1. Comprehensive analysis of circRNA expression profiles in humans by RAISE
- Author
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Yongchang Zheng, Lin Li, Guanqun Wang, Pei Sun, Ning Ao, Masood ur Rehman Kayani, Haitao Zhao, Li-Na Zhang, Zhao-Qi Gu, Wen Xu, and Liangcai Wu
- Subjects
0301 basic medicine ,Liver chemistry ,Cancer Research ,Brain chemistry ,Carcinoma, Hepatocellular ,Individuality ,Computational biology ,Biology ,Bioinformatics ,Transcriptome ,03 medical and health sciences ,Mice ,RNA analysis ,expression ,Animals ,Humans ,circRNA ,RNA, Messenger ,Brain Chemistry ,Human liver ,Sequence Analysis, RNA ,Gene Expression Profiling ,Liver Neoplasms ,Brain ,RNA, Circular ,Articles ,030104 developmental biology ,Liver metabolism ,Oncology ,Liver ,Potential biomarkers ,RNA ,RNA, Long Noncoding ,variation ,RNA biosynthesis ,Granulocytes - Abstract
Circular RNAs (circRNAs) are pervasively expressed circles of non‑coding RNAs. Even though many circRNAs have been reported in humans, their expression patterns and functions remain poorly understood. In this study, we employed a pipeline named RAISE to detect circRNAs in RNA‑seq data. RAISE can fully characterize circRNA structure and abundance. We evaluated inter-individual variations in circRNA expression in humans by applying this pipeline to numerous non‑poly(A)-selected RNA‑seq data. We identified 59,128 circRNA candidates in 61 human liver samples, with almost no overlap in the circRNA of the recruited samples. Approximately 89% of the circRNAs were detected in one or two samples. In comparison, 10% of the linear mRNAs and non‑coding RNAs were detected in each sample. We estimated the variation in other tissues, especially the circRNA high-abundance tissues, in advance. Only 0.5% of the 50,631 brain circRNA candidates were shared among the 30 recruited brain samples, which is similar to the proportion in liver. Moreover, we found inter- and intra-individual diversity in circRNAs expression in the granulocyte RNA‑seq data from seven individuals sampled 3 times at one-month intervals. Our findings suggest that careful consideration of inter-individual diversity is required when extensively identifying human circRNAs or proposing their use as potential biomarkers and therapeutic targets in disease.
- Published
- 2017