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Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type
BACKGROUND: The lifelong accumulation of somatic mutations underlies age-related phenotypes and cancer. Mutagenic forces are thought to shape the genome of aging cells in a tissue-specific way. Whole genome analyses of somatic mutation patterns, based on both types and genomic distribution of varian...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918713/ https://www.ncbi.nlm.nih.gov/pubmed/31849330 http://dx.doi.org/10.1186/s13059-019-1892-z |
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author | Franco, Irene Helgadottir, Hafdis T. Moggio, Aldo Larsson, Malin Vrtačnik, Peter Johansson, Anna Norgren, Nina Lundin, Pär Mas-Ponte, David Nordström, Johan Lundgren, Torbjörn Stenvinkel, Peter Wennberg, Lars Supek, Fran Eriksson, Maria |
author_facet | Franco, Irene Helgadottir, Hafdis T. Moggio, Aldo Larsson, Malin Vrtačnik, Peter Johansson, Anna Norgren, Nina Lundin, Pär Mas-Ponte, David Nordström, Johan Lundgren, Torbjörn Stenvinkel, Peter Wennberg, Lars Supek, Fran Eriksson, Maria |
author_sort | Franco, Irene |
collection | PubMed |
description | BACKGROUND: The lifelong accumulation of somatic mutations underlies age-related phenotypes and cancer. Mutagenic forces are thought to shape the genome of aging cells in a tissue-specific way. Whole genome analyses of somatic mutation patterns, based on both types and genomic distribution of variants, can shed light on specific processes active in different human tissues and their effect on the transition to cancer. RESULTS: To analyze somatic mutation patterns, we compile a comprehensive genetic atlas of somatic mutations in healthy human cells. High-confidence variants are obtained from newly generated and publicly available whole genome DNA sequencing data from single non-cancer cells, clonally expanded in vitro. To enable a well-controlled comparison of different cell types, we obtain single genome data (92% mean coverage) from multi-organ biopsies from the same donors. These data show multiple cell types that are protected from mutagens and display a stereotyped mutation profile, despite their origin from different tissues. Conversely, the same tissue harbors cells with distinct mutation profiles associated to different differentiation states. Analyses of mutation rate in the coding and non-coding portions of the genome identify a cell type bearing a unique mutation pattern characterized by mutation enrichment in active chromatin, regulatory, and transcribed regions. CONCLUSIONS: Our analysis of normal cells from healthy donors identifies a somatic mutation landscape that enhances the risk of tumor transformation in a specific cell population from the kidney proximal tubule. This unique pattern is characterized by high rate of mutation accumulation during adult life and specific targeting of expressed genes and regulatory regions. |
format | Online Article Text |
id | pubmed-6918713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69187132019-12-20 Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type Franco, Irene Helgadottir, Hafdis T. Moggio, Aldo Larsson, Malin Vrtačnik, Peter Johansson, Anna Norgren, Nina Lundin, Pär Mas-Ponte, David Nordström, Johan Lundgren, Torbjörn Stenvinkel, Peter Wennberg, Lars Supek, Fran Eriksson, Maria Genome Biol Research BACKGROUND: The lifelong accumulation of somatic mutations underlies age-related phenotypes and cancer. Mutagenic forces are thought to shape the genome of aging cells in a tissue-specific way. Whole genome analyses of somatic mutation patterns, based on both types and genomic distribution of variants, can shed light on specific processes active in different human tissues and their effect on the transition to cancer. RESULTS: To analyze somatic mutation patterns, we compile a comprehensive genetic atlas of somatic mutations in healthy human cells. High-confidence variants are obtained from newly generated and publicly available whole genome DNA sequencing data from single non-cancer cells, clonally expanded in vitro. To enable a well-controlled comparison of different cell types, we obtain single genome data (92% mean coverage) from multi-organ biopsies from the same donors. These data show multiple cell types that are protected from mutagens and display a stereotyped mutation profile, despite their origin from different tissues. Conversely, the same tissue harbors cells with distinct mutation profiles associated to different differentiation states. Analyses of mutation rate in the coding and non-coding portions of the genome identify a cell type bearing a unique mutation pattern characterized by mutation enrichment in active chromatin, regulatory, and transcribed regions. CONCLUSIONS: Our analysis of normal cells from healthy donors identifies a somatic mutation landscape that enhances the risk of tumor transformation in a specific cell population from the kidney proximal tubule. This unique pattern is characterized by high rate of mutation accumulation during adult life and specific targeting of expressed genes and regulatory regions. BioMed Central 2019-12-18 /pmc/articles/PMC6918713/ /pubmed/31849330 http://dx.doi.org/10.1186/s13059-019-1892-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Franco, Irene Helgadottir, Hafdis T. Moggio, Aldo Larsson, Malin Vrtačnik, Peter Johansson, Anna Norgren, Nina Lundin, Pär Mas-Ponte, David Nordström, Johan Lundgren, Torbjörn Stenvinkel, Peter Wennberg, Lars Supek, Fran Eriksson, Maria Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type |
title | Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type |
title_full | Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type |
title_fullStr | Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type |
title_full_unstemmed | Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type |
title_short | Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type |
title_sort | whole genome dna sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918713/ https://www.ncbi.nlm.nih.gov/pubmed/31849330 http://dx.doi.org/10.1186/s13059-019-1892-z |
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