Simultaneous and sensitive detection of two tumor-related circRNAs by enzyme-free isothermal amplification assisted

Xing Geng1, Shuang Tang1, Jianan Lv1

  • 1School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, PR China.

Talanta
|December 13, 2025
PubMed

Insights

This study introduces an enzyme-free method for detecting cancer-related circular RNAs (circRNAs) using catalytic hairpin assembly and microchip electrophoresis. The novel approach offers sensitive and simultaneous detection of specific circRNAs in biological samples.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Analytical Chemistry

Background:

  • Circular RNAs (circRNAs) are non-coding RNAs with a unique covalently closed structure.
  • CircRNAs play significant roles in human cancers and serve as potential tumor markers.
  • Accurate and sensitive detection of specific circRNAs is crucial for cancer diagnostics.

Purpose of the Study:

  • To develop an enzyme-free strategy for simultaneous detection of circMTO1 and circCDYL.
  • To combine Catalytic Hairpin Assembly (CHA) with Microchip Electrophoresis (MCE) for enhanced circRNA analysis.
  • To establish a sensitive and accurate method for circRNA detection in biological samples.

Main Methods:

  • An enzyme-free strategy utilizing Catalytic Hairpin Assembly (CHA) was employed.
  • Well-designed hairpin probes specifically recognized the back-splicing junction (BSJ) of target circRNAs.
  • Microchip Electrophoresis (MCE) was used for separation and sensitive detection of CHA products.

Main Results:

  • Simultaneous detection of circMTO1 and circCDYL was achieved.
  • The method demonstrated high sensitivity with limits of detection as low as 2.13 pM for circMTO1 and 1.68 pM for circCDYL.
  • The approach was successfully validated in HeLa cells, showing excellent applicability and accuracy.

Conclusions:

  • The developed CHA-MCE method provides a sensitive, enzyme-free, and simultaneous approach for circRNA detection.
  • This strategy holds promise for the development of novel diagnostic tools for cancer.
  • The method's applicability in biological samples highlights its potential for clinical use.

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