Title |
Genome modification of CXCR4 by Staphylococcus aureus Cas9 renders cells resistance to HIV-1 infection
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Published in |
Retrovirology, November 2017
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DOI | 10.1186/s12977-017-0375-0 |
Pubmed ID | |
Authors |
Qiankun Wang, Shuliang Chen, Qiaoqiao Xiao, Zhepeng Liu, Shuai Liu, Panpan Hou, Li Zhou, Wei Hou, Wenzhe Ho, Chunmei Li, Li Wu, Deyin Guo |
Abstract |
The CRISPR/Cas9 system has been widely used for genome editing in mammalian cells. CXCR4 is a co-receptor for human immunodeficiency virus type 1 (HIV-1) entry, and loss of CXCR4 function can protect cells from CXCR4 (X4)-tropic HIV-1 infection, making CXCR4 an important target for HIV-1 gene therapy. However, the large size of the CRISPR/SpCas9 system presents an obstacle to its efficient delivery into primary CD4(+) T cells. Recently, a small Staphylococcus aureus Cas9 (SaCas9) has been developed as a genome editing tool can address this question. Therefore, it provides a promising strategy for HIV-1 gene therapy if it is used to target CXCR4. Here, we employed a short version of Cas9 from Staphylococcus aureus (SaCas9) for targeting CXCR4. We demonstrated that transduction of lenti-virus expressing SaCas9 and selected single-guided RNAs of CXCR4 in human CD4(+) T cell lines efficiently induced the editing of the CXCR4 gene, making these cell lines resistant to X4-tropic HIV-1 infection. Moreover, we efficiently transduced primary human CD4(+) T cells using adeno-associated virus-delivered CRISPR/SaCas9 and disrupted CXCR4 expression. We also showed that CXCR4-edited primary CD4(+) T cells proliferated normally and were resistant to HIV-1 infection. Our study provides a basis for possible application of CXCR4-targeted genome editing by CRISPR/SaCas9 in HIV-1 gene therapy. |
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Geographical breakdown
Country | Count | As % |
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France | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
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Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
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Unknown | 73 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 15 | 21% |
Student > Ph. D. Student | 13 | 18% |
Researcher | 8 | 11% |
Student > Master | 6 | 8% |
Student > Postgraduate | 3 | 4% |
Other | 5 | 7% |
Unknown | 23 | 32% |
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Immunology and Microbiology | 11 | 15% |
Medicine and Dentistry | 8 | 11% |
Agricultural and Biological Sciences | 5 | 7% |
Engineering | 2 | 3% |
Other | 6 | 8% |
Unknown | 23 | 32% |