA COVID-19 vaccines. The pace of lipid nanoparticle (LNP) development for mRNA therapeutics is restricted by the limitations of existing methods for large-scale LNP screening. To address this challenge, we developed Quantitative Analysis of Reverse Transcribed Barcodes (QuART), a novel nucleic-acid-based system for measuring LNP functional delivery in vivo. QuART uses a bacterial retron reverse transcription system to couple functional mRNA delivery into the cytoplasm with a cDNA barcode readout. Our results demonstrate that QuART can be used to identify functional mRNA delivery both in vitro in cell culture and in vivo in mice. Multiplexing of QuART could enable high-throughput screening of LNP formulations, facilitating the rapid discovery of promising LNP candidates for mRNA therapeutics.

Identifiers

PMID39990951
PMCPMC11843327

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.