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ISSN 2469-9853

Journal of Next Generation Sequencing & Applications
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Review Article

Detection of Mitochondrial Mutations in Cancer by Next Generation Sequencing

Fei Ye, David C, Samuels and Yan Guo*

Department of Cancer Biology, Vanderbilt University, USA

*Corresponding Author:
Yan Guo
Assistant Professor
Department of Cancer Biology
Vanderbilt University, USA
Tel: 615936-0816
E-mail: [email protected]

Received date: January 21, 2014; Accepted date: April 26, 2014; Published date: April 28, 2014

Citation: Ye F, David C, Samuels, Guo Y (2014) Detection of Mitochondrial Mutations in Cancer by Next Generation Sequencing. Next Generat Sequenc & Applic 1:102. doi:10.4172/2469-9853.1000102

Copyright: © 2014 Ye et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Mitochondria play a central role in the regulation of cellular function, metabolism, and cell death in many types of cell including cancer. Little attention has been paid to the potential mutations that can affect mitochondrial function in cancer, other than specific mutations in genes that are encoded in the nuclear DNA and so once mutated, all mitochondria in a cell will be affected. However, both somatic and germline mutations in mitochondrial genes are common and have been suggested to contribute to the development of cancer. Recent advances in high-throughput technologies have allowed for the rapid and accurate detection of mitochondrial DNA (mtDNA) mutations, polymorphisms, or copy number variations in a variety of tissues and bodily fluids, and can be used as a tool for early detection and treatment of cancer. In addition to deep-sequencing specifically targeted at mtDNA, mtDNA sequences can also be extracted from exome (or whole genome) sequencing data.


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