| Chapter title |
Targeting Deubiquitinating Enzymes and Autophagy in Cancer.
|
|---|---|
| Chapter number | 5 |
| Book title |
Cancer Gene Networks
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6539-7_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6537-3, 978-1-4939-6539-7
|
| Authors |
Ashley Mooneyham, Martina Bazzaro |
| Editors |
Usha Kasid, Robert Clarke |
| Abstract |
Maintenance of proper cellular homeostasis requires constant surveillance and precise regulation of intracellular protein content. Protein monitoring and degradation is performed by two distinct pathways in a cell: the autophage-lysosome pathway and the ubiquitin-proteasome pathway. Protein degradation pathways are frequently dysregulated in multiple cancer types and can be both tumor suppressive and tumor promoting. This knowledge has presented the ubiquitin proteasome system (UPS) and autophagy as attractive cancer therapeutic targets. Deubiquitinating enzymes of the UPS have garnered recent attention in the field of cancer therapeutics due to their frequent dysregulation in multiple cancer types. The content of this chapter discusses reasoning behind and advances toward targeting autophagy and the deubiquitinating enzymes of the UPS in cancer therapy, as well as the compelling evidence suggesting that simultaneous targeting of these protein degradation systems may deliver the most effective, synergistic strategy to kill cancer cells. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 25% |
| Student > Master | 2 | 17% |
| Researcher | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Medicine and Dentistry | 1 | 8% |
| Unknown | 6 | 50% |