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Defining genome-wide CRISPR-Cas genome-editing nuclease activity with GUIDE-seq.

ABSTRACT: Genome-wide unbiased identification of double-stranded breaks enabled by sequencing (GUIDE-seq) is a sensitive, unbiased, genome-wide method for defining the activity of genome-editing nucleases in living cells. GUIDE-seq is based on the principle of efficient integration of an end-protected double-stranded oligodeoxynucleotide tag into sites of nuclease-induced DNA double-stranded breaks, followed by amplification of tag-containing genomic DNA molecules and high-throughput sequencing. Here we describe a detailed GUIDE-seq protocol including cell transfection, library preparation, sequencing and bioinformatic analysis. The entire protocol including cell culture can be completed in 9 d. Once tag-integrated genomic DNA is isolated, library preparation, sequencing and analysis can be performed in 3 d. The result is a genome-wide catalog of off-target sites ranked by nuclease activity as measured by GUIDE-seq read counts. GUIDE-seq is one of the most sensitive cell-based methods for defining genome-wide off-target activity and has been broadly adopted for research and therapeutic use.

SUBMITTER: Malinin NL

PROVIDER: S-EPMC9331158 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundGenome editing technologies developed around the CRISPR-Cas9 nuclease system have facilitated the investigation of a broad range of biological questions. These nucleases also hold tremendous promise for treating a variety of genetic disorders. In the context of their therapeutic application, it is important to identify the spectrum of genomic sequences that are cleaved by a candidate nuclease when programmed with a particular guide RNA, as well as the cleavage efficiency of these sites. Powerful new experimental approaches, such as GUIDE-seq, facilitate the sensitive, unbiased genome-wide detection of nuclease cleavage sites within the genome. Flexible bioinformatics analysis tools for processing GUIDE-seq data are needed.ResultsHere, we describe an open source, open development software suite, GUIDEseq, for GUIDE-seq data analysis and annotation as a Bioconductor package in R. The GUIDEseq package provides a flexible platform with more than 60 adjustable parameters for the analysis of datasets associated with custom nuclease applications. These parameters allow data analysis to be tailored to different nuclease platforms with different length and complexity in their guide and PAM recognition sequences or their DNA cleavage position. They also enable users to customize sequence aggregation criteria, and vary peak calling thresholds that can influence the number of potential off-target sites recovered. GUIDEseq also annotates potential off-target sites that overlap with genes based on genome annotation information, as these may be the most important off-target sites for further characterization. In addition, GUIDEseq enables the comparison and visualization of off-target site overlap between different datasets for a rapid comparison of different nuclease configurations or experimental conditions. For each identified off-target, the GUIDEseq package outputs mapped GUIDE-Seq read count as well as cleavage score from a user specified off-target cleavage score prediction algorithm permitting the identification of genomic sequences with unexpected cleavage activity.ConclusionThe GUIDEseq package enables analysis of GUIDE-data from various nuclease platforms for any species with a defined genomic sequence. This software package has been used successfully to analyze several GUIDE-seq datasets. The software, source code and documentation are freely available at http://www.bioconductor.org/packages/release/bioc/html/GUIDEseq.html .

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Defining genome-wide CRISPR-Cas genome-editing nuclease activity with GUIDE-seq.

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