Mesophilic Argonaute-Mediated Polydisperse Droplet Biosensor for Amplification-Free, One-Pot, and Multiplexed Nucleic Acid Detection Using Deep Learning.

Journal: Analytical chemistry
PMID:

Abstract

Detection of nucleic acids from a single multiplexed and amplification-free test is critical for ensuring food safety, clinical diagnostics, and environmental monitoring. In this study, we introduced a mesophilic Argonaute protein from (CbAgo), which exhibits nucleic acid endonuclease activity, to achieve a programmable, amplification-free system (PASS) for rapid nucleic acid quantification at ambient temperatures in one pot. By using CbAgo-mediated binding with specific guide DNA (gDNA) and subsequent targeted cleavage of wild-type target DNAs complementary to gDNA, PASS can detect multiple foodborne pathogen DNA (<10 CFU/mL) simultaneously. The fluorescence signals were then transferred to polydisperse emulsions and analyzed by using deep learning. This simplifies the process and increases the suitability of polydisperse emulsions compared to traditional digital PCR, which requires homogeneous droplets for accurate detection. We believe that PASS has the potential to become a next-generation point-of-care digital nucleic acid detection method.

Authors

  • Zhipan Wang
    College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.
  • Niu Feng
    College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.
  • Yanan Zhou
    Shanghai Institute of Infectious Disease and Biosecurity, Fudan University Shanghai 200032 China.
  • Xinrui Cheng
    College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.
  • Cuiyun Zhou
    College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.
  • Aimin Ma
    College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.
  • Qinyu Wang
    Department of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430000, Hubei China.
  • Yingjun Li
    State Key Laboratory of Agricultural Microbiology and College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.
  • Yiping Chen
    Beijing Engineering Research Center for BioNanotechnology & CAS Key Laboratory for Biological Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Beijing 100190, PR China. Electronic address: chenyp@nanoctr.cn.