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Establishment and Characterization of Novel Mutant Mouse Models for the Addiction Research Community

Establishment and Characterization of Novel Mutant Mouse Models for the Addiction Research Community
成瘾研究界新型突变小鼠模型的建立和表征
批准号:
10647879
负责人:
VIVEK KUMAR
金额:
$82.41万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-08-15 至 2026-05-31
关键词:
AcuteAnimalsAnxietyBehaviorBehavioralBehavioral AssayBiologicalBiological AssayBiologyBrainBrain imagingBrain regionCandidate Disease GeneChildCocaineCodeCollaborationsCommunitiesComplementCorpus striatum structureDarknessDataData SetDrug abuseEconomicsEmotionalGene DeletionGene ExpressionGene Expression ProfileGene Expression ProfilingGenesGeneticGenetic ModelsGenetic TranscriptionGenomicsGoalsHippocampusHospitalsHumanHyperactivityImageImpulsivityIndividualInstitutionKnock-outKnockout MiceLaboratoriesLightLinkMagnetic Resonance ImagingMapsMeasurementMeasuresMedialMediatingMetabolismMidbrain structureModelingMusNeuroanatomyNeurobiologyNeuronsOutcomePathway interactionsPharmaceutical PreparationsPhenotypePhysiologyPrefrontal CortexProcessProteinsPublic HealthPublishingQuantitative Trait LociResearchResourcesRewardsRodentSeizuresSelf AdministrationSleepStructureSystemSystems AnalysisTail SuspensionTestingThe Jackson LaboratoryTherapeutic InterventionTherapeutic community techniqueTissuesValidationVariantWorkaddictionbehavioral phenotypingbody systembrain reward regionscocaine sensitizationcostdesigndeviantdrug response predictioneffective therapyexperimental studygene discoverygenetic resourcegenetic variantgenome wide association studyimage processingin vivoinnovationinsightknock out mouse projectknockout geneloss of functionmesolimbic systemmouse genomemouse modelmutantmutant mouse modelneuron developmentnovelnovel therapeuticspleiotropismpreferenceprepulse inhibitionprogramspsychostimulantreverse geneticsscale upsocialtherapeutic developmenttrait impulsivitytranscriptometranscriptome sequencingtranscriptomicsvirtual

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PROJECT SUMMARY/ABSTRACT Addiction is an enormous economic, personal, and social burden, costing over $600 billion per year in the U.S. Understanding vulnerability to addiction, and developing effective therapies, requires identifying the genes and pathways that mediate the addiction process. Our long-term goal is to develop novel genetic models for addiction-relevant phenotypes, and use these models to characterize the genetic mechanisms of addiction. We propose to leverage the Jackson Laboratory Knockout Mouse Project 2 (JAX KOMP2) pipeline to prioritize addiction gene candidates, and then characterize the effects of candidate gene knockouts on addiction-related behaviors and on addiction-relevant tissues. The JAX KOMP2 Phenotyping Center performs high-throughput phenotyping of knockout mice across organ systems using an efficient, broad-based testing pipeline including behavioral assays for emotionality and sleep, both predictive of addiction phenotypes. Here we propose to exploit this rich KOMP2 dataset to select a subset of lines with emotionality and neuronal phenotypes (e.g. deviant open field, light dark, hole board, tail suspension, prepulse inhibition, rotarod, electroconvulsive seizure threshold, or sleep phenotypes) and lacking metabolism and physiology phenotypes. Our preliminary data provide compelling evidence that gene deletions leading to emotionality phenotypes in the KOMP pipeline have addiction phenotypes. We will subject these lines to deep drug abuse–relevant phenotyping, including drug self-administration, transcriptional profiling from key neuronal tissues, and whole brain imaging. The data from these will be integrated using systems analysis. The successful completion of this project will yield dozens of novel mouse models with detailed transcriptome, and neuroanatomical profile to establish mechanistic insight into this behavioral abnormality. These can serve are a resource for the research community for therapeutics development.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.7554/elife.63207
发表时间: 2021-03-17
期刊: eLife
影响因子: 7.7
作者: [Geuther BQ, Peer A, He H, Sabnis G, Philip VM, Kumar V]
通讯作者: Kumar V
DOI: 10.1016/j.celrep.2021.110231
发表时间: 2022-01-11
期刊: Cell reports
影响因子: 8.8
作者: [Sheppard K, Gardin J, Sabnis GS, Peer A, Darrell M, Deats S, Geuther B, Lutz CM, Kumar V]
通讯作者: Kumar V
Machine learning based frailty index for the genetically diverse mice
  • 批准号:
    10513177
  • 项目类别:
  • 资助金额:
    $33.6万
  • 财政年份:
    2022
  • 负责人:
    VIVEK KUMAR
  • 依托单位:
Machine learning based frailty index for the genetically diverse mice
  • 批准号:
    10688138
  • 项目类别:
  • 资助金额:
    $34.44万
  • 财政年份:
    2022
  • 负责人:
    VIVEK KUMAR
  • 依托单位:
The Short Course on the Application of Machine Learning for Automated Quantification of Behavior
  • 批准号:
    10600079
  • 项目类别:
  • 资助金额:
    $15.44万
  • 财政年份:
    2022
  • 负责人:
    VIVEK KUMAR
  • 依托单位:
Google Cloud Pipeline for mouse behavior and frailty assessment for the aging research community
  • 批准号:
    10827671
  • 项目类别:
  • 资助金额:
    $26.54万
  • 财政年份:
    2022
  • 负责人:
    VIVEK KUMAR
  • 依托单位:
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