Ligase IV inhibitor SCR7 enhances gene editing directed by CRISPR–Cas9 and ssODN in human cancer cells View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Zheng Hu, Zhaoying Shi, Xiaogang Guo, Baishan Jiang, Guo Wang, Dixian Luo, Yonglong Chen, Yuan-Shan Zhu

ABSTRACT

Background: Precise genome editing is essential for both basic and translational research. The recently developed CRISPR/Cas9 system can specifically cleave a designated site of target gene to create a DNA double-strand break, which triggers cellular DNA repair mechanism of either inaccurate non-homologous end joining, or site-specific homologous recombination. Unfortunately, homology-directed repair (HDR) is challenging due to its very low efficiency. Herein, we focused on improving the efficiency of HDR using a combination of CRISPR/Cas9, eGFP, DNA ligase IV inhibitor SCR7, and single-stranded oligodeoxynucleotides (ssODN) in human cancer cells. Results: When Cas9, gRNA and eGFP were assembled into a co-expression vector, the disruption rate more than doubled following GFP-positive cell sorting in transfected cells compared to those unsorted cells. Using ssODNs as templates, SCR7 treatment increased targeted insertion efficiency threefold in transfected cells compared to those without SCR7 treatment. Moreover, this combinatorial approach greatly improved the efficiency of HDR and targeted gene mutation correction at both the GFP-silent mutation and the β-catenin Ser45 deletion mutation cells. Conclusion: The data of this study suggests that a combination of co-expression vector, ssODN, and ligase IV inhibitor can markedly improve the CRISPR/Cas9-directed gene editing, which should have significant application in targeted gene editing and genetic disease therapy. More... »

PAGES

12

References to SciGraph publications

  • 2016-12. CRISPR/Cas9 Targets Chicken Embryonic Somatic Cells In Vitro and In Vivo and generates Phenotypic Abnormalities in SCIENTIFIC REPORTS
  • 2016-12. Increasing the Efficiency of CRISPR/Cas9-mediated Precise Genome Editing of HSV-1 Virus in Human Cells in SCIENTIFIC REPORTS
  • 2010-06-25. A Rapid and General Assay for Monitoring Endogenous Gene Modification in ENGINEERED ZINC FINGER PROTEINS
  • 2005-06. Gene targeting in mice: functional analysis of the mammalian genome for the twenty-first century in NATURE REVIEWS GENETICS
  • 2013-03. Targeted genome engineering in human cells with the Cas9 RNA-guided endonuclease in NATURE BIOTECHNOLOGY
  • 2016-09. Overcoming doxorubicin resistance of cancer cells by Cas9-mediated gene disruption in SCIENTIFIC REPORTS
  • 2011-09. High-frequency genome editing using ssDNA oligonucleotides with zinc-finger nucleases in NATURE METHODS
  • 2008-01. Regulation of DNA double-strand break repair pathway choice in CELL RESEARCH
  • 2015-05. Increasing the efficiency of precise genome editing with CRISPR-Cas9 by inhibition of nonhomologous end joining in NATURE BIOTECHNOLOGY
  • 2013-03. Efficient genome editing in zebrafish using a CRISPR-Cas system in NATURE BIOTECHNOLOGY
  • 2008-01. Homologous recombination in DNA repair and DNA damage tolerance in CELL RESEARCH
  • 2016-04. CRISPR-Cas9 mediated efficient PD-1 disruption on human primary T cells from cancer patients in SCIENTIFIC REPORTS
  • 2015-05. Increasing the efficiency of homology-directed repair for CRISPR-Cas9-induced precise gene editing in mammalian cells in NATURE BIOTECHNOLOGY
  • 2010-09. Genome editing with engineered zinc finger nucleases in NATURE REVIEWS GENETICS
  • 2017. CRISPR/Cas9 Genome Editing in Embryonic Stem Cells in ENHANCER RNAS
  • 2016-07. Enhanced genome editing in mammalian cells with a modified dual-fluorescent surrogate system in CELLULAR AND MOLECULAR LIFE SCIENCES
  • 2013-05. Generation of gene-modified mice via Cas9/RNA-mediated gene targeting in CELL RESEARCH
  • 2013-04. Genome editing with RNA-guided Cas9 nuclease in Zebrafish embryos in CELL RESEARCH
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13578-018-0200-z

    DOI

    http://dx.doi.org/10.1186/s13578-018-0200-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1101102469

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29468011


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