Molecular Therapy: Nucleic Acids (Dec 2021)

The comparison of ZFNs, TALENs, and SpCas9 by GUIDE-seq in HPV-targeted gene therapy

  • Zifeng Cui,
  • Hui Liu,
  • Hongfeng Zhang,
  • Zhaoyue Huang,
  • Rui Tian,
  • Lifang Li,
  • Weiwen Fan,
  • Yili Chen,
  • Lijie Chen,
  • Sen Zhang,
  • Bhudev C. Das,
  • Konstantin Severinov,
  • Inga Isabel Hitzeroth,
  • Priya Ranjan Debata,
  • Zhuang Jin,
  • Jiashuo Liu,
  • Zheying Huang,
  • Weiling Xie,
  • Hongxian Xie,
  • Bin Lang,
  • Ji Ma,
  • Haiyan Weng,
  • Xun Tian,
  • Zheng Hu

Journal volume & issue
Vol. 26
pp. 1466 – 1478

Abstract

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Zinc-finger nucleases (ZFNs), transcription activator-like endonucleases (TALENs), and CRISPR-associated Cas9 endonucleases are three major generations of genome editing tools. However, no parallel comparison about the efficiencies and off-target activity of the three nucleases has been reported, which is critical for the final clinical decision. We for the first time developed the genome-wide unbiased identification of double-stranded breaks enabled by sequencing (GUIDE-seq) method in ZFNs and TALENs with novel bioinformatics algorithms to evaluate the off-targets. By targeting human papillomavirus 16 (HPV16), we compared the performance of ZFNs, TALENs, and SpCas9 in vivo. Our data showed that ZFNs with similar targets could generate distinct massive off-targets (287–1,856), and the specificity could be reversely correlated with the counts of middle “G” in zinc finger proteins (ZFPs). We also compared the TALENs with different N-terminal domains (wild-type [WT]/αN/βN) and G recognition modules (NN/NH) and found the design (αN or NN) to improve the efficiency of TALEN inevitably increased off-targets. Finally, our results showed that SpCas9 was more efficient and specific than ZFNs and TALENs. Specifically, SpCas9 had fewer off-target counts in URR (SpCas9, n = 0; TALEN, n = 1; ZFN, n = 287), E6 (SpCas9, n = 0; TALEN, n = 7), and E7 (SpCas9, n = 4; TALEN, n = 36). Taken together, we suggest that for HPV gene therapies, SpCas9 is a more efficient and safer genome editing tool. Our off-target data could be used to improve the design of ZFNs and TALENs, and the universal in vivo off-target detection pipeline for three generations of artificial nucleases provided useful tools for genome engineering-based gene therapy.

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