2020
DOI: 10.1038/s41596-020-00431-y
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Tools for experimental and computational analyses of off-target editing by programmable nucleases

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Cited by 66 publications
(59 citation statements)
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“…Gold-standard methods for assessing off-target impacts include whole genome or ChIP-bisulfite sequencing [ 48 , 49 ]. These methods, although thorough and accurate, are expensive and time-consuming.…”
Section: Resultsmentioning
confidence: 99%
“…Gold-standard methods for assessing off-target impacts include whole genome or ChIP-bisulfite sequencing [ 48 , 49 ]. These methods, although thorough and accurate, are expensive and time-consuming.…”
Section: Resultsmentioning
confidence: 99%
“…121,127,128 Although prediction tools are not yet perfect, computational algorithms can predict many off-target sites that may be experimentally validated. 129 In silico prediction and biochemical testing with in vitro and/or cellular assays can nominate sets of possible off-target sites to be sequenced to define any experimentally validated off-target sites. 130 A variety of strategies, including modifications to the Cas protein or gRNA or limited temporal exposure to the genome editor (such as with RNP pulse delivery), may reduce the risk of off-target mutagenesis, although there may be trade-offs to consider between ontarget efficiency and specificity.…”
Section: Potential Sources Of Variation In Engraftment Outcomesmentioning
confidence: 99%
“…However, the potential off-target DNA activity needs to be considered especially when developing therapeutic strategies. Methods for detecting off-targets have been recently reviewed [116,117]. Briefly, off-targets of designer nucleases can be predicted using in silico methods, or identified using in vitro or cell-based assays, which can detect DSBs in a genome-wide manner.…”
Section: Off-target Activity Of Genome Editing Systemsmentioning
confidence: 99%
“…In cellular assays are generally believed to be more reliable [118]; however, in most of the cases, surrogate cell lines need to be used because these methods have not been adapted yet to clinically relevant cells, such as HSPCs. As base and prime editors are characterized by little or no DSB generation, the assays off-targets to detect are more limited compared to designer nucleases, but they will probably be developed in the next future [116,117]. Finally, RNAseq is commonly used to detect RNA off-target activity of base editors [100].…”
Section: Off-target Activity Of Genome Editing Systemsmentioning
confidence: 99%