生物
基因传递
否定选择
衣壳
计算生物学
重组DNA
电池类型
转导(生物物理学)
选择(遗传算法)
基因
遗传增强
细胞
遗传学
基因组
计算机科学
生物化学
人工智能
作者
Sripriya Ravindra Kumar,Timothy F. Miles,Xinhong Chen,David Alan Brown,Tatyana Dobreva,Qin Huang,Xiaozhe Ding,Yicheng Luo,Pétur H. Einarsson,Alon Greenbaum,Min Jee Jang,Benjamin E. Deverman,Viviana Gradinaru
出处
期刊:Nature Methods
[Springer Nature]
日期:2020-04-20
卷期号:17 (5): 541-550
被引量:121
标识
DOI:10.1038/s41592-020-0799-7
摘要
Recombinant adeno-associated viruses (rAAVs) are efficient gene delivery vectors via intravenous delivery; however, natural serotypes display a finite set of tropisms. To expand their utility, we evolved AAV capsids to efficiently transduce specific cell types in adult mouse brains. Building upon our Cre-recombination-based AAV targeted evolution (CREATE) platform, we developed Multiplexed-CREATE (M-CREATE) to identify variants of interest in a given selection landscape through multiple positive and negative selection criteria. M-CREATE incorporates next-generation sequencing, synthetic library generation and a dedicated analysis pipeline. We have identified capsid variants that can transduce the central nervous system broadly, exhibit bias toward vascular cells and astrocytes, target neurons with greater specificity or cross the blood-brain barrier across diverse murine strains. Collectively, the M-CREATE methodology accelerates the discovery of capsids for use in neuroscience and gene-therapy applications.
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