Functional Assays to Screen Genomic Hits

筛选基因组命中的功能分析

• 批准号: 9306932
• 负责人: Ivan Paul Moskowitz
• 金额: $ 50.51万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-08 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9306932
• 关键词: 3-Dimensional; Address; Affect; Alleles; Arrhythmia; Bacterial Artificial Chromosomes; Biological; Biological Assay; Biology; Cardiac; Cardiac Myocytes; Cardiac conduction system; Cause of Death; Cell model; Cells; Cessation of life; Chromatin; Chromosomes; Coupled; Data; Dimensions; Disease; Distant; Engineering; Enhancers; Gene Expression; Gene Expression Regulation; Gene Targeting; Gene Transfer Techniques; Genes; Genetic; Genetic Transcription; Genetic Translation; Genetic Variation; Genetic screening method; Genome; Genome Mappings; Genomics; Goals; Health; Heart; Heart Diseases; Human; Human Genome; Individual; Knowledge; Link; Location; Maps; Measures; Mediating; Medical; Molecular; Molecular Genetics; Mus; Muscle Cells; Mutation; Nature; Pathologist; Phase; Phenotype; Predisposition; Property; Public Health; Reagent; Regulatory Element; Reporter; Research Personnel; Resolution; Risk; Role; Signal Transduction; System; Systems Analysis; Systems Biology; Technology; Testing; Transcript; Transgenic Mice; Transgenic Organisms; Untranslated RNA; Variant; Western World; base; disorder risk; embryonic stem cell; experimental study; gene function; genetic association; genetic variant; genome wide association study; genome-wide; heart electrical activity; heart rhythm; in vivo; induced pluripotent stem cell; insight; novel; novel strategies; novel therapeutics; promoter; public health relevance; skills; sudden cardiac death; trait

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.

描述（由申请人提供）：我们提出了一个综合实验系统，以识别和功能表征与心脏传导特征和心律失常易感性相关的非编码遗传变异。传导系统疾病是最常见的心脏病之一，仅心源性猝死在美国每年就导致超过32.5万人死亡。这一重大公共卫生问题促使人们加紧努力查明