Dataset Information

Prediction of Human Immunodeficiency Virus Type 1 Subtype-Specific Off-Target Effects Arising from CRISPR-Cas9 Gene Editing Therapy.

ABSTRACT: Chronic human immunodeficiency virus type 1 (HIV-1) disease is characterized by the retention of provirus within latently infected cells. Anti-HIV-1 CRISPR-Cas9 gene editing is an attractive strategy to excise or inactivate the HIV-1 genome. Recent strategies have focused on designing gRNAs that target the long terminal repeat (LTR) because 5' and 3' LTR symmetry can facilitate proviral excision. However, the promiscuity of CRISPR-Cas9 gene editing system necessitates the investigation of potential off-target effects. Here, potential gRNAs designed from HIV-1 phylogenetic subtypes using the CRISPRseek tool were investigated. Across the LTR, it was found that certain regions show higher human homology than others. When using recommended cutoffs, 96.40% of gRNAs were predicted to have no high probability off-target effects. Given this observation, while high-probability off-target effects are a potential danger, they can be avoided with proper gRNA design.

SUBMITTER: Link RW

PROVIDER: S-EPMC6553478 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prediction of Human Immunodeficiency Virus Type 1 Subtype-Specific Off-Target Effects Arising from CRISPR-Cas9 Gene Editing Therapy.

Link Robert W RW Nonnemacher Michael R MR Wigdahl Brian B Dampier Will W

The CRISPR journal 20180801

Chronic human immunodeficiency virus type 1 (HIV-1) disease is characterized by the retention of provirus within latently infected cells. Anti-HIV-1 CRISPR-Cas9 gene editing is an attractive strategy to excise or inactivate the HIV-1 genome. Recent strategies have focused on designing gRNAs that target the long terminal repeat (LTR) because 5' and 3' LTR symmetry can facilitate proviral excision. However, the promiscuity of CRISPR-Cas9 gene editing system necessitates the investigation of potent ...[more]

PMID: 31021222

Similar Datasets

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

Prediction of Human Immunodeficiency Virus Type 1 Subtype-Specific Off-Target Effects Arising from CRISPR-Cas9 Gene Editing Therapy.

Publications

Prediction of Human Immunodeficiency Virus Type 1 Subtype-Specific Off-Target Effects Arising from CRISPR-Cas9 Gene Editing Therapy.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets