| Chapter title |
Form and Function of Exosome-Associated Long Non-coding RNAs in Cancer
|
|---|---|
| Chapter number | 486 |
| Book title |
Long Non-coding RNAs in Human Disease
|
| Published in |
Current topics in microbiology and immunology, January 2016
|
| DOI | 10.1007/82_2015_486 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-923906-4, 978-3-31-923907-1
|
| Authors |
Chris Hewson, Kevin V. Morris, Hewson, Chris, Morris, Kevin V |
| Abstract |
The recent discovery that long non-coding RNAs (lncRNAs) are functional and are not merely "transcriptional noise" has spawned an entirely new arena of investigation. LncRNAs have been found to be functional in the regulation of a wide variety of genes, including those involved in cancer. Studies have identified that lncRNAs play a role in the development and regulation of cancer and can also act as prognostic markers. Meanwhile, exosomes , which are extracellular particles generated endogenously by cells, have been observed to act as transport vesicles for a variety of biological components, particularly proteins and RNAs. This transportation of biological components has been shown to impact a variety of biological processes including the development of cancer. Collectively, these observations, along with those of several recent studies, suggest that lncRNAs and exosomes may function together to disseminate cell signals that alter and/or control local cellular microenvironments. This review will identify the various roles that lncRNAs and exosomes play in cancer development, as well as the possibility that exosomes may transfer functional lncRNAs between cells as a means of cell-to-cell communication. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 28% |
| Researcher | 5 | 12% |
| Student > Bachelor | 5 | 12% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 30% |
| Medicine and Dentistry | 8 | 19% |
| Agricultural and Biological Sciences | 6 | 14% |
| Neuroscience | 3 | 7% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 11 | 26% |