Title |
Long noncoding RNAs in cancer: mechanisms of action and technological advancements
|
---|---|
Published in |
Molecular Cancer, May 2016
|
DOI | 10.1186/s12943-016-0530-6 |
Pubmed ID | |
Authors |
Nenad Bartonicek, Jesper L. V. Maag, Marcel E. Dinger |
Abstract |
The previous decade has seen long non-coding RNAs (lncRNAs) rise from obscurity to being defined as a category of genetic elements, leaving its mark on the field of cancer biology. With the current number of curated lncRNAs increasing by 10,000 in the last five years, the field is moving from annotation of lncRNA expression in various tumours to understanding their importance in the key cancer signalling networks and characteristic behaviours. Here, we summarize the previously identified as well as recently discovered mechanisms of lncRNA function and their roles in the hallmarks of cancer. Furthermore, we identify novel technologies for investigation of lncRNA properties and their function in carcinogenesis, which will be important for their translation to the clinic as novel biomarkers and therapeutic targets. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 43% |
Australia | 2 | 14% |
United Kingdom | 1 | 7% |
France | 1 | 7% |
Germany | 1 | 7% |
Norway | 1 | 7% |
Unknown | 2 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 64% |
Members of the public | 5 | 36% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 2 | <1% |
Belgium | 2 | <1% |
South Africa | 1 | <1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 211 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 54 | 25% |
Researcher | 37 | 17% |
Student > Master | 34 | 16% |
Student > Bachelor | 26 | 12% |
Student > Doctoral Student | 8 | 4% |
Other | 26 | 12% |
Unknown | 34 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 88 | 40% |
Agricultural and Biological Sciences | 48 | 22% |
Medicine and Dentistry | 19 | 9% |
Computer Science | 6 | 3% |
Unspecified | 3 | 1% |
Other | 13 | 6% |
Unknown | 42 | 19% |