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Updated: Jul 2, 2025
08:25
Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
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State-of-the-Art Circular RNA Analytics Using the Circtools Software Suite
1Department of Internal Medicine and the Translational Cardiovascular Research Center, University of Arizona - College of Medicine - Phoenix, Phoenix, AZ, USA. tjakobi@arizona.edu.
Methods in Molecular Biology (Clifton, N.J.)
|February 21, 2024
Summary
This study introduces a protocol for analyzing circular RNAs (circRNAs) using bioinformatics tools. It details steps for detecting and statistically analyzing these unique RNA molecules from sequencing data.
Area of Science:
- Molecular Biology
- Bioinformatics
- Genomics
Background:
- Circular RNAs (circRNAs) are novel RNA molecules formed by back-splicing, featuring a closed-loop structure.
- Widely expressed in eukaryotes, circRNAs regulate gene expression, splicing, and translation, and are implicated in diseases.
- Their unique structure and diverse functions necessitate robust analytical methods.
Purpose of the Study:
- To provide a comprehensive in silico protocol for the detection and analysis of circRNAs.
- To outline the use of the circtools software suite for analyzing RNA sequencing data.
- To facilitate downstream experimental validation through primer design.
Main Methods:
- Utilizing RNA sequencing data as input.
- Employing the circtools software suite for circRNA detection via back-splicing events.
- Implementing statistical testing for differential circRNA analysis and designing validation primers.
Main Results:
- The protocol successfully identifies and quantifies circRNAs from raw sequencing data.
- Statistical analysis enables the identification of significant circRNAs.
- Primer design facilitates experimental validation of detected circRNAs.
Conclusions:
- This protocol offers a standardized and efficient method for in silico circRNA analysis.
- It bridges computational detection with experimental validation, advancing circRNA research.
- The circtools suite provides a valuable resource for studying circRNA functions and roles in disease.
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