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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.
Franco, Irene; Helgadottir, Hafdis T; Moggio, Aldo; Larsson, Malin; Vrtacnik, Peter; Johansson, Anna; Norgren, Nina; Lundin, Pär; Mas-Ponte, David; Nordström, Johan; Lundgren, Torbjörn; Stenvinkel, Peter; Wennberg, Lars; Supek, Fran; Eriksson, Maria.
Afiliação
  • Franco I; Department of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska Institutet, Huddinge, Sweden. irene.franco@ki.se.
  • Helgadottir HT; Department of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska Institutet, Huddinge, Sweden.
  • Moggio A; Department of Medicine Huddinge, Integrated Cardio Metabolic Center, Karolinska Institutet, Huddinge, Sweden.
  • Larsson M; Science for Life Laboratory, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden.
  • Vrtacnik P; Department of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska Institutet, Huddinge, Sweden.
  • Johansson A; Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.
  • Norgren N; Science for Life Laboratory, Department of Molecular Biology, Umeå University, Umeå, Sweden.
  • Lundin P; Department of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska Institutet, Huddinge, Sweden.
  • Mas-Ponte D; Science for Life Laboratory, Department of Biochemistry and Biophysics (DBB), Stockholm University, Stockholm, Sweden.
  • Nordström J; Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028, Barcelona, Spain.
  • Lundgren T; Department of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Division of Transplantation Surgery, Karolinska University Hospital, Huddinge, Sweden.
  • Stenvinkel P; Department of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Division of Transplantation Surgery, Karolinska University Hospital, Huddinge, Sweden.
  • Wennberg L; Department of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Division of Renal Medicine, Karolinska University Hospital, Huddinge, Sweden.
  • Supek F; Department of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Division of Transplantation Surgery, Karolinska University Hospital, Huddinge, Sweden.
  • Eriksson M; Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028, Barcelona, Spain.
Genome Biol ; 20(1): 285, 2019 12 18.
Article em En | MEDLINE | ID: mdl-31849330
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mutagênese / Sequenciamento Completo do Genoma / Neoplasias Limite: Aged / Female / Humans Idioma: En Revista: Genome Biol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mutagênese / Sequenciamento Completo do Genoma / Neoplasias Limite: Aged / Female / Humans Idioma: En Revista: Genome Biol Ano de publicação: 2019 Tipo de documento: Article