Chapter title |
Mitochondrial Lon Protease and Cancer
|
---|---|
Chapter number | 12 |
Book title |
Mitochondrial DNA and Diseases
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-981-10-6674-0_12 |
Pubmed ID | |
Book ISBNs |
978-9-81-106673-3, 978-9-81-106674-0
|
Authors |
Bin Lu |
Abstract |
ATP-dependent Lon protease of mitochondrial matrix is encoded by nuclear DNA and highly evolutionarily conserved throughout all organisms, which is involved in the quality control of proteins by selective degradation of misfolded, oxidized, and short-lived regulatory proteins within mitochondrial matrix, maintenance of mitochondrial genome (mtDNA), and folding of mitochondria proteins. Various stimuli such as hypoxia and oxidative and ER stress lead to upregulation of Lon expression. Inhibition of protease activity or downregulation of Lon promotes cancer cell death and enhances sensitivity of cancer cells to anticancer drugs through metabolic reprogramming, thus reducing the viability of cancer cell in tumor microenvironment and epithelial to mesenchymal transition (EMT). Moreover, mitochondrial ATP-dependent Lon protease may serve as a potential biomarker for cancer diagnosis and novel target for the development of anticancer drugs and for predicting of the efficiency and effectiveness of chemotherapy of a variety of cancers. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 25% |
Student > Bachelor | 2 | 17% |
Librarian | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Professor | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 17% |
Agricultural and Biological Sciences | 2 | 17% |
Nursing and Health Professions | 2 | 17% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Computer Science | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 25% |