Evidence map›Paper›PMID 41836763›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Altering VP1 and VP2 expression in trans affects the transduction efficiency of AAV9.

Maxim K Efremov, Alima Galieva, Andrew N Brovin, Natalia V Mesonzhnik, Mikhail B Afonin, Elena N Subcheva, Alexander Karabelsky

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Maxim K EfremovCenter for Translational Medicine, Gene Therapy Department, Sirius University of Science and Technology, Sirius, Russia.
Alima GalievaCenter for Translational Medicine, Gene Therapy Department, Sirius University of Science and Technology, Sirius, Russia.
Andrew N BrovinCenter for Translational Medicine, Gene Therapy Department, Sirius University of Science and Technology, Sirius, Russia.
Natalia V MesonzhnikResource Centre of Analytical Methods, Laboratory Complex, Sirius University of Science and Technology, Sirius, Russia.
Mikhail B AfoninResource Centre of Analytical Methods, Laboratory Complex, Sirius University of Science and Technology, Sirius, Russia.
Elena N SubchevaCenter for Translational Medicine, Gene Therapy Department, Sirius University of Science and Technology, Sirius, Russia.
Alexander KarabelskyCenter for Translational Medicine, Gene Therapy Department, Sirius University of Science and Technology, Sirius, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, adeno-associated virus (AAV) is one of the most reliable carrier for gene delivery in both proliferating and non-proliferating cells. Stable and long-lasting transgene expression has made this viral vector a key platform for the development of advanced therapy. Nevertheless, the widespread clinical use of AAV-based drugs remains limited due to their immunogenicity, low capsid capacity, and restricted tissue tropism. Tissue tropism depends largely on the the transduction efficiency of AAV capsids. In this study, we modified the standard three-plasmid transfection protocol to provide independent expression of VP1 or VP2 proteins from separate plasmids. Adjusting the ratio of these plasmids in the transfection mixture enabled alteration of the stoichiometric composition of the capsids, as SDS-PAGE and mass spectrometry confirmed. Increasing the amount of VP1 or VP2 in the capsid composition enhanced transduction efficiency, as demonstrated

Indexed as

aavadeno-associated viruscapsid engineeringcapsid stoichiometrygene therapytransduction efficiency

Identifiers

PMID41836763
PMCPMC12979495

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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.