Evidence map›Paper›PMID 37735235›Full record

ReviewNature protocols2023

Structure-guided AAV capsid evolution strategies for enhanced CNS gene delivery.

Trevor J Gonzalez, Aaron Mitchell-Dick, Leo O Blondel, Marco M Fanous, Joshua A Hull, Daniel K Oh, Sven Moller-Tank, Ruth M Castellanos Rivera, Jorge A Piedrahita, Aravind Asokan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
9.4field-weighted citation impact, top 2% of its field
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

26 citing papers in PubMed, 30 citations in OpenAlex.

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  15. Current clinical applications of AAV-mediated gene therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
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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

10 authors at 3 institutions in 1 country.

Trevor J Gonzalez *Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA.
Aaron Mitchell-Dick *Department of Surgery, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0001-6730-8868
Leo O BlondelDepartment of Surgery, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0002-9211-259X
Marco M FanousDepartment of Surgery, Duke University School of Medicine, Durham, NC, USA.
Joshua A HullDepartment of Surgery, Duke University School of Medicine, Durham, NC, USA.
Daniel K OhDepartment of Surgery, Duke University School of Medicine, Durham, NC, USA.
Sven Moller-TankGene Therapy Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Ruth M Castellanos RiveraGene Therapy Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jorge A PiedrahitaNorth Carolina State University College of Veterinary Medicine, Raleigh, NC, USA.
Aravind AsokanDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA. aravind.asokan@duke.edu.ORCID 0000-0001-5563-4877
Duke University · USUniversity of North Carolina at Chapel Hill · USNorth Carolina State University · US

Funding

Determinants of AAV TropismR01HL089221 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Aravind Asokan · 2009 to 2026
$8.1M
Evolving High Potency AAV Vectors for Neuromuscular Genome EditingUG3AR075336 · NIAMS · DUKE UNIVERSITY · PI ASOKAN, ARAVIND · 2018 to 2020
$2.1M
Evolving High Potency AAV Vectors for Neuromuscular Genome EditingUH3AR075336 · NIAMS · DUKE UNIVERSITY · PI ASOKAN, ARAVIND · 2021 to 2022
$2.0M
NIAMS NIH HHS UG3 AR075336NIAMS NIH HHS UH3 AR075336U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL089221U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) UG3AR07336U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) UH3AR075336
6 · The paper itself

Abstract

Over the past 5 years, our laboratory has systematically developed a structure-guided library approach to evolve new adeno-associated virus (AAV) capsids with altered tissue tropism, higher transduction efficiency and the ability to evade pre-existing humoral immunity. Here, we provide a detailed protocol describing two distinct evolution strategies using structurally divergent AAV serotypes as templates, exemplified by improving CNS gene transfer efficiency in vivo. We outline four major components of our strategy: (i) structure-guided design of AAV capsid libraries, (ii) AAV library production, (iii) library cycling in single versus multiple animal models, followed by (iv) evaluation of lead AAV vector candidates in vivo. The protocol spans ~95 d, excluding gene expression analysis in vivo, and can vary depending on user experience, resources and experimental design. A distinguishing attribute of the current protocol is the focus on providing biomedical researchers with 3D structural information to guide evolution of precise 'hotspots' on AAV capsids. Furthermore, the protocol outlines two distinct methods for AAV library evolution consisting of adenovirus-enabled infectious cycling in a single species and noninfectious cycling in a cross-species manner. Notably, our workflow can be seamlessly merged with other RNA transcript-based library strategies and tailored for tissue-specific capsid selection. Overall, the procedures outlined herein can be adapted to expand the AAV vector toolkit for genetic manipulation of animal models and development of human gene therapies.

Indexed as

CapsidDependovirusAnimalsCapsid ProteinsGenetic TherapyGenetic VectorsGene Transfer TechniquesHumansTransduction, GeneticCapsid Proteins

Identifiers

PMID37735235
OpenAlexW4386935270

What OpenQuestion holds

Textmetadata
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.