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Sensitive detection of a bacterial pathogen using allosteric probe-initiated catalysis and CRISPR-Cas13a amplification reaction

Author

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  • Jinjin Shen

    (MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University
    College of Biophotonics, South China Normal University)

  • Xiaoming Zhou

    (School of Life Sciences, South China Normal University)

  • Yuanyue Shan

    (MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University
    College of Biophotonics, South China Normal University)

  • Huahua Yue

    (MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University
    College of Biophotonics, South China Normal University)

  • Ru Huang

    (MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University
    College of Biophotonics, South China Normal University)

  • Jiaming Hu

    (MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University
    College of Biophotonics, South China Normal University)

  • Da Xing

    (MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University
    College of Biophotonics, South China Normal University)

Abstract

The ability to detect low numbers of microbial cells in food and clinical samples is highly valuable but remains a challenge. Here we present a detection system (called ‘APC-Cas’) that can detect very low numbers of a bacterial pathogen without isolation, using a three-stage amplification to generate powerful fluorescence signals. APC-Cas involves a combination of nucleic acid-based allosteric probes and CRISPR-Cas13a components. It can selectively and sensitively quantify Salmonella Enteritidis cells (from 1 to 105 CFU) in various types of samples such as milk, showing similar or higher sensitivity and accuracy compared with conventional real-time PCR. Furthermore, APC-Cas can identify low numbers of S. Enteritidis cells in mouse serum, distinguishing mice with early- and late-stage infection from uninfected mice. Our method may have potential clinical applications for early diagnosis of pathogens.

Suggested Citation

  • Jinjin Shen & Xiaoming Zhou & Yuanyue Shan & Huahua Yue & Ru Huang & Jiaming Hu & Da Xing, 2020. "Sensitive detection of a bacterial pathogen using allosteric probe-initiated catalysis and CRISPR-Cas13a amplification reaction," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-14135-9
    DOI: 10.1038/s41467-019-14135-9
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    Cited by:

    1. S. W. Jun & Y. H. Ahn, 2022. "Terahertz thermal curve analysis for label-free identification of pathogens," Nature Communications, Nature, vol. 13(1), pages 1-8, December.

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