Abstract:
:Adeno-associated virus (AAV) vectors have become one of the most widely used gene transfer tools in human gene therapy. Considerable effort is currently being focused on AAV capsid engineering strategies with the aim of developing novel variants with enhanced tropism for specific human cell types, decreased human seroreactivity, and increased manufacturability. Selection strategies based on directed evolution rely on the generation of highly variable AAV capsid libraries using methods such as DNA-family shuffling, a technique reliant on stretches of high DNA sequence identity between input parental capsid sequences. This identity dependence for reassembly of shuffled capsids is inherently limiting and results in decreased shuffling efficiency as the phylogenetic distance between parental AAV capsids increases. To overcome this limitation, we have developed a novel codon-optimization algorithm that exploits evolutionarily defined codon usage at each amino acid residue in the parental sequences. This method increases average sequence identity between capsids, while enhancing the probability of retaining capsid functionality, and facilitates incorporation of phylogenetically distant serotypes into the DNA-shuffled libraries. This technology will help accelerate the discovery of an increasingly powerful repertoire of AAV capsid variants for cell-type and disease-specific applications.
journal_name
Mol Ther Methods Clin Devjournal_title
Molecular therapy. Methods & clinical developmentauthors
Cabanes-Creus M,Ginn SL,Amaya AK,Liao SHY,Westhaus A,Hallwirth CV,Wilmott P,Ward J,Dilworth KL,Santilli G,Rybicki A,Nakai H,Thrasher AJ,Filip AC,Alexander IE,Lisowski Ldoi
10.1016/j.omtm.2018.10.016subject
Has Abstractpub_date
2018-11-01 00:00:00pages
71-84issn
2329-0501pii
S2329-0501(18)30112-8journal_volume
12pub_type
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pub_type: 已发布勘误
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