Masaki Nishioka1,2,3, Miki Bundo1,4,5, Junko Ueda6, Fumiki Katsuoka7, Yukuto Sato7, Yoko Kuroki7,8, Takao Ishii9, Wataru Ukai9, Shigeo Murayama10, Eri Hashimoto9, Masao Nagasaki7, Jun Yasuda7, Kiyoto Kasai2, Tadafumi Kato6, Kazuya Iwamoto1,5. 1. Department of Molecular Psychiatry, The University of Tokyo, Tokyo, Japan. 2. Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. 3. Division for Counseling and Support, The University of Tokyo, Tokyo, Japan. 4. PRESTO, Japan Science and Technology Agency, Saitama, Japan. 5. Department of Molecular Brain Science, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan. 6. Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan. 7. Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan. 8. Department of Genome Medicine, National Research Institute for Child Health and Development, Tokyo, Japan. 9. Department of Neuropsychiatry, School of Medicine, Sapporo Medical University, Sapporo, Japan. 10. Department of Neuropathology, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Abstract
AIM: Somatic mutations in the human brain are hypothesized to contribute to the functional diversity of brain cells as well as the pathophysiology of neuropsychiatric diseases. However, there are still few reports on somatic mutations in non-neoplastic human brain tissues. This study attempted to unveil the landscape of somatic mutations in the human brain. METHODS: We explored the landscape of somatic mutations in human brain tissues derived from three individuals with no neuropsychiatric diseases by whole-genome deep sequencing at a depth of around 100. The candidate mutations underwent multi-layered filtering, and were validated by ultra-deep target amplicon sequencing at a depth of around 200 000. RESULTS: Thirty-one somatic mutations were identified in the human brain, demonstrating the utility of whole-genome sequencing of bulk brain tissue. The mutations were enriched in neuron-expressed genes, and two-thirds of the identified somatic single nucleotide variants in the brain tissues were cytosine-to-thymine transitions, half of which were in CpG dinucleotides. CONCLUSION: Our developed filtering and validation approaches will be useful to identify somatic mutations in the human brain. The vulnerability of neuron-expressed genes to mutational events suggests their potential relevance to neuropsychiatric diseases.
AIM: Somatic mutations in the human brain are hypothesized to contribute to the functional diversity of brain cells as well as the pathophysiology of neuropsychiatric diseases. However, there are still few reports on somatic mutations in non-neoplastic human brain tissues. This study attempted to unveil the landscape of somatic mutations in the human brain. METHODS: We explored the landscape of somatic mutations in human brain tissues derived from three individuals with no neuropsychiatric diseases by whole-genome deep sequencing at a depth of around 100. The candidate mutations underwent multi-layered filtering, and were validated by ultra-deep target amplicon sequencing at a depth of around 200 000. RESULTS: Thirty-one somatic mutations were identified in the human brain, demonstrating the utility of whole-genome sequencing of bulk brain tissue. The mutations were enriched in neuron-expressed genes, and two-thirds of the identified somatic single nucleotide variants in the brain tissues were cytosine-to-thymine transitions, half of which were in CpG dinucleotides. CONCLUSION: Our developed filtering and validation approaches will be useful to identify somatic mutations in the human brain. The vulnerability of neuron-expressed genes to mutational events suggests their potential relevance to neuropsychiatric diseases.
Authors: Gian-Andri Thun; Sophia Derdak; Francesc Castro-Giner; Katherine Apunte-Ramos; Lidia Águeda; Matthias Wjst; Anne Boland; Jean-François Deleuze; Umme Kolsum; Marion S Heiss-Neumann; Adam Nowinski; Dorota Gorecka; Jens M Hohlfeld; Tobias Welte; Christopher E Brightling; David G Parr; Antje Prasse; Joachim Müller-Quernheim; Timm Greulich; Mariarita Stendardo; Piera Boschetto; Imre Barta; Balázs Döme; Marta Gut; Dave Singh; Loems Ziegler-Heitbrock; Ivo G Gut Journal: Sci Rep Date: 2019-12-27 Impact factor: 4.379