Cited by 363CRISPR and Genetic EngineeringGenomics and Phylogenetic StudiesRNA regulation and disease

CasOT: A genome-wide cas9/gRNA off-target searching tool

Xiao, An, Cheng, Zhenchao, Kong, Lei, Zhu, Zuoyan, Lin, Shuo, Gao, Ge, Zhang, Bo·2014·Bioinformatics

Abstract

The CRISPR/Cas or Cas9/guide RNA system is a newly developed, easily engineered and highly effective tool for gene targeting; it has considerable off-target effects in cultured human cells and in several organisms. However, the Cas9/guide RNA target site is too short for existing alignment tools to exhaustively and effectively identify potential off-target sites. CasOT is a local tool designed to find potential off-target sites in any given genome or user-provided sequence, with user-specified types of protospacer adjacent motif, and number of mismatches allowed in the seed and non-seed regions. AVAILABILITY: http://eendb.zfgenetics.org/casot/ CONTACT: zfgenetics@gmail.com or bzhang@pku.edu.cn Supplementary Information: Supplementary data are available at Bioinformatics online.

Integrity signals

Registry

Crossref · 10.1093/bioinformatics/btt764

Cites

17 of 17 references verified0 citation errors · 0 not checkable

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  • CasOT is the first exhaustive tool to predict off-target sites in a user-provided reference genome, and it allows custom adjustment of the PAM sequence and the mismatch number.

    “CasOT is the first exhaustive tool to predict off-target sites in user-provided reference genome, and it allows custom adjustment of several parameters including the PAM sequence and the mismatch number (Xiao et al., 2014).”

    From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Xiao et al., 2014

  • AAV delivery in vivo lasts for years in terminally differentiated cell types.

    “| Delivery methods improvement | Application in vivo [95–105] | AAV: Last for years in terminally differentiated cell types | May cause accumulation of off-target mutations |”

    From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as [95]

  • LNP delivery in vivo can be quickly degraded.

    “| Delivery methods improvement | Application in vivo [95–105] | LNP: Can be quickly degraded in vivo | Eliminate off-target effects |”

    From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as [95]

  • AAV delivery in vivo may cause accumulation of off-target mutations.

    “| Delivery methods improvement | Application in vivo [95–105] | AAV: Last for years in terminally differentiated cell types | May cause accumulation of off-target mutations |”

    From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as [95]

  • LNP delivery in vivo eliminates off-target effects.

    “| Delivery methods improvement | Application in vivo [95–105] | LNP: Can be quickly degraded in vivo | Eliminate off-target effects |”

    From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as [95]

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Authors
Xiao, A., Cheng, Z., Kong, L., Zhu, Z., Lin, S., Gao, G., & Zhang, B.
Affiliations
University of California, Los Angeles (US)
Venue
Bioinformatics
Published
2014-01-02
Volume
30
Issue
8
Pages
1180-1182
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2115189270
Cited by
363
References
17
Citations by year
2026: 9 · 2025: 23 · 2024: 31 · 2023: 30 · 2022: 30 · 2021: 30 · 2020: 30 · 2019: 36 · 2018: 30 · 2017: 21 · 2016: 42 · 2015: 24 · 2014: 25
FWCI
15.30
Type
journal article
Language
en
Open access
closed
Locations
  • Bioinformatics (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
Keywords
CRISPR-Cas, off-target sites, protospacer adjacent motif, gene targeting
MeSH terms
RNA, Guide, CRISPR-Cas Systems, Humans, Software, Gene Targeting, Computational Biology, CRISPR-Cas Systems

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