| Literature DB >> 28143578 |
Yumin Wang1,2,3, Yongzhen Mo1,2,3, Zhaojian Gong2,4, Xiang Yang1, Mo Yang1, Shanshan Zhang1, Fang Xiong1, Bo Xiang1,2,3, Ming Zhou2,3,5, Qianjin Liao2,5, Wenling Zhang2, Xiayu Li2,3, Xiaoling Li1,2,3, Yong Li2,6, Guiyuan Li1,2,3, Zhaoyang Zeng7,8,9, Wei Xiong10,11,12.
Abstract
CircRNAs are a novel type of RNAs. With the newly developed technology of next-generation sequencing (NGS), especially RNA-seq technology, over 30,000 circRNAs have already been found. Owing to their unique structure, they are more stable than linear RNAs. CircRNAs play important roles in the carcinogenesis of cancer. The expression of circRNAs is correlated with patients' clinical characteristics, and circRNAs play a vital role in many aspects of malignant phenotypes, including cell cycle, apoptosis, vascularization, and invasion; metastasis as a RNA sponge, binding to RBP; or translation. Therefore, it is meaningful to further study the mechanism of interactions between circRNAs and tumors. The role of circRNAs as molecular markers or potential targets will provide promising application perspectives, such as early tumor diagnosis, therapeutic evaluation, prognosis prediction, and even gene therapy for tumors.Entities:
Keywords: Biomarker; Cancer; Circular RNAs; Regulation; Splicing
Mesh:
Substances:
Year: 2017 PMID: 28143578 PMCID: PMC5282898 DOI: 10.1186/s12943-017-0598-7
Source DB: PubMed Journal: Mol Cancer ISSN: 1476-4598 Impact factor: 27.401
Fig. 1The biogenesis of circRNAs. a Alternative splicing of an RNA precursor. A linear RNA precursor can be cis-spliced into linear RNA, including mRNA and lncRNA. Special sequences, such as Alu, in the RNA precursor can combine to form a cycle and lead the spliceosome to produce different types of circRNAs through back splicing. b Different circRNAs have different back splicing mechanisms. Exonic circRNAs have cycling sequences, such as the Alu sequence, on the two sides. The two sequences bind to each other complementarily and are then spliced by the spliceosome, which consists of U2 and U6. Intronic circRNAs form a cycle through the combination of upstream introns of the GU rich sequence and the downstream C rich sequence, and they are spliced by spliceosome
Databases of circRNAs
| Database | Developers | Functions of database | Most recent version | Address | Reference |
|---|---|---|---|---|---|
| circRNABase | Li J et al. | Constructing a network of predicted interactions between miRNAs circular RNA genes and RBP | December 2013 |
| [ |
| circBase | Glazar P et al. | Providing merged and unified data sets of circRNAs and the evidence supporting their expression | December 2015 |
| [ |
| deepBase v2.0 | Zheng L et al. | Annotating 14867 human circRNAs. | November 2015 |
| [ |
| Circ2Traits | Ghosal S et al. | Constructing a network of predicted interactions between miRNAs and protein coding, long non-coding and circular RNA genes. Disease associated SNPs were mapped on circRNA loci, and Argonaute (Ago) interaction sites on circular RNAs were identified | December 2013 |
| [ |
| circNet | Liu Y et al. | Providing novel circRNAs, integrated miRNA-target networks, expression profiles of circRNA isoforms, genomic annotations of circRNA isoforms and sequences of circRNA isoforms | December 2015 |
| [ |
| CircInteractome | Dudekula DB et al. | Identifying potential circRNAs that can act as RBP sponges; design junction-spanning primers for specific detection of circRNAs of interest; design siRNAs for circRNA silencing, and Identify potential internal ribosomal entry sites (IRES). | December 2015 |
| [ |
| CIRCpedia | Yang L et al. | Containing circRNA back-splicing and alternative splicing from 39 human and mouse samples. | January 2015 |
| [ |
| TSCD | He C et al. | Depositing the features of tissue specific circRNAs in the human and mouse genomes. | August 2016 |
| [ |
CircRNAs can be novel biomarkers in human cancers
| CircRNA | Gene symbol | Aliasa | Chrome position | Types of cancer | Sample numbers (normal/tumor) | Relative clinical characteristics | Methods | Reference |
|---|---|---|---|---|---|---|---|---|
| Tissue | ||||||||
| hsa_circRNA_100855 |
| hsa_circ_0023028 | chr11:66515849-66590145 | Progressive laryngeal cancer | 56 (4/52) | T classification; Lymph node metastasis, Primary location, Clinical stage | qRT-PCR | [ |
| hsa_circRNA_104912 |
| hsa_circ_0088442 | chr9:126,438,998-126,641,300 | Progressive laryngeal cancer | 56 (4/52) | T classification, Differentiation, Lymph node metastasis, Clinical stage | qRT-PCR | [ |
| hsa_circ_0001649 |
| hsa_circ_0001649 | chr6:146209155-146216113 | Hepatocellular | 178 (89/89) | Tumor size; occurrence of tumor embolus | qRT-PCR | [ |
| hsa_circ_001569 |
| hsa_circ_0000677 | chr16:16101672-16162159 | Colorectal cancer | 24 (12/12) | T classification, Distant metastasis | qRT-PCR | [ |
| circ VCAN, circ SMO, circ PLOD2, circ GLIS3, circ EPHB4, circ CLIP2, circ PTN, |
| Glioma | 46 (20/26) | Higher in tumor tissue | RNA seq | [ | ||
| hsa_circ_0005075 |
| hsa_circ_0005075 | chr1:21377358-21415706 | Hepatocellular carcinoma | 66 (33/33) | Tumor size | qRT-PCR | [ |
| Exosome | ||||||||
| circ-KLDHC10 |
| hsa_circ_0082333 | chr7:129,756,284-129,762,042 | Hepatocellular carcinoma | 4 cell line | Higher in CRC serum | RNA seq & qRT-PCR | [ |
aAlias: the circRNA ID in circBase (http://circbase.mdc-berlin.de)