Constructing High-Resolution Ensemble Models of 3D Single-Cell Chromatin Conformations of eQTL Loci from Integrated Analysis of 4DN-GTEx Data towards Structural Basis of Differential Gene Expression

从 4DN-GTEx 数据的集成分析构建 eQTL 位点 3D 单细胞染色质构象的高分辨率整体模型，以构建差异基因表达的结构基础

• 批准号: 10357063
• 负责人: Jie Liang
• 金额: $ 30.94万
• 依托单位: UNIVERSITY OF ILLINOIS AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-22 至 2023-09-21
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10357063
• 关键词: 3-Dimensional; Accounting; Affect; Algorithms; Biological; Cells; Chromatin; Chromatin Fiber; Chromatin Structure; Data; Data Set; Databases; Elements; Enhancers; Epithelial; Fibroblasts; Frequencies; Funding; Gene Expression; Gene Expression Regulation; Gene Order; Genes; Genome; Genomics; Genotype; Genotype-Tissue Expression Project; Health; Heterogeneity; Hi-C; Human; Lymphocyte; Modeling; Molecular Conformation; Muscle Cells; Nature; Nuclear; Pattern; Polymers; Principal Investigator; Quantitative Trait Loci; Resolution; Resources; Role; Structure; Structure-Activity Relationship; Three-dimensional analysis; Tissue-Specific Gene Expression; Tissues; Validation; Variant; Work; base; chromosome conformation capture; comparative; computational pipelines; computerized tools; data resource; differential expression; gene interaction; genetic variant; genome sequencing; genomic locus; improved; insight; novel; programs; promoter; structural genomics; success; three dimensional structure; three-dimensional modeling; tool; transcriptome sequencing; whole genome

Program Director/Principal Investigator (Liang, Jie): PROJECT SUMMARY/ABSTRACT To enhance the utility of the common fund supported 4D Nucleome (4DN) database and Genotype- Tissue Expression (GTEx) database, we will develop novel computational tools for infering the spatial organizations of genomic elements to elucidate how eQTLs can regulate the expression of their target genes. Our tools will integrate 4DN and GTEx data and overcome the limit of the 2D nature of Hi-C frequency heatmaps, enabling construction of large 3D ensembles of high-resolution models of single-cell chromatin conformations for loci containing tissue-specific genetic variants associated with differential expression. By accounting for 3D polymer effects of random collision between genomic elements due to nuclear volume confinement, our tools will identify chromatin interactions that are statistically significant and likely biologically important. With the ensemble model of single-cell 3D chromatin conformations, our tools will further identify participating genes, promoters, enhancers, and other elements, and elucidate how they are physically arranged in space around genetic variants associated differential gene expression, including how units of higher order many-body interaction for gene regulation may form. In addition, our tools will quantify the presence of heterogeneous subpopulation of cells with different chromatin 3D configurations, allowing probabilistic understanding of the heterogeneous physical interactions around eQTLs. With planned comparative analysis of 3D chromatin conformations from different tissues, different spatial pattern of arrangement of genes and elements important for gene expression will be uncovered, resulting better understanding of genome structure and function relationship. Overall, we will demonstrate significant added-power of integrating two important Common Fund data resources and will provide tools to facilitate understanding the relationship between genome topology and gene expression. Our work will enable highly specific and compelling testable hypothesis on mechanisms of gene regulation to be formulated based on the reconstructed 3D spatial genome topology at loci that harbor variants and eGenes. Validation or refutation of these hypotheses will lead to new insight into the relationship of genome structure and genome function important for improving human health. 0925-0001 (Rev. 03/16) Page Continuation Format Page

项目主任/首席研究员（梁杰）： 项目概要/摘要 为了提高共同基金支持的 4D 核组 (4DN) 数据库和基因型的效用- 组织表达（GTEx）数据库，我们将开发新颖的计算工具来推断空间 基因组元件的组织，以阐明 eQTL 如何调节其靶标的表达 基因。我们的工具将集成 4DN 和 GTEx 数据并克服 Hi-C 2D 性质的限制 频率热图，能够构建高分辨率模型的大型 3D 整体 含有与相关组织特异性遗传变异的位点的单细胞染色质构象 差异表达。通过考虑基因组之间随机碰撞的 3D 聚合物效应 由于核体积限制，我们的工具将识别染色质相互作用 统计上显着并且可能具有生物学上的重要性。具有单细胞3D整体模型 染色质构象，我们的工具将进一步识别参与基因、启动子、增强子和 其他元素，并阐明它们如何在遗传变异周围的空间中物理排列 相关的差异基因表达，包括高阶多体相互作用的单位如何 基因调控可能形成。此外，我们的工具将量化异构的存在 具有不同染色质 3D 配置的细胞亚群，允许概率理解 围绕 eQTL 的异质物理相互作用。有计划的 3D 比较分析 不同组织的染色质构象、基因排列的不同空间模式以及 将发现对基因表达重要的元素，从而更好地了解基因组 结构与功能的关系。总的来说，我们将展示显着的附加功能 整合两个重要的共同基金数据资源，并将提供工具以促进 了解基因组拓扑和基因表达之间的关系。我们的工作将使 关于基因调控机制的高度具体且令人信服的可检验假设 根据包含变异和基因座的重建 3D 空间基因组拓扑制定 电子基因。这些假设的验证或反驳将导致对以下关系的新见解： 基因组结构和基因组功能对于改善人类健康很重要。 0925-0001（修订版。03/16）页面延续格式页面