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CRISPR/Cas9 gRNA activity depends on free energy changes and on the target PAM context

Author

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  • Giulia I. Corsi

    (University of Copenhagen)

  • Kunli Qu

    (Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao
    University of Copenhagen)

  • Ferhat Alkan

    (University of Copenhagen
    The Netherlands Cancer Institute)

  • Xiaoguang Pan

    (Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao)

  • Yonglun Luo

    (Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao
    BGI-Shenzhen
    Aarhus University
    Aarhus University Hospital)

  • Jan Gorodkin

    (University of Copenhagen)

Abstract

A major challenge of CRISPR/Cas9-mediated genome engineering is that not all guide RNAs (gRNAs) cleave the DNA efficiently. Although the heterogeneity of gRNA activity is well recognized, the current understanding of how CRISPR/Cas9 activity is regulated remains incomplete. Here, we identify a sweet spot range of binding free energy change for optimal efficiency which largely explains why gRNAs display changes in efficiency at on- and off-target sites, including why gRNAs can cleave an off-target with higher efficiency than the on-target. Using an energy-based model, we show that local gRNA-DNA interactions resulting from Cas9 “sliding” on overlapping protospacer adjacent motifs (PAMs) profoundly impact gRNA activities. Combining the effects of local sliding for a given PAM context with global off-targets allows us to better identify highly specific, and thus efficient, gRNAs. We validate the effects of local sliding on gRNA efficiency using both public data and in-house data generated by measuring SpCas9 cleavage efficiency at 1024 sites designed to cover all possible combinations of 4-nt PAM and context sequences of 4 gRNAs. Our results provide insights into the mechanisms of Cas9-PAM compatibility and cleavage activation, underlining the importance of accounting for local sliding in gRNA design.

Suggested Citation

  • Giulia I. Corsi & Kunli Qu & Ferhat Alkan & Xiaoguang Pan & Yonglun Luo & Jan Gorodkin, 2022. "CRISPR/Cas9 gRNA activity depends on free energy changes and on the target PAM context," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30515-0
    DOI: 10.1038/s41467-022-30515-0
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    as
    1. Rongjie Fu & Wei He & Jinzhuang Dou & Oscar D. Villarreal & Ella Bedford & Helen Wang & Connie Hou & Liang Zhang & Yalong Wang & Dacheng Ma & Yiwen Chen & Xue Gao & Martin Depken & Han Xu, 2022. "Systematic decomposition of sequence determinants governing CRISPR/Cas9 specificity," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Johnny H. Hu & Shannon M. Miller & Maarten H. Geurts & Weixin Tang & Liwei Chen & Ning Sun & Christina M. Zeina & Xue Gao & Holly A. Rees & Zhi Lin & David R. Liu, 2018. "Evolved Cas9 variants with broad PAM compatibility and high DNA specificity," Nature, Nature, vol. 556(7699), pages 57-63, April.
    3. Jungjoon K. Lee & Euihwan Jeong & Joonsun Lee & Minhee Jung & Eunji Shin & Young-hoon Kim & Kangin Lee & Inyoung Jung & Daesik Kim & Seokjoong Kim & Jin-Soo Kim, 2018. "Directed evolution of CRISPR-Cas9 to increase its specificity," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    4. Summer B. Thyme & Laila Akhmetova & Tessa G. Montague & Eivind Valen & Alexander F. Schier, 2016. "Internal guide RNA interactions interfere with Cas9-mediated cleavage," Nature Communications, Nature, vol. 7(1), pages 1-7, September.
    5. Daqi Wang & Chengdong Zhang & Bei Wang & Bin Li & Qiang Wang & Dong Liu & Hongyan Wang & Yan Zhou & Leming Shi & Feng Lan & Yongming Wang, 2019. "Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    6. Xi Xiang & Giulia I. Corsi & Christian Anthon & Kunli Qu & Xiaoguang Pan & Xue Liang & Peng Han & Zhanying Dong & Lijun Liu & Jiayan Zhong & Tao Ma & Jinbao Wang & Xiuqing Zhang & Hui Jiang & Fengping, 2021. "Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    7. Benjamin P. Kleinstiver & Michelle S. Prew & Shengdar Q. Tsai & Ved V. Topkar & Nhu T. Nguyen & Zongli Zheng & Andrew P. W. Gonzales & Zhuyun Li & Randall T. Peterson & Jing-Ruey Joanna Yeh & Martin J, 2015. "Engineered CRISPR-Cas9 nucleases with altered PAM specificities," Nature, Nature, vol. 523(7561), pages 481-485, July.
    8. Samuel H. Sternberg & Benjamin LaFrance & Matias Kaplan & Jennifer A. Doudna, 2015. "Conformational control of DNA target cleavage by CRISPR–Cas9," Nature, Nature, vol. 527(7576), pages 110-113, November.
    9. E. A. Moreb & M. D. Lynch, 2021. "Genome dependent Cas9/gRNA search time underlies sequence dependent gRNA activity," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    10. Janice S. Chen & Yavuz S. Dagdas & Benjamin P. Kleinstiver & Moira M. Welch & Alexander A. Sousa & Lucas B. Harrington & Samuel H. Sternberg & J. Keith Joung & Ahmet Yildiz & Jennifer A. Doudna, 2017. "Enhanced proofreading governs CRISPR–Cas9 targeting accuracy," Nature, Nature, vol. 550(7676), pages 407-410, October.
    11. Cong Huai & Gan Li & Ruijie Yao & Yingyi Zhang & Mi Cao & Liangliang Kong & Chenqiang Jia & Hui Yuan & Hongyan Chen & Daru Lu & Qiang Huang, 2017. "Structural insights into DNA cleavage activation of CRISPR-Cas9 system," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    12. Charles R. Harris & K. Jarrod Millman & Stéfan J. Walt & Ralf Gommers & Pauli Virtanen & David Cournapeau & Eric Wieser & Julian Taylor & Sebastian Berg & Nathaniel J. Smith & Robert Kern & Matti Picu, 2020. "Array programming with NumPy," Nature, Nature, vol. 585(7825), pages 357-362, September.
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    1. Qinchang Chen & Guohui Chuai & Haihang Zhang & Jin Tang & Liwen Duan & Huan Guan & Wenhui Li & Wannian Li & Jiaying Wen & Erwei Zuo & Qing Zhang & Qi Liu, 2023. "Genome-wide CRISPR off-target prediction and optimization using RNA-DNA interaction fingerprints," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    2. Xiaoguang Pan & Kunli Qu & Hao Yuan & Xi Xiang & Christian Anthon & Liubov Pashkova & Xue Liang & Peng Han & Giulia I. Corsi & Fengping Xu & Ping Liu & Jiayan Zhong & Yan Zhou & Tao Ma & Hui Jiang & J, 2022. "Massively targeted evaluation of therapeutic CRISPR off-targets in cells," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    3. Jason Fontana & David Sparkman-Yager & Ian Faulkner & Ryan Cardiff & Cholpisit Kiattisewee & Aria Walls & Tommy G. Primo & Patrick C. Kinnunen & Hector Garcia Martin & Jesse G. Zalatan & James M. Caro, 2024. "Guide RNA structure design enables combinatorial CRISPRa programs for biosynthetic profiling," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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