Combining genetics, genomics, and anatomy to classify cell types across mammals
Combining genetics, genomics, and anatomy to classify cell types across mammals
批准号:
8822109
负责人:
Gill Bejerano
金额:
$116.38万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-26 至 2017-06-30
关键词:
AccountingAlgorithmsAnatomyAreaAtlasesAxonBrainBrain regionCellsChromatinClassificationCollaborationsComplementDataData SetDiseaseElementsEnhancersEvolutionGene ExpressionGene Expression ProfileGenesGeneticGenomicsHealthHumanInterneuronsKnock-in MouseKnowledgeLaboratory miceLocationLogicMammalsMapsMental disordersMethodsMolecularMorphologyMusNeuroanatomyNeuronsNucleic Acid Regulatory SequencesOrganismPatternPhenotypePhysiologicalPhysiologyPopulationPresynaptic TerminalsProblem SolvingPropertyProsencephalonProteinsRat StrainsRattusRegulatory ElementReporterResolutionScientistSiteSliceSorting - Cell MovementStructureSynapsesSyntenyTestingWorkXCL1 genebasecell typedensitydesignfrontal lobegenome-widehomologous recombinationimprovedmammalian genomemannerve supplynervous system disorderneuronal cell bodyneuropsychiatryneurotransmitter releasenovelpostsynapticpresynapticpublic health relevancespecies difference
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Recent genetic advances have driven significant progress in scientists' abilities to classify and map neuronal cell types within the brains of mode organisms like laboratory mice. To better delineate neuronal cell types in the human brain, however, it is critical to have a deeper understanding of the way that neuronal cell types evolve across mammals. As a first step toward achieving this understanding, corresponding neuronal cell types will be directly compared in two closely related mammalian species: mice and rats. By closely examining differences in the properties of these cells, including the genes they express, we hope to identify genomic elements that control the properties of neuronal cell types, and to infer properties of the corresponding cell types in the human brain. Improving the precision with which we can classify human neuronal cell types could have a transformative impact on our ability to understand pathological changes in neuropsychiatric disease.
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