| Chapter title |
MicroRNAs, Long Noncoding RNAs, and Their Functions in Human Disease
|
|---|---|
| Chapter number | 1 |
| Book title |
Bioinformatics in MicroRNA Research
|
| Published in |
Methods in molecular biology, May 2017
|
| DOI | 10.1007/978-1-4939-7046-9_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7044-5, 978-1-4939-7046-9
|
| Authors |
Xue, Min, Zhuo, Ying, Shan, Bin, Min Xue, Ying Zhuo, Bin Shan M.D., Ph.D., Bin Shan |
| Editors |
Jingshan Huang, Glen M. Borchert, Dejing Dou, Jun (Luke) Huan, Wenjun Lan, Ming Tan, Bin Wu |
| Abstract |
Majority of the human genome is transcribed into RNAs with absent or limited protein-coding potential. microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) are two major families of the non-protein-coding transcripts. miRNAs and lncRNAs can regulate fundamental cellular processes via diverse mechanisms. The expression and function of miRNAs and lncRNAs are tightly regulated in development and physiological homeostasis. Dysregulation of miRNAs and lncRNAs is critical to pathogenesis of human disease. Moreover, recent evidence indicates a cross talk between miRNAs and lncRNAs. Herein we review recent advances in the biology of miRNAs and lncRNAs with respect to the above aspects. We focus on their roles in cancer, respiratory disease, and neurodegenerative disease. The complexity, flexibility, and versatility of the structures and functions of miRNAs and lncRNAs demand integration of experimental and bioinformatics tools to acquire sufficient knowledge for applications of these noncoding RNAs in clinical care. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 2% |
| Unknown | 58 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 20% |
| Student > Ph. D. Student | 8 | 14% |
| Researcher | 7 | 12% |
| Student > Doctoral Student | 3 | 5% |
| Other | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 20 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 29% |
| Medicine and Dentistry | 6 | 10% |
| Neuroscience | 5 | 8% |
| Agricultural and Biological Sciences | 2 | 3% |
| Veterinary Science and Veterinary Medicine | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 21 | 36% |