IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-34086-y.html
   My bibliography  Save this article

Microfluidic space coding for multiplexed nucleic acid detection via CRISPR-Cas12a and recombinase polymerase amplification

Author

Listed:
  • Zhichen Xu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Dongjuan Chen

    (Huazhong University of Science and Technology)

  • Tao Li

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Jiayu Yan

    (Chinese Academy of Sciences
    China University of Geosciences)

  • Jiang Zhu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Ting He

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Rui Hu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Ying Li

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yunhuang Yang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Maili Liu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

Abstract

Fast, inexpensive, and multiplexed detection of multiple nucleic acids is of great importance to human health, yet it still represents a significant challenge. Herein, we propose a nucleic acid testing platform, named MiCaR, which couples a microfluidic device with CRISPR-Cas12a and multiplex recombinase polymerase amplification. With only one fluorescence probe, MiCaR can simultaneously test up to 30 nucleic acid targets through microfluidic space coding. The detection limit achieves 0.26 attomole, and the multiplexed assay takes only 40 min. We demonstrate the utility of MiCaR by efficiently detecting the nine HPV subtypes targeted by the 9-valent HPV vaccine, showing a sensitivity of 97.8% and specificity of 98.1% in the testing of 100 patient samples at risk for HPV infection. Additionally, we also show the generalizability of our approach by successfully testing eight of the most clinically relevant respiratory viruses. We anticipate this effective, undecorated and versatile platform to be widely used in multiplexed nucleic acid detection.

Suggested Citation

  • Zhichen Xu & Dongjuan Chen & Tao Li & Jiayu Yan & Jiang Zhu & Ting He & Rui Hu & Ying Li & Yunhuang Yang & Maili Liu, 2022. "Microfluidic space coding for multiplexed nucleic acid detection via CRISPR-Cas12a and recombinase polymerase amplification," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34086-y
    DOI: 10.1038/s41467-022-34086-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-34086-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-34086-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Xiong Ding & Kun Yin & Ziyue Li & Rajesh V. Lalla & Enrique Ballesteros & Maroun M. Sfeir & Changchun Liu, 2020. "Ultrasensitive and visual detection of SARS-CoV-2 using all-in-one dual CRISPR-Cas12a assay," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    2. Cheri M. Ackerman & Cameron Myhrvold & Sri Gowtham Thakku & Catherine A. Freije & Hayden C. Metsky & David K. Yang & Simon H. Ye & Chloe K. Boehm & Tinna-Sólveig F. Kosoko-Thoroddsen & Jared Kehe & Ti, 2020. "Massively multiplexed nucleic acid detection with Cas13," Nature, Nature, vol. 582(7811), pages 277-282, June.
    3. Gilberto A. Santiago & Jesús Vázquez & Sean Courtney & Katia Y. Matías & Lauren E. Andersen & Candimar Colón & Angela E. Butler & Rebecca Roulo & John Bowzard & Julie M. Villanueva & Jorge L. Muñoz-Jo, 2018. "Performance of the Trioplex real-time RT-PCR assay for detection of Zika, dengue, and chikungunya viruses," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yunxiang Wang & Hong Chen & Kai Lin & Yongjun Han & Zhixia Gu & Hongjuan Wei & Kai Mu & Dongfeng Wang & Liyan Liu & Ronghua Jin & Rui Song & Zhen Rong & Shengqi Wang, 2024. "Ultrasensitive single-step CRISPR detection of monkeypox virus in minutes with a vest-pocket diagnostic device," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeong Moon & Changchun Liu, 2023. "Asymmetric CRISPR enabling cascade signal amplification for nucleic acid detection by competitive crRNA," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Margot Karlikow & Evan Amalfitano & Xiaolong Yang & Jennifer Doucet & Abigail Chapman & Peivand Sadat Mousavi & Paige Homme & Polina Sutyrina & Winston Chan & Sofia Lemak & Alexander F. Yakunin & Adam, 2023. "CRISPR-induced DNA reorganization for multiplexed nucleic acid detection," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Jiongyu Zhang & Chengyu Hou & Changchun Liu, 2024. "CRISPR-powered quantitative keyword search engine in DNA data storage," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    4. Sri Gowtham Thakku & Jackson Lirette & Kanagavel Murugesan & Julie Chen & Grant Theron & Niaz Banaei & Paul C. Blainey & James Gomez & Sharon Y. Wong & Deborah T. Hung, 2023. "Genome-wide tiled detection of circulating Mycobacterium tuberculosis cell-free DNA using Cas13," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    5. Andrew Bo Liu & Daniel Lee & Amogh Prabhav Jalihal & William P. Hanage & Michael Springer, 2023. "Quantitatively assessing early detection strategies for mitigating COVID-19 and future pandemics," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    6. Xiaolong Cheng & Zexu Li & Ruocheng Shan & Zihan Li & Shengnan Wang & Wenchang Zhao & Han Zhang & Lumen Chao & Jian Peng & Teng Fei & Wei Li, 2023. "Modeling CRISPR-Cas13d on-target and off-target effects using machine learning approaches," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    7. Huang, Fengfeng & Guo, Pengfei & Wang, Yulan, 2022. "Optimal group testing strategy for the mass screening of SARS-CoV-2," Omega, Elsevier, vol. 112(C).
    8. Yunxiang Wang & Hong Chen & Kai Lin & Yongjun Han & Zhixia Gu & Hongjuan Wei & Kai Mu & Dongfeng Wang & Liyan Liu & Ronghua Jin & Rui Song & Zhen Rong & Shengqi Wang, 2024. "Ultrasensitive single-step CRISPR detection of monkeypox virus in minutes with a vest-pocket diagnostic device," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    9. Yinqiu Ji & Christopher C. M. Baker & Viorel D. Popescu & Jiaxin Wang & Chunying Wu & Zhengyang Wang & Yuanheng Li & Lin Wang & Chaolang Hua & Zhongxing Yang & Chunyan Yang & Charles C. Y. Xu & Alex D, 2022. "Measuring protected-area effectiveness using vertebrate distributions from leech iDNA," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34086-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.