Application of CRISPR/Cas12a in miRNA-155 detection: A novel homogeneous electrochemiluminescence biosensor

Yuanxun Gong1, Hongyu Zeng1, Sisi Gao1

  • 1Guangxi Key Laboratory for Preclinical and Translational Research on Bone and Joint Degenerative Diseases, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China.

PubMed
Abstract

Insights

A novel CRISPR/Cas12a-based electrochemiluminescence biosensor offers sensitive and efficient microRNA detection. This method simplifies processes and shows promise for early cancer diagnostics.

Area of Science:

  • Biotechnology
  • Molecular Biology
  • Biosensor Technology

Background:

  • MicroRNAs (miRNAs) regulate gene expression and are implicated in various biological processes and diseases like cancer.
  • Conventional miRNA detection methods often lack sensitivity and efficiency.
  • There is a need for rapid, sensitive, and accurate miRNA detection strategies.

Purpose of the Study:

  • To develop an innovative homogeneous electrochemiluminescence (ECL) biosensor for accurate and efficient microRNA (miRNA) detection.
  • To overcome the limitations of conventional miRNA detection techniques.

Main Methods:

  • Utilized CRISPR/Cas12a gene editing technology for miRNA detection.
  • Employed a homogeneous detection format, eliminating laborious probe fixation.
  • Incorporated isothermal amplification and T7 RNA polymerase amplification for enhanced sensitivity and specificity.

Main Results:

  • Developed a novel homogeneous ECL biosensor for miRNA detection.
  • Achieved an extremely low detection limit of 1.27 aM.
  • Demonstrated high sensitivity, specificity, reproducibility, and stability in detecting miRNAs from biological samples like cell lysates and human serum.

Conclusions:

  • The biosensor shows potential for early cancer detection and monitoring by distinguishing between cancerous and non-cancerous cell lines.
  • This approach offers a user-friendly, cost-effective, and sensitive solution for clinical diagnosis.
  • The technology has broad implications for patient care, particularly in point-of-care settings.