Functional Assays to Screen Genomic Hits
Functional Assays to Screen Genomic Hits
批准号:
9306932
负责人:
Ivan Paul Moskowitz
金额:
$50.51万
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:
2014-08-08 至 2019-06-30
关键词:
3-DimensionalAddressAffectAllelesArrhythmiaBacterial Artificial ChromosomesBiologicalBiological AssayBiologyCardiacCardiac MyocytesCardiac conduction systemCause of DeathCell modelCellsCessation of lifeChromatinChromosomesCoupledDataDimensionsDiseaseDistantEngineeringEnhancersGene ExpressionGene Expression RegulationGene TargetingGene Transfer TechniquesGenesGeneticGenetic TranscriptionGenetic TranslationGenetic VariationGenetic screening methodGenomeGenome MappingsGenomicsGoalsHealthHeartHeart DiseasesHumanHuman GenomeIndividualKnowledgeLinkLocationMapsMeasuresMediatingMedicalMolecularMolecular GeneticsMusMuscle CellsMutationNaturePathologistPhasePhenotypePredispositionPropertyPublic HealthReagentRegulatory ElementReporterResearch PersonnelResolutionRiskRoleSignal TransductionSystemSystems AnalysisSystems BiologyTechnologyTestingTranscriptTransgenic MiceTransgenic OrganismsUntranslated RNAVariantWestern Worldbasedisorder riskembryonic stem cellexperimental studygene functiongenetic associationgenetic variantgenome wide association studygenome-wideheart electrical activityheart rhythmin vivoinduced pluripotent stem cellinsightnovelnovel strategiesnovel therapeuticspromoterpublic health relevanceskillssudden cardiac deathtrait
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): We propose an integrative experimental system to identify and functionally characterize noncoding genetic variants associated with cardiac conduction traits and susceptibility to arrhythmias. Conduction system diseases are among the most prevalent heart diseases, with sudden cardiac death alone responding for over 325,000 deaths in the US per year. This major public health issue has spurred intensive efforts to identify
genetic factors underlying increased risk to conduction system diseases. Most genetic variants identified are noncoding in nature, making the determination of their impact on gene function and conduction system biology difficult to ascertain. Added to this difficulty, there is a generalized lack of proper experimental platforms to study cardiac system biology, such as cardiac conduction system myocytes in culture. Our proposal directly addresses these deficiencies. Capitalizing on the complementary expertise of the PIs, a genomicist that was a PI in the ENCODE project and a cardiac conduction system pathologist, we propose to create a multi-tiered experimental platform to identify causal SNPs from LD blocks associated with conduction system phenotypes from GWAS, and to systematically test for the impact of these SNPs on their putative transcriptional enhancer functions in cardiac conduction myocytes and in vivo, in transgenic mice. For the R21 phase of this project, we propose to generate a "mini-ENCODE" of the human heart, mapping genome-wide the coordinates of putative functional noncoding sequences in the human heart. We will overlay this information with a 3-D map of distant chromatin interactions in 50 loci containing noncoding SNPs associated with conduction system traits. Together, these data will point to the location of putative conduction system enhancers harboring SNPs associated with conduction system traits. In the R33 phase, we will utilize a multi-tiered platform to functionally interrogate the impact of these SNPs. We will initilly test candidate enhancers emerging from the R21 component. Toward that end, we developed a strategy to derive conduction system cardiomyocytes from induced pluripotent stem cells (iPSC). These cells are ideally suited for functional experiments involving conduction system biology. We will test candidate enhancers harboring disease-associated SNPs in these cells, establishing both their enhancer properties as well as allele-specific enhancer effects. A subset of conduction system enhancers will be further tested using state-of-the art mouse transgenics, to demonstrate their regulatory properties in vivo. Together, our proposed plan describes a logical, step-wise approach to identify causal SNPs within LD blocks associated with cardiac conduction system parameters and develops a novel and integrated experimental platform to functionally ascertain these disease-associated noncoding SNPs.
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会议论文
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依托单位:
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依托单位:
Transcriptional Control of Cardiac Conduction System Function by T-box Genes
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Transcriptional Control of Cardiac Conduction System Function by T-box Genes
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依托单位:
海外基金