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08:25
Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
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Biclustering of transcriptome sequencing data reveals human tissue-specific circular RNAs
Yu-Chen Liu1, Yu-Jung Chiu2, Jian-Rong Li2
1Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, 300, Taiwan.
BMC Genomics
|January 25, 2018
Summary
Researchers identified thousands of novel tissue-specific circular RNAs (circRNAs) by analyzing transcriptome data. These circRNAs, not random byproducts, have functional roles and can serve as potential diagnostic biomarkers.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Circular RNAs (circRNAs) exhibit tissue-specific expression patterns.
- Global identification of human tissue-specific circRNAs is essential for understanding their function.
- Tissue-specific circRNAs hold potential as diagnostic biomarkers.
Purpose of the Study:
- To identify novel human tissue-specific circRNAs.
- To investigate the functional significance of circRNA expression.
- To discover potential diagnostic biomarkers from circRNA expression profiles.
Main Methods:
- Analyzed 465 public transcriptome sequencing samples.
- Identified circRNA back-splicing junctions.
- Normalized junction reads by read length and sequence depth.
- Applied biclustering algorithm to generate 66 models for enriched circRNAs.
Main Results:
- Discovered thousands of newly identified human tissue-specific circRNAs.
- Demonstrated that circRNA expression is not due to random splicing errors.
- Identified circRNAs enriched in the circulating system.
Conclusions:
- CircRNA expression suggests specific molecular functional roles.
- Tissue-specific and circulating circRNAs are promising candidates for diagnostic biomarkers.
- This study expands the landscape of known human circRNAs and their potential applications.
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