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Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
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Investigating Circular RNAs Using qRT-PCR; Roundup of Optimization and Processing Steps.
Rares Drula1, Cornelia Braicu1, Sergiu Chira1
1Research Center for Functional Genomics, Biomedicine and Translational Medicine, "Iuliu Haţieganu" University of Medicine and Pharmacy, 15 Victor Babeș Street, 400012 Cluj-Napoca, Romania.
International Journal of Molecular Sciences
|March 29, 2023
Summary
This study addresses variability in circular RNA (circRNA) research by providing bioinformatic and in vitro methods. It aims to standardize circRNA quantification and miRNA interaction analysis for disease research and biomarker discovery.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Circular RNAs (circRNAs) are increasingly recognized for their roles in human diseases.
- Their function as miRNA sponges influences gene expression, but research methods lack standardization.
- Variability in circRNA quantification and validation, particularly with qRT-PCR, hinders replicability.
Purpose of the Study:
- To offer insights into bioinformatic data for experimental design in circRNA research.
- To highlight key aspects of circRNA annotation, primer design, and processing.
- To provide guidance on exploring circRNA-miRNA interactions for functional studies.
Main Methods:
- Bioinformatic analysis of circRNA databases and annotation.
- Divergent primer design for circRNA detection.
- Optimization of RNAse R treatment and circRNA enrichment assessment.
- Exploration of circRNA-miRNA interactions.
Main Results:
- The study provides a framework for experimental design in circRNA research.
- It details methods for optimizing circRNA enrichment and validation.
- It offers insights into analyzing circRNA-miRNA interactions.
Conclusions:
- Standardizing circRNA research methods is crucial for advancing the field.
- This work contributes to methodological consensus in circRNA investigation.
- Improved methods can facilitate the discovery of therapeutic targets and biomarkers.
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