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Mitochondrial DNA and Diseases

Overview of attention for book
Attention for Chapter 12: Mitochondrial Lon Protease and Cancer
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12 Mendeley
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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

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%