Programmable Clostridium perfringens Argonaute-Based, One-Pot Assay for the Multiplex Detection of miRNAs

Qiuyuan Lin1, Yuanwei Cao2, Guobin Han1

  • 1Department of Chemistry, Fudan University, 200438 Shanghai, China.

Analytical Chemistry
|August 11, 2023
PubMed

Insights

This study introduces a novel diagnostic platform for detecting multiple microRNAs (miRNAs) simultaneously. The CpAgo-based One-Pot (COP) assay offers rapid, sensitive, and specific detection, proving effective in distinguishing colorectal cancer patients from healthy individuals.

Area of Science:

  • Biotechnology
  • Molecular Diagnostics
  • Cancer Biomarkers

Background:

  • MicroRNA (miRNA) detection assays often face limitations in multiplexing capabilities within a single reaction tube.
  • Developing sensitive and specific methods for simultaneous detection of multiple miRNAs is crucial for advanced diagnostics.

Purpose of the Study:

  • To develop a general and programmable diagnostic platform for sensitive, single-tube, multiplex miRNA detection.
  • To evaluate the performance of the developed assay in distinguishing cancer patients from healthy individuals.

Main Methods:

  • Integration of mesophilic *Clostridium perfringens* Argonaute (CpAgo) with exponential isothermal amplification (EXPAR) to create a dual-signal amplification strategy.
  • Development of the CpAgo-based One-Pot (COP) assay for simultaneous detection of multiple miRNAs with single-nucleotide discrimination.
  • Application of the COP assay to analyze clinical serum samples for miRNA profiling.

Main Results:

  • The COP assay demonstrated a limit of detection as low as 1 zM miRNA within a 30-minute timeframe.
  • The assay exhibited a wide dynamic range and high specificity, enabling single-nucleotide discrimination.
  • Simultaneous detection of four miRNAs in clinical serum samples successfully differentiated colorectal cancer patients from healthy controls.

Conclusions:

  • The programmable, one-pot, multiplex COP assay provides a rapid and specific method for miRNA detection.
  • This strategy holds significant promise for advancing scientific research and clinical diagnostic applications, particularly in cancer detection.

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