Tasan Ipek, Zhao Huimin
Department of Biochemistry, ‡Department of Chemical and Biomolecular Engineering, §Carl R. Woese Institute for Genomic Biology, ∥Center for Biophysics and Quantitative Biology, ⊥Department of Chemistry, and #Department of Bioengineering, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
ACS Synth Biol. 2017 Sep 15;6(9):1609-1613. doi: 10.1021/acssynbio.7b00270.
CRISPR/Cas9 system has accelerated research across many fields since its demonstration for genome editing. CRISPR also offers vast therapeutic potential, but an important hurdle of this technology is the off-target mutations it can induce. In this viewpoint, we will discuss recent strategies for improving CRISPR specificity, emphasizing how a complete mechanistic understanding of CRISPR/Cas9 can benefit such efforts. We also propose that agreeing upon a consensus protocol with the highest specificity could benefit researchers working on CRISPR-based therapies. In addition to improving CRISPR/Cas9 specificity, accurate detection of off-target events is also crucial, and we will discuss various unbiased off-target detection methods in terms of their advantages and disadvantages. We suggest that using a combination of cell-based and cell-free methods can prove more useful. In addition, we point out that improving predictive algorithms for off-target sites would require pooling of the available off-target analysis data and standardization of the protocols used for obtaining the data. Moreover, we highlight the risk of insertional mutagenesis for gene correction applications requiring the use of donor DNA. We conclude by discussing future prospects for the field, as well as steps that can be taken to overcome the aforementioned challenges.
自CRISPR/Cas9系统被证明可用于基因组编辑以来,它加速了许多领域的研究。CRISPR也具有巨大的治疗潜力,但该技术的一个重要障碍是它可能诱导的脱靶突变。在本文观点中,我们将讨论提高CRISPR特异性的最新策略,强调对CRISPR/Cas9完整的机制理解如何有助于此类努力。我们还提出,就具有最高特异性的共识方案达成一致可能会使从事基于CRISPR疗法研究的人员受益。除了提高CRISPR/Cas9的特异性外,准确检测脱靶事件也至关重要,我们将讨论各种无偏倚的脱靶检测方法的优缺点。我们建议结合使用基于细胞和无细胞的方法可能会更有用。此外,我们指出,改进脱靶位点的预测算法需要汇总可用的脱靶分析数据,并对获取数据所使用的方案进行标准化。此外,我们强调了在需要使用供体DNA的基因校正应用中插入诱变的风险。我们通过讨论该领域的未来前景以及为克服上述挑战可以采取的步骤来结束本文。