Title |
Circular RNAs in cancer: an emerging key player
|
---|---|
Published in |
Journal of Hematology & Oncology, January 2017
|
DOI | 10.1186/s13045-016-0370-2 |
Pubmed ID | |
Authors |
Yeping Dong, Dan He, Zhenzi Peng, Wei Peng, Wenwen Shi, Jun Wang, Bin Li, Chunfang Zhang, Chaojun Duan |
Abstract |
Circular RNAs (circRNAs) are a class of endogendous RNAs that form a covalently closed continuous loop and exist extensively in mammalian cells. Majority of circRNAs are conserved across species and often show tissue/developmental stage-specific expression. CircRNAs were first thought to be the result of splicing error; however, subsequent research shows that circRNAs can function as microRNA (miRNA) sponges and regulate splicing and transcription. Emerging evidence shows that circRNAs possess closely associated with human diseases, especially cancers, and may serve as better biomarkers. After miRNA and long noncoding RNA (lncRNA), circRNAs are becoming a new hotspot in the field of RNA of cancer. Here, we review biogenesis and metabolism of circRNAs, their functions, and potential roles in cancer. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
Canada | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 2 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Unknown | 119 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 17% |
Researcher | 18 | 15% |
Student > Master | 17 | 14% |
Student > Bachelor | 9 | 8% |
Professor | 7 | 6% |
Other | 21 | 18% |
Unknown | 28 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 34 | 28% |
Agricultural and Biological Sciences | 21 | 18% |
Medicine and Dentistry | 8 | 7% |
Computer Science | 5 | 4% |
Immunology and Microbiology | 3 | 3% |
Other | 16 | 13% |
Unknown | 33 | 28% |