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Updated: Jun 13, 2025

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Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
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A systematic analysis of circRNAs in subnuclear compartments
Andre Brezski1, Justin Murtagh2, Marcel H Schulz2,3,4
1Buchmann Institute for Molecular Life Sciences (BMLS) & Institute of Molecular Biosciences, Goethe University Frankfurt, Frankfurt am Main, Hesse, Germany.
RNA Biology
|September 11, 2024
Summary
We developed Calcifer, a workflow for analyzing circular RNAs (circRNAs). Calcifer reveals circRNAs are mostly cytoplasmic but some are nuclear, and many can be translated.
Area of Science:
- Molecular Biology
- Genomics
- RNA Biology
Background:
- Circular RNAs (circRNAs) are crucial regulatory molecules in human cells, impacting physiology and disease.
- Understanding circRNA biogenesis and localization is key to deciphering their functions.
- Analyzing circRNAs from RNA sequencing data presents significant challenges.
Purpose of the Study:
- To introduce Calcifer, a versatile computational workflow for circRNA annotation.
- To investigate the subcellular distribution of circRNAs using APEX-Seq data.
- To explore the functional potential, including translation, of detected circRNAs.
Main Methods:
- Development of Calcifer, a novel workflow for circRNA identification and analysis.
- Application of Calcifer to APEX-Seq data from whole cells, nuclei, and subnuclear compartments.
- Comparative analysis of circRNA abundance across different cellular locations.
Main Results:
- Calcifer effectively annotates circRNAs from sequencing data.
- CircRNAs are predominantly found in the cytoplasm, with notable exceptions like circCANX(9) enriched in the nucleus.
- CircRNAs are depleted from nuclear speckles, suggesting splicing factor interference with back-splicing.
- A significant proportion of circRNAs possess open reading frames, indicating potential for translation.
Conclusions:
- Calcifer is a user-friendly and robust tool for circRNA research.
- New insights into circRNA subnuclear distribution and potential translation are provided.
- This work expands the toolkit for circRNA analysis and understanding their roles in biological processes.
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