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系统发现重组酶可有效将大段 DNA 序列整合入人类基因组。

Systematic discovery of recombinases for efficient integration of large DNA sequences into the human genome.

机构信息

Arc Institute, Palo Alto, CA, USA.

Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA.

出版信息

Nat Biotechnol. 2023 Apr;41(4):488-499. doi: 10.1038/s41587-022-01494-w. Epub 2022 Oct 10.

Abstract

Large serine recombinases (LSRs) are DNA integrases that facilitate the site-specific integration of mobile genetic elements into bacterial genomes. Only a few LSRs, such as Bxb1 and PhiC31, have been characterized to date, with limited efficiency as tools for DNA integration in human cells. In this study, we developed a computational approach to identify thousands of LSRs and their DNA attachment sites, expanding known LSR diversity by >100-fold and enabling the prediction of their insertion site specificities. We tested their recombination activity in human cells, classifying them as landing pad, genome-targeting or multi-targeting LSRs. Overall, we achieved up to seven-fold higher recombination than Bxb1 and genome integration efficiencies of 40-75% with cargo sizes over 7 kb. We also demonstrate virus-free, direct integration of plasmid or amplicon libraries for improved functional genomics applications. This systematic discovery of recombinases directly from microbial sequencing data provides a resource of over 60 LSRs experimentally characterized in human cells for large-payload genome insertion without exposed DNA double-stranded breaks.

摘要

大型丝氨酸重组酶(LSR)是一种 DNA 整合酶,可促进移动遗传元件在细菌基因组中的特异性整合。迄今为止,只有少数 LSR(如 Bxb1 和 PhiC31)得到了表征,其作为人类细胞中 DNA 整合工具的效率有限。在这项研究中,我们开发了一种计算方法来鉴定数千种 LSR 及其 DNA 附着位点,使已知的 LSR 多样性扩大了 100 多倍,并能够预测其插入位点的特异性。我们在人类细胞中测试了它们的重组活性,将它们分类为着陆垫、基因组靶向或多靶向 LSR。总的来说,我们实现了比 Bxb1 高 7 倍的重组效率,并且在 7kb 以上的载体大小下实现了 40-75%的基因组整合效率。我们还展示了无病毒、直接整合质粒或扩增子文库的方法,用于改进功能基因组学应用。这种直接从微生物测序数据中发现重组酶的系统方法提供了超过 60 种 LSR 的资源,这些 LSR 在人类细胞中经过实验表征,可用于无暴露 DNA 双链断裂的大有效载荷基因组插入。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ecc/10110465/fb432f3865d3/41587_2022_1494_Fig1_HTML.jpg

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