2020
DOI: 10.3390/cells9071608
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Latest Developed Strategies to Minimize the Off-Target Effects in CRISPR-Cas-Mediated Genome Editing

Abstract: Gene editing that makes target gene modification in the genome by deletion or addition has revolutionized the era of biomedicine. Clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 emerged as a substantial tool due to its simplicity in use, less cost and extraordinary efficiency than the conventional gene-editing tools, including zinc finger nucleases (ZFNs) and Transcription activator-like effector nucleases (TALENs). However, potential off-target activities are crucial shortcomin… Show more

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Cited by 279 publications
(175 citation statements)
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“…Therefore, the GMO Panel considers that the analysis of potential off‐targets would be of very limited value for the risk assessment. In addition, although some biochemical and bioinformatic tools are available to identify potential off‐target mutations (Bae et al., 2014; Tsai et al., 2015; Cameron et al., 2017; Akcakaya et al., 2018; Peng et al., 2018; Naeem et al., 2020), the limited availability and/or completeness of plant genomic sequences and their intraspecies and intravarietal variability would not always allow for a reliable prediction of potential off‐target mutations (Tang et al., 2018; Lee et al., 2019). While an increasing number of publications have investigated off‐target effects for SDN‐based technologies, the GMO Panel noticed that information on the off‐target mechanism and frequency for ODM is quite limited (Modrzejewski et al., 2019).…”
Section: Assessmentmentioning
confidence: 99%
“…Therefore, the GMO Panel considers that the analysis of potential off‐targets would be of very limited value for the risk assessment. In addition, although some biochemical and bioinformatic tools are available to identify potential off‐target mutations (Bae et al., 2014; Tsai et al., 2015; Cameron et al., 2017; Akcakaya et al., 2018; Peng et al., 2018; Naeem et al., 2020), the limited availability and/or completeness of plant genomic sequences and their intraspecies and intravarietal variability would not always allow for a reliable prediction of potential off‐target mutations (Tang et al., 2018; Lee et al., 2019). While an increasing number of publications have investigated off‐target effects for SDN‐based technologies, the GMO Panel noticed that information on the off‐target mechanism and frequency for ODM is quite limited (Modrzejewski et al., 2019).…”
Section: Assessmentmentioning
confidence: 99%
“…Genome wide detection techniques, such as Digenome-seq, SITE-seq, and CIRCLE-seq, have been developed to understand the extent of off-target events in an unbiased way [69]. Furthermore, several approaches are now being used to minimize the off-target effect, especially focusing on the CRISPR/Cas9 technology, with optimization of the gRNAs design and the Cas proteins [70]. Point mutations in the sequence of the Cas9 protein have dramatically increased the specificity of the system and generated the so-called high fidelity Cas9 proteins (HiFi Cas9) [71,72].…”
Section: Risks Of Using Gene-editing Techniquesmentioning
confidence: 99%
“…Altering SpCas9 to increase specificity, change PAMs, or improve efficiency has been of high interest in the genome editing world (Naeem et al, 2020). For example, a version of SpCas9, xCas9, was developed to recognize a wider array of PAMs increasing the sites that could be targeted with the protein.…”
Section: Cas Variationsmentioning
confidence: 99%
“…There are many tools that have been developed by industry and academic groups to computationally predict where in a genome a targeting component, such as a sgRNA or TALEN, will bind to (Bradford & Perrin, 2019, Bogdanove & Booher, 2016. The variety of target prediction tools ranging from scoringbased to alignment-based models that are current developed for CRISPR/Cas9 was recently summarized by Naeem et al (2020). Use of these computational tools is both crucial and common practice when designing components to reduce the possibility of off-target edits and to identify genomic locations that will need to be checked for edits if whole genome sequencing is not feasible.…”
Section: Target Selectionmentioning
confidence: 99%
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