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      Transcriptional Landscape of the Prenatal Human Brain

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      Nature
      Human brain, Transcriptome, Microarray, Development, Gene expression, Evolution

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          Summary

          The anatomical and functional architecture of the human brain is largely determined by prenatal transcriptional processes. We describe an anatomically comprehensive atlas of mid-gestational human brain, including de novo reference atlases, in situ hybridization, ultra-high resolution magnetic resonance imaging (MRI) and microarray analysis on highly discrete laser microdissected brain regions. In developing cerebral cortex, transcriptional differences are found between different proliferative and postmitotic layers, wherein laminar signatures reflect cellular composition and developmental processes. Cytoarchitectural differences between human and mouse have molecular correlates, including species differences in gene expression in subplate, although surprisingly we find minimal differences between the inner and human-expanded outer subventricular zones. Both germinal and postmitotic cortical layers exhibit fronto-temporal gradients, with particular enrichment in frontal lobe. Finally, many neurodevelopmental disorder and human evolution-related genes show patterned expression, potentially underlying unique features of human cortical formation. These data provide a rich, freely-accessible resource for understanding human brain development.

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          Most cited references61

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          Specification of cerebral cortical areas.

          P Rakic (1988)
          How the immense population of neurons that constitute the human cerebral neocortex is generated from progenitors lining the cerebral ventricle and then distributed to appropriate layers of distinctive cytoarchitectonic areas can be explained by the radial unit hypothesis. According to this hypothesis, the ependymal layer of the embryonic cerebral ventricle consists of proliferative units that provide a proto-map of prospective cytoarchitectonic areas. The output of the proliferative units is translated via glial guides to the expanding cortex in the form of ontogenetic columns, whose final number for each area can be modified through interaction with afferent input. Data obtained through various advanced neurobiological techniques, including electron microscopy, immunocytochemistry, [3H]thymidine and receptor autoradiography, retrovirus gene transfer, neural transplants, and surgical or genetic manipulation of cortical development, furnish new details about the kinetics of cell proliferation, their lineage relationships, and phenotypic expression that favor this hypothesis. The radial unit model provides a framework for understanding cerebral evolution, epigenetic regulation of the parcellation of cytoarchitectonic areas, and insight into the pathogenesis of certain cortical disorders in humans.
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            Rethinking schizophrenia.

            How will we view schizophrenia in 2030? Schizophrenia today is a chronic, frequently disabling mental disorder that affects about one per cent of the world's population. After a century of studying schizophrenia, the cause of the disorder remains unknown. Treatments, especially pharmacological treatments, have been in wide use for nearly half a century, yet there is little evidence that these treatments have substantially improved outcomes for most people with schizophrenia. These current unsatisfactory outcomes may change as we approach schizophrenia as a neurodevelopmental disorder with psychosis as a late, potentially preventable stage of the illness. This 'rethinking' of schizophrenia as a neurodevelopmental disorder, which is profoundly different from the way we have seen this illness for the past century, yields new hope for prevention and cure over the next two decades.
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              Functional organization of the transcriptome in human brain.

              The enormous complexity of the human brain ultimately derives from a finite set of molecular instructions encoded in the human genome. These instructions can be directly studied by exploring the organization of the brain's transcriptome through systematic analysis of gene coexpression relationships. We analyzed gene coexpression relationships in microarray data generated from specific human brain regions and identified modules of coexpressed genes that correspond to neurons, oligodendrocytes, astrocytes and microglia. These modules provide an initial description of the transcriptional programs that distinguish the major cell classes of the human brain and indicate that cell type-specific information can be obtained from whole brain tissue without isolating homogeneous populations of cells. Other modules corresponded to additional cell types, organelles, synaptic function, gender differences and the subventricular neurogenic niche. We found that subventricular zone astrocytes, which are thought to function as neural stem cells in adults, have a distinct gene expression pattern relative to protoplasmic astrocytes. Our findings provide a new foundation for neurogenetic inquiries by revealing a robust and previously unrecognized organization to the human brain transcriptome.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                23 May 2014
                02 April 2014
                10 April 2014
                10 October 2014
                : 508
                : 7495
                : 199-206
                Affiliations
                [1 ]Allen Institute for Brain Science, Seattle, WA 98103 USA
                [2 ]Division of Genetic Medicine, Department of Pediatrics, University of Washington, 1959 NE Pacific St. Box 356320, Seattle, WA 98195, USA
                [3 ]Department of Radiology, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA Computer Science and AI Lab, MIT, Cambridge, MA
                [4 ]Department of Neurobiology and Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, Connecticut 06510, USA
                [5 ]Program in Computational Biology and Bioinformatics, Department of Molecular Biophysics and Biochemistry, and Department of Computer Science, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
                [6 ]Program in Neurogenetics, Department of Neurology and Semel Institute David Geffen School of Medicine, UCLA, Los Angeles, California, USA
                [7 ]Center for Integrative Brain Research, Seattle Children’s Research Institute, Seattle, WA 98101, and Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA 98105, USA
                [8 ]Advanced Imaging Research Center, UT Southwestern Medical Center 75390, USA
                [9 ]Zilkha Neurogenetic Institute, and Department of Psychiatry, University of Southern California, Los Angeles, CA, USA
                [10 ]Department of Pediatrics, Children’s Hospital, Los Angeles, CA, USA
                [11 ]Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
                Author notes
                Corresponding Author: Ed Lein, Ph.D., 551 N. 34th Street, Seattle, WA 98103, T: 206.548.7039, EdL@ 123456alleninstitute.org
                [*]

                These authors contributed equally to this work

                Article
                NIHMS571145
                10.1038/nature13185
                4105188
                24695229
                98fb2e65-27d6-4460-9bd4-2e82bdb660a0
                History
                Categories
                Article

                Uncategorized
                human brain,transcriptome,microarray,development,gene expression,evolution
                Uncategorized
                human brain, transcriptome, microarray, development, gene expression, evolution

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