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Approaches and challenges in genome-wide circular RNA identification and quantification.
Ma, Xu-Kai; Zhai, Si-Nan; Yang, Li.
Afiliación
  • Ma XK; Center for Molecular Medicine, Children's Hospital, Fudan University and Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China. Electronic address: maxukai@fudan.edu.cn.
  • Zhai SN; Center for Molecular Medicine, Children's Hospital, Fudan University and Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
  • Yang L; Center for Molecular Medicine, Children's Hospital, Fudan University and Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China. Electronic address: liyang_fudan@fudan.edu.cn.
Trends Genet ; 39(12): 897-907, 2023 12.
Article en En | MEDLINE | ID: mdl-37839990
ABSTRACT
Numerous circular RNAs (circRNAs) produced from back-splicing of exon(s) have been recently revealed on a genome-wide scale across species. Although generally expressed at a low level, some relatively abundant circRNAs can play regulatory roles in various biological processes, prompting continuous profiling of circRNA in broader conditions. Over the past decade, distinct strategies have been applied in both transcriptome enrichment and bioinformatic tools for detecting and quantifying circRNAs. Understanding the scope and limitations of these strategies is crucial for the subsequent annotation and characterization of circRNAs, especially those with functional potential. Here, we provide an overview of different transcriptome enrichment, deep sequencing and computational approaches for genome-wide circRNA identification, and discuss strategies for accurate quantification and characterization of circRNA.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: ARN / ARN Circular Idioma: En Revista: Trends Genet Asunto de la revista: GENETICA Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: ARN / ARN Circular Idioma: En Revista: Trends Genet Asunto de la revista: GENETICA Año: 2023 Tipo del documento: Article