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Updated: Jul 15, 2026
08:25
Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
Biosensors for Circular RNA Profiling in Biological Matrices.
Alessandra Glovi1,2, Panagiota M Kalligosfyri2, Antonella Miglione3
1Scuola Superiore Meridionale, University of Naples Federico II, 80131 Naples, Italy.
Analytical Chemistry
|July 13, 2026
Summary
Circular RNAs (ribonucleic acids) show promise for early disease detection due to their stability and presence in biofluids. Emerging biosensor technologies offer rapid, noninvasive detection, advancing proactive healthcare.
Area of Science:
- Biochemistry
- Molecular Biology
- Biotechnology
Background:
- Early disease detection is challenging due to silent, long-term disease development.
- Circular RNAs (circRNAs) are stable biomarker candidates found in biofluids, enabling noninvasive molecular monitoring.
- Conventional circRNA detection methods are limited by complex laboratory requirements, hindering point-of-care applications.
Purpose of the Study:
- To critically evaluate emerging biosensing strategies for circRNA detection.
- To discuss current challenges and provide guidelines for selecting circRNA biomarkers and detection methods.
- To accelerate translational research for next-generation diagnostics and proactive healthcare.
Main Methods:
- Review and critical evaluation of advanced biosensor technologies for circRNA detection.
- Integration of nanomaterials, enzymatic amplification, and microfluidic/portable devices.
- Analysis of disease-specific expression patterns and presence of circRNAs in biofluids.
Main Results:
- Biosensor technologies enable rapid, sensitive, and specific circRNA detection without complex equipment.
- Nanomaterial integration, enzymatic amplification, and portable devices enhance biosensor performance.
- Emerging strategies facilitate noninvasive monitoring of molecular signatures for disease detection.
Conclusions:
- Advanced biosensor designs integrated with circRNA biology can accelerate the development of next-generation diagnostics.
- This work guides the selection of circRNA biomarkers and detection methods for early disease detection.
- The findings support a shift towards proactive healthcare through improved diagnostic capabilities.
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