4.8 Article

Genome-wide integration site detection using Cas9 enriched amplification-free long-range sequencing

Journal

NUCLEIC ACIDS RESEARCH
Volume 49, Issue 3, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkaa1152

Keywords

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Funding

  1. Radcliffe Department of Medicine PhD Scholarship - Research Council's UK Medical Research Council Studentship
  2. Wellcome Trust Portfolio Grant [110579/Z/15/Z]
  3. Wellcome Trust
  4. Wellcome Trust [110579/Z/15/Z] Funding Source: Wellcome Trust

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AFIS-Seq is a new method based on long-read sequencing, which enables precise mapping of lentiviral integration sites within a single day with improved confidence. This approach can be used for safety evaluation of preclinical gene therapies and in vivo analysis of integration sites.
-The gene and cell therapy fields are advancing rapidly, with a potential to treat and cure a wide range of diseases, and lentivirus-based gene transfer agents are the vector of choice for many investigators. Early cases of insertional mutagenesis caused by gammaretroviral vectors highlighted that integration site (IS) analysis was a major safety and quality control checkpoint for lentiviral applications. The methods established to detect lentiviral integrations using next-generation sequencing (NGS) are limited by short read length, inadvertent PCR bias, low yield, or lengthy protocols. Here, we describe a new method to sequence IS using Amplification-free Integration Site sequencing (AFIS-Seq). AFIS-Seq is based on amplification-free, Cas9-mediated enrichment of high-molecular-weight chromosomal DNA suitable for long-range Nanopore MinION sequencing. This accessible and low-cost approach generates long reads enabling IS mapping with high certainty within a single day. We demonstrate proof-of-concept by mapping IS of lentiviral vectors in a variety of cell models and report up to 1600-fold enrichment of the signal. This method can be further extended to sequencing of Cas9-mediated integration of genes and to in vivo analysis of IS. AFIS-Seq uses long-read sequencing to facilitate safety evaluation of preclinical lentiviral vector gene therapies by providing IS analysis with improved confidence.

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