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  • 1
    Publication Date: 2015-10-03
    Description: Neurons live for decades in a postmitotic state, their genomes susceptible to DNA damage. Here we survey the landscape of somatic single-nucleotide variants (SNVs) in the human brain. We identified thousands of somatic SNVs by single-cell sequencing of 36 neurons from the cerebral cortex of three normal individuals. Unlike germline and cancer SNVs, which are often caused by errors in DNA replication, neuronal mutations appear to reflect damage during active transcription. Somatic mutations create nested lineage trees, allowing them to be dated relative to developmental landmarks and revealing a polyclonal architecture of the human cerebral cortex. Thus, somatic mutations in the brain represent a durable and ongoing record of neuronal life history, from development through postmitotic function.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664477/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664477/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lodato, Michael A -- Woodworth, Mollie B -- Lee, Semin -- Evrony, Gilad D -- Mehta, Bhaven K -- Karger, Amir -- Lee, Soohyun -- Chittenden, Thomas W -- D'Gama, Alissa M -- Cai, Xuyu -- Luquette, Lovelace J -- Lee, Eunjung -- Park, Peter J -- Walsh, Christopher A -- 1S10RR028832-01/RR/NCRR NIH HHS/ -- P50 MH106933/MH/NIMH NIH HHS/ -- R01 NS032457/NS/NINDS NIH HHS/ -- R01 NS079277/NS/NINDS NIH HHS/ -- T32 AG000222/AG/NIA NIH HHS/ -- T32 GM007226/GM/NIGMS NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- U01 MH106883/MH/NIMH NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Oct 2;350(6256):94-8. doi: 10.1126/science.aab1785.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics and Genomics, Manton Center for Orphan Disease, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Departments of Neurology and Pediatrics, Harvard Medical School, Boston, MA, USA; and Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. ; Research Computing, Harvard Medical School, Boston, MA, USA. ; Research Computing, Harvard Medical School, Boston, MA, USA. Complex Biological Systems Alliance, North Andover, MA, USA. ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA. ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA. peter_park@harvard.edu christopher.walsh@childrens.harvard.edu. ; Division of Genetics and Genomics, Manton Center for Orphan Disease, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Departments of Neurology and Pediatrics, Harvard Medical School, Boston, MA, USA; and Broad Institute of MIT and Harvard, Cambridge, MA, USA. peter_park@harvard.edu christopher.walsh@childrens.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26430121" target="_blank"〉PubMed〈/a〉
    Keywords: Adolescent ; Cell Lineage ; Cerebral Cortex/*cytology/*growth & development ; DNA Mutational Analysis ; DNA Replication/genetics ; Female ; Genetic Loci ; Humans ; Male ; Mitosis/genetics ; *Mutation ; Neurons/*cytology/*physiology ; *Polymorphism, Single Nucleotide ; Single-Cell Analysis ; *Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2012-03-01
    Description: : High-throughput technologies can identify genes whose expression profiles correlate with specific phenotypes; however, placing these genes into a biological context remains challenging. To help address this issue, we developed nested Expression Analysis Systematic Explorer (nEASE). nEASE complements traditional gene ontology enrichment approaches by determining statistically enriched gene ontology subterms within a list of genes based on co-annotation. Here, we overview an open-source software version of the nEASE algorithm. nEASE can be used either stand-alone or as part of a pathway discovery pipeline. Availability: nEASE is implemented within the Multiple Experiment Viewer software package available at http://www.tm4.org/mev . Contact: cholmes@stats.ox.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 3
    Publication Date: 2018-02-03
    Description: It has long been hypothesized that aging and neurodegeneration are associated with somatic mutation in neurons; however, methodological hurdles have prevented testing this hypothesis directly. We used single-cell whole-genome sequencing to perform genome-wide somatic single-nucleotide variant (sSNV) identification on DNA from 161 single neurons from the prefrontal cortex and hippocampus of 15 normal individuals (aged 4 months to 82 years), as well as 9 individuals affected by early-onset neurodegeneration due to genetic disorders of DNA repair (Cockayne syndrome and xeroderma pigmentosum). sSNVs increased approximately linearly with age in both areas (with a higher rate in hippocampus) and were more abundant in neurodegenerative disease. The accumulation of somatic mutations with age—which we term genosenium—shows age-related, region-related, and disease-related molecular signatures and may be important in other human age-associated conditions.
    Keywords: Neuroscience
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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