Detection of CRISPR/Cas9-Generated Off-Target Effect by Integration-Defective Lentiviral Vector

Clustered regularly interspaced short palindromic repeat (CRISPR) and other gene editing technologies such as zinc finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs) show great promises for research and therapeutic applications. One major concern is the off-target effects generated by these nucleases at unintended genomic sequences. In silico methods are usually used for off-target site prediction. However, based on currently available algorithms, the predicted cleavage activity at these potential off-target sites does not always reflect the true cleavage in vivo. Here we present an unbiased screening protocol using integration-defective lentiviral vector (IDLV) and deep sequencing to map the off-target sites generated by gene editing tools.