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

被引:0
|
作者
Jinjin Shen
Xiaoming Zhou
Yuanyue Shan
Huahua Yue
Ru Huang
Jiaming Hu
Da Xing
机构
[1] MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science,
[2] South China Normal University,undefined
[3] College of Biophotonics,undefined
[4] South China Normal University,undefined
[5] School of Life Sciences,undefined
[6] South China Normal University,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 50 条
  • [1] Sensitive detection of a bacterial pathogen using allosteric probe-initiated catalysis and CRISPR-Cas13a amplification reaction
    Shen, Jinjin
    Zhou, Xiaoming
    Shan, Yuanyue
    Yue, Huahua
    Huang, Ru
    Hu, Jiaming
    Xing, Da
    NATURE COMMUNICATIONS, 2020, 11 (01)
  • [2] Rapid and Sensitive Detection of Salmonella spp. Using CRISPR-Cas13a Combined With Recombinase Polymerase Amplification
    An, Bailin
    Zhang, Hongbin
    Su, Xuan
    Guo, Yue
    Wu, Tao
    Ge, Yiyue
    Zhu, Fengcai
    Cui, Lunbiao
    FRONTIERS IN MICROBIOLOGY, 2021, 12
  • [3] Sensitive detection of foodborne pathogens based on CRISPR-Cas13a
    Gao, Song
    Liu, Jingwen
    Li, Zhiyong
    Ma, Yi
    Wang, Jufang
    JOURNAL OF FOOD SCIENCE, 2021, 86 (06) : 2615 - 2625
  • [4] CRISPR-Cas13a based bacterial detection platform: Sensing pathogen Staphylococcus aureus in food samples
    Zhou, Jin
    Yin, Lijuan
    Dong, Yanan
    Peng, Lei
    Liu, Guozhen
    Man, Shuli
    Ma, Long
    ANALYTICA CHIMICA ACTA, 2020, 1127 : 225 - 233
  • [5] Allosteric Probe-Initiated Wash-Free Method for Sensitive Extracellular Vesicle Detection through Dual Cycle-Assisted CRISPR-Cas12a
    Zhao, Xianxian
    Zeng, Leili
    Mei, Qiang
    Luo, Yang
    ACS SENSORS, 2020, 5 (07) : 2239 - 2246
  • [6] Amplification-free CRISPR-Cas13a assay for detection of Taura syndrome virus
    Liu, Jianying
    Li, Ye
    Cao, Hubei
    Yao, Sisi
    Hu, Keshun
    Zhao, Qian
    He, Runzhen
    Zhu, Ningyu
    Yu, Xiaoping
    Fang, Shaohua
    Huang, Jun
    AQUACULTURE REPORTS, 2023, 30
  • [7] Rapid and Highly Sensitive Detection of Mycobacterium tuberculosis Utilizing the Recombinase Aided Amplification-Based CRISPR-Cas13a System
    Li, Qiao
    Wang, Nenhan
    Pang, Mengdi
    Miao, Honghao
    Dai, Xiaowei
    Li, Bo
    Yang, Xinyu
    Li, Chuanyou
    Liu, Yi
    MICROORGANISMS, 2024, 12 (08)
  • [8] Allosteric probe-triggered isothermal amplification to activate CRISPR/Cas12a for sensitive electrochemiluminescence detection of Salmonella
    Wang, Chunyan
    Zhang, Yutian
    Liu, Shanshan
    Yin, Yashi
    Fan, Gao-Chao
    Shen, Yizhong
    Han, Heyou
    Wang, Wenjing
    FOOD CHEMISTRY, 2023, 425
  • [9] Specific and sensitive detection of bovine coronavirus using CRISPR-Cas13a combined with RT-RAA technology
    Liang, Zili
    Luo, Ruxing
    He, Qifu
    Tang, Cheng
    Zhang, Zhidong
    Li, Yanmin
    Guo, Zijing
    FRONTIERS IN VETERINARY SCIENCE, 2025, 11
  • [10] A Sensitive Nucleic Acid Detection Platform for Foodborne Pathogens Based on CRISPR-Cas13a System Combined with Polymerase Chain Reaction
    Liu, Rui
    Ali, Shujat
    Huang, Dong
    Zhang, Yunlian
    Lu, Peng
    Chen, Quansheng
    FOOD ANALYTICAL METHODS, 2023, 16 (02) : 356 - 366