Evidence map›Paper›PMID 42438379›Full record

ArticleAnalytical chemistry2026

Salt-Mediated Electro-Deformation of AAV Capsids Revealed by Nanopipette-Based Single-Particle Analysis.

Santosh Khatri, Navod Thyashan, Janeesha Manawasinghe, Merve Emecen Sanli, Steven J Gray, Min Jun Kim

Abstract read
In one paragraph

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

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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

6 authors.

Santosh KhatriDepartment of Mechanical Engineering, Southern Methodist University, Dallas, Texas75205, United States.
Navod ThyashanDepartment of Mechanical Engineering, Southern Methodist University, Dallas, Texas75205, United States.
Janeesha ManawasingheDepartment of Mechanical Engineering, Southern Methodist University, Dallas, Texas75205, United States.
Merve Emecen SanliDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas75390, United States.
Steven J GrayDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas75390, United States.
Min Jun KimDepartment of Mechanical Engineering, Southern Methodist University, Dallas, Texas75205, United States.ORCID 0000-0002-0819-1644

Funding

Multimodal Label-Free Nanosensor for Single Virus Characterization and Content AnalysisR01GM149949 · NIGMS · SOUTHERN METHODIST UNIVERSITY · PI MinJun Kim · 2023 to 2026
$1.7M
NIGMS NIH HHS 1R01GM149949-01NIGMS NIH HHS R01 GM149949
6 · The paper itself

Abstract

Adeno-associated viruses (AAVs) are leading gene therapy vectors; however, maintaining their structural integrity and cargo stability remains a major challenge for consistent therapeutic performance. Although solid-state nanopores can discriminate AAVempty, AAVssDNA, and AAVscDNA capsids based on genomic content, the ionic regulation of their mechanical deformability remains poorly understood. In this study, we employ quartz nanopipettes, a mechanically robust subset of solid-state nanopores, to directly probe bias-induced electro-deformation of individual AAV9 particles in two monovalent electrolytes, LiCl and KCl. In LiCl, AAV9 capsids exhibited higher cargo-dependent deformability and approximately 3-fold slower translocation kinetics than in KCl, reflecting extended residence times and increased structural compliance. However, only small differences in deformability were observed for genome-containing AAVs (AAVssDNA and AAVscDNA) across both electrolytes. This likely reflects intrinsic heterogeneity in preparation, with coexisting particle subpopulations that span partially filled to fully packaged capsids. Voltage-dependent current blockade analysis revealed a substantial reduction in ΔI/I0 in LiCl, indicative of enhanced capsid deformation promoted by the chaotropic Li+ ions that weaken interprotein cohesion within the viral shell. Integrating nanopipette sensing with a self-supervised machine learning framework enabled quantitative discrimination of full and defective capsids based on their electromechanical fingerprints. Together, these results elucidate how electrolyte composition governs nanoscale capsid mechanics and establish nanopipette-based single-particle analysis combined with data-driven classification as a powerful tool for rapid and quantitative assessment of AAV stability and vector quality in gene therapy manufacturing.

Indexed as

CapsidDependovirusLithium ChlorideNanoporesPotassium ChlorideLithium ChloridePotassium Chloride

Identifiers

PMID42438379
PMCPMC13470983

What OpenQuestion holds

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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.