Evidence map›Paper›PMID 37628711›Full record

ArticleGenes2023

SMRT Sequencing Enables High-Throughput Identification of Novel AAVs from Capsid Shuffling and Directed Evolution.

Widler Casy, Irvin T Garza, Xin Chen, Thomas Dong, Yuhui Hu, Mohammed Kanchwala, Cynthia B Trygg, Charles Shyng, Chao Xing, Bruce A Bunnell and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. 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
0.7field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

12 authors at 4 institutions in 1 country.

Widler CasyDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Irvin T GarzaDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-2152-9072
Xin ChenDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0003-0645-6319
Thomas DongDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Yuhui HuDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Mohammed KanchwalaEugene McDermott Center for Human Growth & Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0001-6035-2970
Cynthia B TryggTulane National Primate Research Center, Tulane University School of Medicine, Covington, LA 70433, USA.
Charles ShyngGene Therapy Center, University of North Carolina, Chapel Hill, NC 27599, USA.
Chao XingEugene McDermott Center for Human Growth & Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-1838-0502
Bruce A BunnellTulane National Primate Research Center, Tulane University School of Medicine, Covington, LA 70433, USA.ORCID 0000-0001-6196-3722
Stephen E BraunTulane National Primate Research Center, Tulane University School of Medicine, Covington, LA 70433, USA.
Steven J GrayDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-6240-8621
The University of Texas Southwestern Medical Center · USTulane University · USSouthwestern Medical Center · USUniversity of North Carolina at Chapel Hill · US

Funding

Tulane NPRC SPF Sheltered Outdoor Enclosure ExpansionP51OD011104 · OD · TULANE UNIVERSITY OF LOUISIANA · PI L Lee HAMM · 2012 to 2026
$142.4M
UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Jeff G McDonald · 2022 to 2026
$7.4M
Directed Evolution of Novel AAV Capsis for Global CNS Delivery in Rodents and PrimatesR01NS095867 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI GRAY, STEVEN J · 2016 to 2021
$2.9M
NIDDK NIH HHS P30 DK127984NIH HHS P51 OD011104NINDS NIH HHS R01 NS095867
6 · The paper itself

Abstract

The use of AAV capsid libraries coupled with various selection strategies has proven to be a remarkable approach for generating novel AAVs with enhanced and desired features. The inability to reliably sequence the complete capsid gene in a high-throughput manner has been the bottleneck of capsid engineering. As a result, many library strategies are confined to localized and modest alterations in the capsid, such as peptide insertions or single variable region (VR) alterations. The caveat of short reads by means of next-generation sequencing (NGS) hinders the diversity of capsid library construction, shifting the field away from whole-capsid modifications. We generated AAV capsid shuffled libraries of naturally occurring AAVs and applied directed evolution in both mice and non-human primates (NHPs), with the goal of yielding AAVs that are compatible across both species for translational applications. We recovered DNA from the tissues of injected animal and used single molecule real-time (SMRT) sequencing to identify variants enriched in the central nervous system (CNS). We provide insights and considerations for variant identification by comparing bulk tissue sequencing to that of isolated nuclei. Our work highlights the potential advantages of whole-capsid engineering, as well as indispensable methodological improvements for the analysis of recovered capsids, including the nuclei-enrichment step and SMRT sequencing.

Indexed as

CapsidCapsid ProteinsAnimalsCloning, MolecularGene LibraryHigh-Throughput Nucleotide SequencingMiceCapsid ProteinsAAVcapsid engineeringcapsid shufflingdirected evolutiongene therapySMRT sequencingvector development

Identifiers

PMID37628711
PMCPMC10454592
OpenAlexW4386051156

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.