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Usage Information

Using a barcoded AAV capsid library to select for clinically relevant gene therapy vectors
Katja Pekrun, Gustavo De Alencastro, Qing-Jun Luo, Jun Liu, Youngjin Kim, Sean Nygaard, Feorillo Galivo, Feijie Zhang, Ren Song, Matthew R. Tiffany, Jianpeng Xu, Matthias Hebrok, Markus Grompe, Mark A. Kay
Katja Pekrun, Gustavo De Alencastro, Qing-Jun Luo, Jun Liu, Youngjin Kim, Sean Nygaard, Feorillo Galivo, Feijie Zhang, Ren Song, Matthew R. Tiffany, Jianpeng Xu, Matthias Hebrok, Markus Grompe, Mark A. Kay
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Resource and Technical Advance Therapeutics

Using a barcoded AAV capsid library to select for clinically relevant gene therapy vectors

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Abstract

While gene transfer using recombinant adeno-associated viral (rAAV) vectors has shown success in some clinical trials, there remain many tissues that are not well transduced. Because of the recent success in reprogramming islet-derived cells into functional β cells in animal models, we constructed 2 highly complex barcoded replication competent capsid shuffled libraries and selected for high-transducing variants on primary human islets. We describe the generation of a chimeric AAV capsid (AAV-KP1) that facilitates transduction of primary human islet cells and human embryonic stem cell–derived β cells with up to 10-fold higher efficiency compared with previously studied best-in-class AAV vectors. Remarkably, this chimeric capsid also enabled transduction of both mouse and human hepatocytes at very high levels in a humanized chimeric mouse model, thus providing a versatile vector that has the potential to be used in both preclinical testing and human clinical trials for liver-based diseases and diabetes.

Authors

Katja Pekrun, Gustavo De Alencastro, Qing-Jun Luo, Jun Liu, Youngjin Kim, Sean Nygaard, Feorillo Galivo, Feijie Zhang, Ren Song, Matthew R. Tiffany, Jianpeng Xu, Matthias Hebrok, Markus Grompe, Mark A. Kay

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 2,681 1,051
PDF 240 138
Figure 578 2
Supplemental data 173 100
Citation downloads 123 0
Totals 3,795 1,291
Total Views 5,086
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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