| Literature DB >> 36217031 |
Matthew G Durrant1,2,3, Alison Fanton2,4, Josh Tycko3, Michaela Hinks5, Sita S Chandrasekaran2,4, Nicholas T Perry2,4, Julia Schaepe5, Peter P Du3,6, Peter Lotfy7, Michael C Bassik8, Lacramioara Bintu9, Ami S Bhatt10,11, Patrick D Hsu12,13,14,15,16.
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.Entities:
Year: 2022 PMID: 36217031 DOI: 10.1038/s41587-022-01494-w
Source DB: PubMed Journal: Nat Biotechnol ISSN: 1087-0156 Impact factor: 68.164