Microarray is an efficient tool for circRNA profiling

• Published in: Briefings in bioinformatics Vol. 20; no. 4; pp. 1420 - 1433
• Main Authors: Li, Shasha, Teng, Shuaishuai, Xu, Junquan, Su, Guannan, Zhang, Yu, Zhao, Jianqing, Zhang, Suwei, Wang, Haiyan, Qin, Wenyan, Lu, Zhi John, Guo, Yong, Zhu, Qianyong, Wang, Dong
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 19.07.2019; Oxford Publishing Limited (England)
• Subjects: Bioinformatics; Brain - metabolism; Cervical cancer; Circular RNA; Computational Biology; Databases, Nucleic Acid - statistics & numerical data; Datasets; DNA probes; Female; Gene Expression Profiling - methods; Gene Expression Profiling - statistics & numerical data; Gene sequencing; Genomes; Humans; Neoplasms - blood; Neoplasms - genetics; Neoplasms - metabolism; Oligonucleotide Array Sequence Analysis - methods; Oligonucleotide Array Sequence Analysis - statistics & numerical data; Polymerase chain reaction; Reverse transcription; RNA, Circular - blood; RNA, Circular - genetics; RNA, Circular - metabolism; RNA-Seq - methods; RNA-Seq - statistics & numerical data; Tissue Distribution; Tumors; Uterine Cervical Neoplasms - blood; Uterine Cervical Neoplasms - genetics; Uterine Cervical Neoplasms - metabolism; circRNAs; circRNA microarray; cervical cancer; plasma circRNA; noninvasively biomarker

Abstract Circular RNAs (circRNAs) are emerging as a new class of endogenous and regulatory noncoding RNAs in latest years. With the widespread application of RNA sequencing (RNA-seq) technology and bioinformatics prediction, large numbers of circRNAs have been identified. However, at present, we lac...