Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type

Abstract 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 o...

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Main Authors: Irene Franco, Hafdis T. Helgadottir, Aldo Moggio, Malin Larsson, Peter Vrtačnik, Anna Johansson, Nina Norgren, Pär Lundin, David Mas-Ponte, Johan Nordström, Torbjörn Lundgren, Peter Stenvinkel, Lars Wennberg, Fran Supek, Maria Eriksson
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Genome Biology
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Online Access:https://doi.org/10.1186/s13059-019-1892-z
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spelling doaj-a0b5804ee3f14ea3ae1dd947efe10ff82020-12-20T12:39:42ZengBMCGenome Biology1474-760X2019-12-0120112210.1186/s13059-019-1892-zWhole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell typeIrene Franco0Hafdis T. Helgadottir1Aldo Moggio2Malin Larsson3Peter Vrtačnik4Anna Johansson5Nina Norgren6Pär Lundin7David Mas-Ponte8Johan Nordström9Torbjörn Lundgren10Peter Stenvinkel11Lars Wennberg12Fran Supek13Maria Eriksson14Department of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska InstitutetDepartment of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska InstitutetDepartment of Medicine Huddinge, Integrated Cardio Metabolic Center, Karolinska InstitutetScience for Life Laboratory, Department of Physics, Chemistry and Biology, Linköping UniversityDepartment of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska InstitutetScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala UniversityScience for Life Laboratory, Department of Molecular Biology, Umeå UniversityDepartment of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska InstitutetGenome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and TechnologyDepartment of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Division of Transplantation Surgery, Karolinska University HospitalDepartment of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Division of Transplantation Surgery, Karolinska University HospitalDepartment of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Division of Renal Medicine, Karolinska University HospitalDepartment of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Division of Transplantation Surgery, Karolinska University HospitalGenome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and TechnologyDepartment of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska InstitutetAbstract 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.https://doi.org/10.1186/s13059-019-1892-zSomatic mutationsAgingKidney cancerProximal tubulekidney progenitors
collection DOAJ
language English
format Article
sources DOAJ
author Irene Franco
Hafdis T. Helgadottir
Aldo Moggio
Malin Larsson
Peter Vrtačnik
Anna Johansson
Nina Norgren
Pär Lundin
David Mas-Ponte
Johan Nordström
Torbjörn Lundgren
Peter Stenvinkel
Lars Wennberg
Fran Supek
Maria Eriksson
spellingShingle Irene Franco
Hafdis T. Helgadottir
Aldo Moggio
Malin Larsson
Peter Vrtačnik
Anna Johansson
Nina Norgren
Pär Lundin
David Mas-Ponte
Johan Nordström
Torbjörn Lundgren
Peter Stenvinkel
Lars Wennberg
Fran Supek
Maria Eriksson
Whole genome DNA sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type
Genome Biology
Somatic mutations
Aging
Kidney cancer
Proximal tubule
kidney progenitors
author_facet Irene Franco
Hafdis T. Helgadottir
Aldo Moggio
Malin Larsson
Peter Vrtačnik
Anna Johansson
Nina Norgren
Pär Lundin
David Mas-Ponte
Johan Nordström
Torbjörn Lundgren
Peter Stenvinkel
Lars Wennberg
Fran Supek
Maria Eriksson
author_sort Irene Franco
title 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_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_sort whole genome dna sequencing provides an atlas of somatic mutagenesis in healthy human cells and identifies a tumor-prone cell type
publisher BMC
series Genome Biology
issn 1474-760X
publishDate 2019-12-01
description Abstract 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.
topic Somatic mutations
Aging
Kidney cancer
Proximal tubule
kidney progenitors
url https://doi.org/10.1186/s13059-019-1892-z
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