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Updated: Jun 4, 2025

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

Fast and sensitive multivalent spatial pattern-recognition for circular RNA detection.

Zhixin Zhou¹, Bing Han², Yu Wang²

¹School of Chemistry and Chemical Engineering, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing, China.

Nature Communications

|December 31, 2024

Summary

This summary is machine-generated.

We developed a novel tetrahedral DNA framework (TDF) sensor for highly sensitive and rapid detection of circular RNAs (circRNAs). This tool visualizes circRNA expression in neurological conditions and identifies stroke patients.

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Last Updated: Jun 4, 2025

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

Quantification of Circular RNAs Using Digital Droplet PCR

Quantification of Circular RNAs Using Digital Droplet PCR

Published on: September 16, 2022

Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection

Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection

Published on: January 26, 2019

Area of Science:

Biochemistry
Molecular Biology
Biotechnology

Background:

Circular RNAs (circRNAs) have crucial biological roles but are challenging to detect due to low abundance and unique structures.
Existing detection methods for circRNAs are often complex and lack sensitivity.

Purpose of the Study:

To engineer a sensitive and rapid sensor for detecting circular RNAs (circRNAs).
To utilize the sensor for visualizing circRNA dynamics in neurological conditions and clinical diagnostics.

Main Methods:

Development of an intelligent tetrahedral DNA framework (TDF) with spatial pattern-recognition capabilities.
Application of the TDF sensor for real-time visualization of endogenous circRNA expression in vitro and in vivo.
Detection of circRNAs in clinical samples from acute ischemic stroke patients and tracking circRNA delivery in animal models.

Main Results:

The TDF sensor demonstrated high sensitivity and speed for circRNA detection in unamplified samples.
Real-time circRNA expression was visualized in neuronal cells and mouse brains during stroke.
The sensor successfully identified patients with acute ischemic stroke and tracked circRNA delivery.

Conclusions:

The tetrahedral DNA framework (TDF) sensor offers a fast, sensitive, and effective tool for circRNA detection.
This technology has significant potential for diagnosing and monitoring circRNA-related physiological and pathophysiological conditions.