2020
DOI: 10.1134/s0026893320010069
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Design of Guide RNA for CRISPR/Cas Plant Genome Editing

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Cited by 33 publications
(18 citation statements)
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“…Generally, these tools exploit a similar algorithm to design gRNA [ 255 ]. However, some characteristics related to the gRNA spacer region (e.g., number and type of mismatch, GC-content, length, and indels) and the selection of specific Cas-nucleases vary between these tools [ 256 ].…”
Section: Genetic Engineering Approaches In Cannabismentioning
confidence: 99%
“…Generally, these tools exploit a similar algorithm to design gRNA [ 255 ]. However, some characteristics related to the gRNA spacer region (e.g., number and type of mismatch, GC-content, length, and indels) and the selection of specific Cas-nucleases vary between these tools [ 256 ].…”
Section: Genetic Engineering Approaches In Cannabismentioning
confidence: 99%
“…Another major drawback of the CRISPR-Cas system is its non-specificity. In this case, Cas cleaves DNA at non-target sites that are not complementary of single guide RNA [ 172 ]. This drawback impedes CRISPR-Cas potential applications, particularly when genome alteration needs to be precise, as in the case of gene therapy.…”
Section: Constraints and Solutions Related To Crispr-cas Genome Editingmentioning
confidence: 99%
“…In plants, the specificity of the CRISPR-Cas system has been estimated by deliberate non-target investigation [ 174 ]. For RNPs, non-target alterations were hardly recognized by thorough sequencing, indicating that RNPs enhance the specificity of the editing system [ 172 ]. However, no study has been reported on Cas specificity in plants.…”
Section: Constraints and Solutions Related To Crispr-cas Genome Editingmentioning
confidence: 99%
“…This is because the specificity of sgRNAs are highly dependent on the so-called "seed region" of crRNAs, which in the case of Cas9, encompasses approximately 8-12 nucleotides upstream of the PAM. Mismatches of 2 or more nucleotides in this sequence of the protospacer generally prevent Cas9 cleavage (Tang et al, 2018;Young et al, 2019;Gerashchenkov et al, 2020). This means that possible off-target mutations are highly predictable and can very easily be minimized through the careful selection of target sites.…”
Section: Potential For Off-target Effects In Plantsmentioning
confidence: 99%