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Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors

Author

Listed:
  • Julian Grünewald

    (Massachusetts General Hospital
    Massachusetts General Hospital
    Massachusetts General Hospital
    Harvard Medical School)

  • Ronghao Zhou

    (Massachusetts General Hospital
    Massachusetts General Hospital
    Massachusetts General Hospital)

  • Sara P. Garcia

    (Massachusetts General Hospital)

  • Sowmya Iyer

    (Massachusetts General Hospital)

  • Caleb A. Lareau

    (Massachusetts General Hospital
    Harvard T. H. Chan School of Public Health)

  • Martin J. Aryee

    (Massachusetts General Hospital
    Massachusetts General Hospital
    Massachusetts General Hospital
    Harvard Medical School)

  • J. Keith Joung

    (Massachusetts General Hospital
    Massachusetts General Hospital
    Massachusetts General Hospital
    Harvard Medical School)

Abstract

CRISPR–Cas base-editor technology enables targeted nucleotide alterations, and is being increasingly used for research and potential therapeutic applications1,2. The most widely used cytosine base editors (CBEs) induce deamination of DNA cytosines using the rat APOBEC1 enzyme, which is targeted by a linked Cas protein–guide RNA complex3,4. Previous studies of the specificity of CBEs have identified off-target DNA edits in mammalian cells5,6. Here we show that a CBE with rat APOBEC1 can cause extensive transcriptome-wide deamination of RNA cytosines in human cells, inducing tens of thousands of C-to-U edits with frequencies ranging from 0.07% to 100% in 38–58% of expressed genes. CBE-induced RNA edits occur in both protein-coding and non-protein-coding sequences and generate missense, nonsense, splice site, and 5′ and 3′ untranslated region mutations. We engineered two CBE variants bearing mutations in rat APOBEC1 that substantially decreased the number of RNA edits (by more than 390-fold and more than 3,800-fold) in human cells. These variants also showed more precise on-target DNA editing than the wild-type CBE and, for most guide RNAs tested, no substantial reduction in editing efficiency. Finally, we show that an adenine base editor7 can also induce transcriptome-wide RNA edits. These results have implications for the use of base editors in both research and clinical settings, illustrate the feasibility of engineering improved variants with reduced RNA editing activities, and suggest the need to more fully define and characterize the RNA off-target effects of deaminase enzymes in base editor platforms.

Suggested Citation

  • Julian Grünewald & Ronghao Zhou & Sara P. Garcia & Sowmya Iyer & Caleb A. Lareau & Martin J. Aryee & J. Keith Joung, 2019. "Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors," Nature, Nature, vol. 569(7756), pages 433-437, May.
  • Handle: RePEc:nat:nature:v:569:y:2019:i:7756:d:10.1038_s41586-019-1161-z
    DOI: 10.1038/s41586-019-1161-z
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    Citations

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    Cited by:

    1. Mu Li & Aaron Zhong & Youjun Wu & Mega Sidharta & Michael Beaury & Xiaolan Zhao & Lorenz Studer & Ting Zhou, 2022. "Transient inhibition of p53 enhances prime editing and cytosine base-editing efficiencies in human pluripotent stem cells," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Shuqian Zhang & Bo Yuan & Jixin Cao & Liting Song & Jinlong Chen & Jiayi Qiu & Zilong Qiu & Xing-Ming Zhao & Jingqi Chen & Tian-Lin Cheng, 2023. "TadA orthologs enable both cytosine and adenine editing of base editors," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. Junhao Fu & Qing Li & Xiaoyu Liu & Tianxiang Tu & Xiujuan Lv & Xidi Yin & Jineng Lv & Zongming Song & Jia Qu & Jinwei Zhang & Jinsong Li & Feng Gu, 2021. "Human cell based directed evolution of adenine base editors with improved efficiency," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    4. Aaron A. Smargon & Assael A. Madrigal & Brian A. Yee & Kevin D. Dong & Jasmine R. Mueller & Gene W. Yeo, 2022. "Crosstalk between CRISPR-Cas9 and the human transcriptome," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    5. Shuqian Zhang & Liting Song & Bo Yuan & Cheng Zhang & Jixin Cao & Jinlong Chen & Jiayi Qiu & Yilin Tai & Jingqi Chen & Zilong Qiu & Xing-Ming Zhao & Tian-Lin Cheng, 2023. "TadA reprogramming to generate potent miniature base editors with high precision," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    6. Qiao Liu & Di He & Lei Xie, 2019. "Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-22, October.

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