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Detection of Ultra-Rare Mitochondrial Mutations in Breast Stem Cells by Duplex Sequencing

Long-lived adult stem cells could accumulate non-repaired DNA damage or mutations that increase the risk of tumor formation. To date, studies on mutations in stem cells have concentrated on clonal (homoplasmic) mutations and have not focused on rarely occurring stochastic mutations that may accumula...

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Autores principales: Ahn, Eun Hyun, Hirohata, Kensen, Kohrn, Brendan F., Fox, Edward J., Chang, Chia-Cheng, Loeb, Lawrence A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549069/
https://www.ncbi.nlm.nih.gov/pubmed/26305705
http://dx.doi.org/10.1371/journal.pone.0136216
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author Ahn, Eun Hyun
Hirohata, Kensen
Kohrn, Brendan F.
Fox, Edward J.
Chang, Chia-Cheng
Loeb, Lawrence A.
author_facet Ahn, Eun Hyun
Hirohata, Kensen
Kohrn, Brendan F.
Fox, Edward J.
Chang, Chia-Cheng
Loeb, Lawrence A.
author_sort Ahn, Eun Hyun
collection PubMed
description Long-lived adult stem cells could accumulate non-repaired DNA damage or mutations that increase the risk of tumor formation. To date, studies on mutations in stem cells have concentrated on clonal (homoplasmic) mutations and have not focused on rarely occurring stochastic mutations that may accumulate during stem cell dormancy. A major challenge in investigating these rare mutations is that conventional next generation sequencing (NGS) methods have high error rates. We have established a new method termed Duplex Sequencing (DS), which detects mutations with unprecedented accuracy. We present a comprehensive analysis of mitochondrial DNA mutations in human breast normal stem cells and non-stem cells using DS. The vast majority of mutations occur at low frequency and are not detectable by NGS. The most prevalent point mutation types are the C>T/G>A and A>G/T>C transitions. The mutations exhibit a strand bias with higher prevalence of G>A, T>C, and A>C mutations on the light strand of the mitochondrial genome. The overall rare mutation frequency is significantly lower in stem cells than in the corresponding non-stem cells. We have identified common and unique non-homoplasmic mutations between non-stem and stem cells that include new mutations which have not been reported previously. Four mutations found within the MT-ND5 gene (m.12684G>A, m.12705C>T, m.13095T>C, m.13105A>G) are present in all groups of stem and non-stem cells. Two mutations (m.8567T>C, m.10547C>G) are found only in non-stem cells. This first genome-wide analysis of mitochondrial DNA mutations may aid in characterizing human breast normal epithelial cells and serve as a reference for cancer stem cell mutation profiles.
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spelling pubmed-45490692015-09-01 Detection of Ultra-Rare Mitochondrial Mutations in Breast Stem Cells by Duplex Sequencing Ahn, Eun Hyun Hirohata, Kensen Kohrn, Brendan F. Fox, Edward J. Chang, Chia-Cheng Loeb, Lawrence A. PLoS One Research Article Long-lived adult stem cells could accumulate non-repaired DNA damage or mutations that increase the risk of tumor formation. To date, studies on mutations in stem cells have concentrated on clonal (homoplasmic) mutations and have not focused on rarely occurring stochastic mutations that may accumulate during stem cell dormancy. A major challenge in investigating these rare mutations is that conventional next generation sequencing (NGS) methods have high error rates. We have established a new method termed Duplex Sequencing (DS), which detects mutations with unprecedented accuracy. We present a comprehensive analysis of mitochondrial DNA mutations in human breast normal stem cells and non-stem cells using DS. The vast majority of mutations occur at low frequency and are not detectable by NGS. The most prevalent point mutation types are the C>T/G>A and A>G/T>C transitions. The mutations exhibit a strand bias with higher prevalence of G>A, T>C, and A>C mutations on the light strand of the mitochondrial genome. The overall rare mutation frequency is significantly lower in stem cells than in the corresponding non-stem cells. We have identified common and unique non-homoplasmic mutations between non-stem and stem cells that include new mutations which have not been reported previously. Four mutations found within the MT-ND5 gene (m.12684G>A, m.12705C>T, m.13095T>C, m.13105A>G) are present in all groups of stem and non-stem cells. Two mutations (m.8567T>C, m.10547C>G) are found only in non-stem cells. This first genome-wide analysis of mitochondrial DNA mutations may aid in characterizing human breast normal epithelial cells and serve as a reference for cancer stem cell mutation profiles. Public Library of Science 2015-08-25 /pmc/articles/PMC4549069/ /pubmed/26305705 http://dx.doi.org/10.1371/journal.pone.0136216 Text en © 2015 Ahn et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Ahn, Eun Hyun
Hirohata, Kensen
Kohrn, Brendan F.
Fox, Edward J.
Chang, Chia-Cheng
Loeb, Lawrence A.
Detection of Ultra-Rare Mitochondrial Mutations in Breast Stem Cells by Duplex Sequencing
title Detection of Ultra-Rare Mitochondrial Mutations in Breast Stem Cells by Duplex Sequencing
title_full Detection of Ultra-Rare Mitochondrial Mutations in Breast Stem Cells by Duplex Sequencing
title_fullStr Detection of Ultra-Rare Mitochondrial Mutations in Breast Stem Cells by Duplex Sequencing
title_full_unstemmed Detection of Ultra-Rare Mitochondrial Mutations in Breast Stem Cells by Duplex Sequencing
title_short Detection of Ultra-Rare Mitochondrial Mutations in Breast Stem Cells by Duplex Sequencing
title_sort detection of ultra-rare mitochondrial mutations in breast stem cells by duplex sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549069/
https://www.ncbi.nlm.nih.gov/pubmed/26305705
http://dx.doi.org/10.1371/journal.pone.0136216
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