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TRANSCRIPTOME AND EPIGENOME MAPPING IN DOPAMINE NEURONS FROM THE OPIOID EXPOSED HUMAN BRAIN

TRANSCRIPTOME AND EPIGENOME MAPPING IN DOPAMINE NEURONS FROM THE OPIOID EXPOSED HUMAN BRAIN
暴露于阿片类药物的人脑多巴胺神经元的转录组和表观基因组图谱
批准号:
9816173
负责人:
Schahram Akbarian
金额:
$74.95万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-15 至 2024-06-30
关键词:
3-DimensionalATAC-seqAcuteAffectAgeAnhedoniaAutopsyBase of the BrainBayesian NetworkBehaviorBrainCatalogsCategoriesCell NucleusCellsCessation of lifeChIP-seqChromatinChronicCollectionCommunitiesComorbidityCuesDNADataData SetDevelopmentDiagnosisDimensionsDiseaseDrug AddictionDrug abuseDrug usageEnhancersEthnic OriginEtiologyExposure toFluorescenceFunctional disorderGene ExpressionGenesGenetic RiskGenetic TranscriptionGenetic VariationGenomeGenomic approachGenomicsGenotypeGoalsGuide RNAHumanIndividualInformation NetworksMapsMediatingMethodsMidbrain structureMolecular ConformationNational Institute of Drug AbuseNeurobiologyNeuronsNuclear RNAOpiate AddictionOpioidPathologyPathway interactionsPharmaceutical PreparationsPhenotypePlayPoliciesPopulationPrincipal InvestigatorRegulationResearchResolutionRewardsRoleSmall RNASorting - Cell MovementSourceSpacer DNASpecimenStainsSubgroupSubstance abuse problemSubstantia nigra structureSystemTestingTimeTissuesToxicologyTranscriptTravelUncertaintyUnited States National Institutes of HealthUntranslated RNAValidationVariantVentral Tegmental AreaVeteransaddictionbasecase controlcell typeclinical phenotypecohortdata sharingdeep sequencingdifferential expressiondopamine systemdopaminergic neurondrug of abusedrug withdrawaldysphoriaepigenomeepigenomicsexposed human populationgenome-widehistone modificationindividual variationinduced pluripotent stem cellknowledge basenetwork modelsneural circuitneurogenomicsneuropsychiatryneurotransmissionnon-drugopioid abuseopioid exposureopioid overdosephenotypic dataprediction algorithmpredictive modelingpromoterreconstructionsextraittranscriptometranscriptome sequencingvirtual

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Although many cells and neural circuits clearly contribute to opiate and other substance abuse disorder, the path to drug addiction travels through midbrain dopaminergic neurons. Though a rare cell type (it is estimated that a mere 1 of every 200,000 neurons in the human brain is of a dopaminergic phenotype), changes in dopaminergic neurotransmission are thought to play a role in various stages of addiction, from acute reward mechanisms and goal-directed actions, to the development of habitual behavior and increased salience of cues associated with drug use, as well as the anhedonia and dysphoria associated with drug withdrawal. Surprisingly little is actually known about persistent changes in gene expression that presumably underlie the dysfunction of dopamine systems in brain exposed to opiates and other drug of abuse. Our project is centered on three Specific Aims. In Aim #1,we will extract chromatin from immunotagged midbrain dopaminergic neuron nuclei collected by fluorescence-activated sorting from 150 controls and 150 cases diagnosed with opiate abuse and then profile, on a genome-wide scale, the transcriptome and open chromatin landscapes and promoter-enhancer loopings and other types of chromosomal conformations (the ‘3D genome’) in cell type-specific manner. In Aim #2, we will apply integrative genomics approaches and leverage Aim #1 postmortem brain data with population-scale genotypes and phenotypes provided by the Million Veterans Project and the Psychiatric Genomics Consortium to build causal probabilistic networks and predict key drivers within the regulatory non-coding DNA space of the dopaminergic system. In Aim #3, we will validate addiction-relevant cis-regulatory sequences (from Aim #1, #2) with small RNA-guided epigenomic editing systems in cultured human dopaminergic neurons. Collectively, our midbrain dopaminergic neuron- focused project will fill critical voids in the field of human addiction research and human neurogenomics and embark, for the first time, on a deep epigenomic assessment of one of the key cell populations in reward and addiction circuitry.
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    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    柳静
  • 依托单位:
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    62302218
  • 项目类别:
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  • 资助金额:
    30.00万元
  • 批准年份:
    2023
  • 负责人:
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