While multiple technologies for small allele genome editing exist, robust technologies for targeted integration of large DNA fragments in mammalian genomes are still missing. Here we develop a gene delivery tool (FiCAT) combining the precision of a CRISPR-Cas9 (find module), and the payload transfer efficiency of an engineered piggyBac transposase (cut-and-transfer module). FiCAT combines the functionality of Cas9 DNA scanning and targeting DNA, with piggyBac donor DNA processing and transfer capacity. PiggyBac functional domains are engineered providing increased on-target integration while reducing off-target events. We demonstrate efficient delivery and programmable insertion of small and large payloads in cellulo (human (Hek293T, K-562) and mouse (C2C12)) and in vivo in mouse liver. Finally, we evolve more efficient versions of FiCAT by generating a targeted diversity of 394,000 variants and undergoing 4 rounds of evolution. In this work, we develop a precise and efficient targeted insertion of multi kilobase DNA fragments in mammalian genomes.
Comprehensive characterisation of genome engineering technologies is relevant for their development and safe use in human gene therapy. Short-read based methods can overlook insertion events in repetitive regions. We develop INSERT-seq, a method that combines targeted amplification of integrated DNA, UMI-based correction of PCR bias and Oxford Nanopore long-read sequencing for robust analysis of DNA integration. The experimental pipeline improves the number of mappable insertions at repetitive regions by 4.8–7.3% and larger repeats are processed with a computational peak calling pipeline. INSERT-seq is a simple, cheap and robust method to quantitatively characterise DNA integration in diverse ex vivo and in vivo samples.
Comprehensive characterization of genome engineering with viral vectors, transposons, CRISPR/Cas mediated DNA integration and other DNA editors remains relevant for their development and safe use in human gene therapy. Currently, described methods for measuring DNA integration in edited cells rely on short read based technologies. Due to the repetitive nature of the human genome, short read based methods can potentially overlook insertion events in repetitive regions. We modelled the impact of read length in resolving insertion sites, which suggested a significant drop in insertion site detection with shorter read length. Based on that, we developed a method that combines targeted amplification of integrated DNA, UMI-based correction of PCR bias and Oxford Nanopore long-read sequencing for robust analysis of DNA integration in a genome. This method, called INSERT-seq, is capable of detecting events occurring at a frequency of up to 0.1%. INSERT-seq presents a complete handling of all insertions independently of repeat size. The experimental pipeline improves the number mappable insertions at repetitive regions by 7.3% and repeats larger than the long read sequencing size are processed computationally to perform a peak calling in a repeat database. INSERT-seq is a simple, cheap and robust method to quantitatively characterise DNA integration in diverse ex-vivo and in-vivo samples.
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