Elucidating Genotype-Phenotype Relationship of Polygenic Dilated Cardiomyopathies
Elucidating Genotype-Phenotype Relationship of Polygenic Dilated Cardiomyopathies
批准号:
10532433
负责人:
THOMAS QUERTERMOUS
金额:
$12.86万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-12-16 至 2023-11-30
关键词:
3-DimensionalBioinformaticsBiological AssayBlood CirculationCRISPR screenCRISPR/Cas technologyCardiac MyocytesCardiovascular systemCell CommunicationCell LineCellsClustered Regularly Interspaced Short Palindromic RepeatsCollaborationsComplexCongenital cardiomyopathyCoupledDatabasesDevelopmentDilated CardiomyopathyDown-RegulationDrug ScreeningDrug TargetingEndothelial CellsEtiologyFamilyFibroblastsGene ExpressionGeneral PopulationGenesGeneticGenetic studyGenomeGenomicsGenotypeGrantHeartHeritabilityHuman GeneticsIndividualJournalsKnowledgeLibrariesMediatingModelingMolecularMorbidity - disease ratePaperPathogenesisPathogenicityPatientsPeripheral Blood Mononuclear CellPharmaceutical PreparationsPhenotypePrevalenceProtocols documentationPublicationsPublishingQiResearch PersonnelRiskRoleSignal TransductionTechniquesTechnologyTherapeuticTissue EngineeringTungstenUp-RegulationVariantbasecardiac tissue engineeringcell typeclinical phenotypecohortcombinatorialcostcost efficientdesign and constructiondruggable targetgene functiongene interactiongenetic variantgenome editingindexinginduced pluripotent stem cellinduced pluripotent stem cell derived cardiomyocytesmortalitynew therapeutic targetnext generation sequencingnovelrecruitscreeningsingle-cell RNA sequencingstem cellstherapeutically effectivetranscriptome sequencing
中文摘要
项目总结
英文摘要
PROJECT SUMMARY
Dilated cardiomyopathy (DCM) is a leading cause of morbidity and mortality worldwide, with an estimated
prevalence of 1:250 in the general population. Recent human genetic studies suggest that the complex
heritability of DCM may be due to a combination of polygenic causes. However, the complex interactions among
various genetic variants are less understood, hampering the development of effective therapeutics for DCM. To
achieve the latter, we will use state-of-the-art approaches by employing the induced pluripotent stem cell-derived
cardiomyocyte (iPSC-CM) platform coupled with tissue engineering, single cell RNA sequencing (scRNA-seq),
and CRISPR/dCas9 genome screening technologies to interrogate the interplay between genetic variants in the
etiology of DCM and identify novel drug target for polygenic DCM treatment. In Aim 1, we will generate iPSC
lines from 20 polygenic DCM patients and 10 controls from the same family cohort, and create 120 genome-
edited isogenic iPSC lines using CRISPR/Cas9. We will then differentiate the polygenic DCM iPSCs and
corresponding isogenic iPSC lines to iPSC-CMs. Using bioinformatic analysis, we will generate a gene
expression “score index” to assess the pathogenicity of each genetic variant and interactions between different
genetic variants. In Aim 2, we will generate 3D engineered heart tissues (EHTs) to elucidate functional
consequences of polygenic DCM variants at the 3D level. We will make 3D EHTs consisting of iPSC-CMs, iPSC-
derived endothelial cells (iPSC-ECs), and iPSC-derived fibroblasts (iPSC-FBs) from these 20 polygenic DCM
patients and their genome-edited isogenic iPSC lines, which allow us to simulate complex cell-cell interactions
and understand the crosstalk among different cell types. In Aim 3, we will use CRISPR/dCas9 genome screening
approach in combination with scRNA-seq technology to identify genes suitable as drug targets in polygenic DCM
iPSC-CMs. This novel technique provides a unique and cost-efficient way to systemically screen for druggable
genes associated with polygenic DCM. Collectively, the proposed aims will help us comprehensively elucidate
the genetic and molecular basis of polygenic DCM and discover novel drug targets for patient-specific
therapeutics.
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