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Canonical genetic signatures of the adult human brain.
Hawrylycz, Michael; Miller, Jeremy A; Menon, Vilas; Feng, David; Dolbeare, Tim; Guillozet-Bongaarts, Angela L; Jegga, Anil G; Aronow, Bruce J; Lee, Chang-Kyu; Bernard, Amy; Glasser, Matthew F; Dierker, Donna L; Menche, Jörg; Szafer, Aaron; Collman, Forrest; Grange, Pascal; Berman, Kenneth A; Mihalas, Stefan; Yao, Zizhen; Stewart, Lance; Barabási, Albert-László; Schulkin, Jay; Phillips, John; Ng, Lydia; Dang, Chinh; Haynor, David R; Jones, Allan; Van Essen, David C; Koch, Christof; Lein, Ed.
Afiliação
  • Hawrylycz M; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Miller JA; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Menon V; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Feng D; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Dolbeare T; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Guillozet-Bongaarts AL; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Jegga AG; Division of Biomedical Informatics, Cincinnati Children's Hospital and Medical Center, Cincinnati, Ohio, USA.
  • Aronow BJ; Division of Biomedical Informatics, Cincinnati Children's Hospital and Medical Center, Cincinnati, Ohio, USA.
  • Lee CK; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Bernard A; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Glasser MF; Department of Anatomy and Neurobiology, Washington University, St. Louis, Missouri, USA.
  • Dierker DL; Department of Anatomy and Neurobiology, Washington University, St. Louis, Missouri, USA.
  • Menche J; Center for Complex Networks Research, Northeastern University, Boston, Massachusetts, USA.
  • Szafer A; Department of Physics, Northeastern University, Boston, Massachusetts, USA.
  • Collman F; Center for Network Science, Central European University, Budapest, Hungary.
  • Grange P; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Berman KA; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Mihalas S; Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Jiangsu, China.
  • Yao Z; Department of Electrical Engineering and Computing Systems, University of Cincinnati, Cincinnati, Ohio, USA.
  • Stewart L; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Barabási AL; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Schulkin J; Institute for Protein Design, University of Washington, Seattle, Washington, USA.
  • Phillips J; Center for Complex Networks Research, Northeastern University, Boston, Massachusetts, USA.
  • Ng L; Department of Physics, Northeastern University, Boston, Massachusetts, USA.
  • Dang C; Center for Network Science, Central European University, Budapest, Hungary.
  • Haynor DR; Center for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Jones A; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Van Essen DC; Department of Neuroscience, Georgetown University, Washington, DC, USA.
  • Koch C; The Allen Institute for Brain Science, Seattle, Washington, USA.
  • Lein E; The Allen Institute for Brain Science, Seattle, Washington, USA.
Nat Neurosci ; 18(12): 1832-44, 2015 Dec.
Article em En | MEDLINE | ID: mdl-26571460
The structure and function of the human brain are highly stereotyped, implying a conserved molecular program responsible for its development, cellular structure and function. We applied a correlation-based metric called differential stability to assess reproducibility of gene expression patterning across 132 structures in six individual brains, revealing mesoscale genetic organization. The genes with the highest differential stability are highly biologically relevant, with enrichment for brain-related annotations, disease associations, drug targets and literature citations. Using genes with high differential stability, we identified 32 anatomically diverse and reproducible gene expression signatures, which represent distinct cell types, intracellular components and/or associations with neurodevelopmental and neurodegenerative disorders. Genes in neuron-associated compared to non-neuronal networks showed higher preservation between human and mouse; however, many diversely patterned genes displayed marked shifts in regulation between species. Finally, highly consistent transcriptional architecture in neocortex is correlated with resting state functional connectivity, suggesting a link between conserved gene expression and functionally relevant circuitry.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Redes Reguladoras de Genes / Transcriptoma / Rede Nervosa Limite: Adult / Animals / Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article
Texto completo
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XML
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Redes Reguladoras de Genes / Transcriptoma / Rede Nervosa Limite: Adult / Animals / Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article