Dataset Information

Rational Selection of CRISPR-Cas9 Guide RNAs for Homology-Directed Genome Editing.

ABSTRACT: Homology-directed repair (HDR) of a DNA break allows copying of genetic material from an exogenous DNA template and is frequently exploited in CRISPR-Cas9 genome editing. However, HDR is in competition with other DNA repair pathways, including non-homologous end joining (NHEJ) and microhomology-mediated end joining (MMEJ), and the efficiency of HDR outcomes is not predictable. Consequently, to optimize HDR editing, panels of CRISPR-Cas9 guide RNAs (gRNAs) and matched homology templates must be evaluated. We report here that CRISPR-Cas9 indel signatures can instead be used to identify gRNAs that maximize HDR outcomes. Specifically, we show that the frequency of deletions resulting from MMEJ repair, characterized as deletions greater than or equal to 3 bp, better predicts HDR frequency than consideration of total indel frequency. We further demonstrate that tools that predict gRNA indel signatures can be repurposed to identify gRNAs to promote HDR. Finally, by comparing indels generated by S. aureus and S. pyogenes Cas9 targeted to the same site, we add to the growing body of data that the targeted DNA sequence is a major factor governing genome editing outcomes.

SUBMITTER: Tatiossian KJ

PROVIDER: S-EPMC7934447 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Publications

Rational Selection of CRISPR-Cas9 Guide RNAs for Homology-Directed Genome Editing.

Tatiossian Kristina J KJ Clark Robert D E RDE Huang Chun C Thornton Matthew E ME Grubbs Brendan H BH Cannon Paula M PM

Molecular therapy : the journal of the American Society of Gene Therapy 20201014 3

Homology-directed repair (HDR) of a DNA break allows copying of genetic material from an exogenous DNA template and is frequently exploited in CRISPR-Cas9 genome editing. However, HDR is in competition with other DNA repair pathways, including non-homologous end joining (NHEJ) and microhomology-mediated end joining (MMEJ), and the efficiency of HDR outcomes is not predictable. Consequently, to optimize HDR editing, panels of CRISPR-Cas9 guide RNAs (gRNAs) and matched homology templates must be e ...[more]

PMID: 33160457

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Project description:CRISPR-Cas systems are a diverse family of RNA-protein complexes in bacteria that target foreign DNA sequences for cleavage. Derivatives of these complexes have been engineered to cleave specific target sequences depending on the sequence of a CRISPR-derived guide RNA (gRNA) and the source of the Cas9 protein. Important considerations for the design of gRNAs are to maximize aimed activity at the desired target site while minimizing off-target cleavage. Because of the rapid advances in the understanding of existing CRISPR-Cas9-derived RNA-guided nucleases and the development of novel RNA-guided nuclease systems, it is critical to have computational tools that can accommodate a wide range of different parameters for the design of target-specific RNA-guided nuclease systems. We have developed CRISPRseek, a highly flexible, open source software package to identify gRNAs that target a given input sequence while minimizing off-target cleavage at other sites within any selected genome. CRISPRseek will identify potential gRNAs that target a sequence of interest for CRISPR-Cas9 systems from different bacterial species and generate a cleavage score for potential off-target sequences utilizing published or user-supplied weight matrices with position-specific mismatch penalty scores. Identified gRNAs may be further filtered to only include those that occur in paired orientations for increased specificity and/or those that overlap restriction enzyme sites. For applications where gRNAs are desired to discriminate between two related sequences, CRISPRseek can rank gRNAs based on the difference between predicted cleavage scores in each input sequence. CRISPRseek is implemented as a Bioconductor package within the R statistical programming environment, allowing it to be incorporated into computational pipelines to automate the design of gRNAs for target sequences identified in a wide variety of genome-wide analyses. CRISPRseek is available under the GNU General Public Licence v3.0 at http://www.bioconductor.org.

Dataset Information

Rational Selection of CRISPR-Cas9 Guide RNAs for Homology-Directed Genome Editing.

Publications

Rational Selection of CRISPR-Cas9 Guide RNAs for Homology-Directed Genome Editing.

Similar Datasets

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