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Generation and comparison of CRISPR-Cas9 and Cre-mediated genetically engineered mouse models of sarcoma

Author

Listed:
  • Jianguo Huang

    (Duke University Medical Center)

  • Mark Chen

    (Duke University Medical Center
    Medical Scientist Training Program, Duke University Medical Center)

  • Melodi Javid Whitley

    (Duke University Medical Center
    Medical Scientist Training Program, Duke University Medical Center)

  • Hsuan-Cheng Kuo

    (Duke University Medical Center)

  • Eric S. Xu

    (Duke University Medical Center)

  • Andrea Walens

    (Duke University Medical Center)

  • Yvonne M. Mowery

    (Duke University Medical Center)

  • David Van Mater

    (Duke University Medical Center)

  • William C. Eward

    (Duke University)

  • Diana M. Cardona

    (Duke University)

  • Lixia Luo

    (Duke University Medical Center)

  • Yan Ma

    (Duke University Medical Center)

  • Omar M. Lopez

    (Duke University Medical Center)

  • Christopher E. Nelson

    (Duke University
    Duke Center for Genomic and Computational Biology, Duke University)

  • Jacqueline N. Robinson-Hamm

    (Duke University
    Duke Center for Genomic and Computational Biology, Duke University)

  • Anupama Reddy

    (Duke Center for Genomic and Computational Biology, Duke University)

  • Sandeep S. Dave

    (Duke Center for Genomic and Computational Biology, Duke University
    Duke University Medical Center)

  • Charles A. Gersbach

    (Duke University
    Duke Center for Genomic and Computational Biology, Duke University)

  • Rebecca D. Dodd

    (Duke University Medical Center
    Present address: Department of Internal Medicine, University of Iowa, Iowa City, Iowa 52242, USA)

  • David G. Kirsch

    (Duke University Medical Center
    Duke University Medical Center)

Abstract

Genetically engineered mouse models that employ site-specific recombinase technology are important tools for cancer research but can be costly and time-consuming. The CRISPR-Cas9 system has been adapted to generate autochthonous tumours in mice, but how these tumours compare to tumours generated by conventional recombinase technology remains to be fully explored. Here we use CRISPR-Cas9 to generate multiple subtypes of primary sarcomas efficiently in wild type and genetically engineered mice. These data demonstrate that CRISPR-Cas9 can be used to generate multiple subtypes of soft tissue sarcomas in mice. Primary sarcomas generated with CRISPR-Cas9 and Cre recombinase technology had similar histology, growth kinetics, copy number variation and mutational load as assessed by whole exome sequencing. These results show that sarcomas generated with CRISPR-Cas9 technology are similar to sarcomas generated with conventional modelling techniques and suggest that CRISPR-Cas9 can be used to more rapidly generate genotypically and phenotypically similar cancers.

Suggested Citation

  • Jianguo Huang & Mark Chen & Melodi Javid Whitley & Hsuan-Cheng Kuo & Eric S. Xu & Andrea Walens & Yvonne M. Mowery & David Van Mater & William C. Eward & Diana M. Cardona & Lixia Luo & Yan Ma & Omar M, 2017. "Generation and comparison of CRISPR-Cas9 and Cre-mediated genetically engineered mouse models of sarcoma," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15999
    DOI: 10.1038/ncomms15999
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