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Center for 3D Structure and Physics of the Genome

Center for 3D Structure and Physics of the Genome
基因组 3D 结构和物理中心
批准号:
9150553
负责人:
ERIK J. SONTHEIMER
金额:
$75.43万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至

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中文摘要
翻译
项目摘要-生物验证 来自组件2和组件3的参考相互作用图的有效性,它们主要依赖于基于连接的 邻近作图将通过测试基因组拓扑及其动力学的独立方法进行评估 在细胞周期和细胞分化过程中。此外,拓扑特征与其他特征之间的相关性 过程(例如,局部转录速率、组蛋白修饰等)将暗示这些功能的功能角色 这是需要评估的。我们将使用强大的成像技术来测试和进一步阐述基因组 我们蜂窝系统中的结构和动力学。此外,特定元素的直接摄动 拓扑特征将定义它们在所研究的细胞过程中的生物学作用。 为了实现这些目标,我们将开发一套核心工具和试剂,并对选定的小 深度的TAD数量。将从分化的hESCs和分离的成纤维细胞中选择TADs用于 这些分析基于它们的动态拓扑行为和嵌入的基因的存在 动态表达模式。通过验证和扰动人类ESCs和 成纤维细胞,我们将能够比较和对比这些行为的相似和不同 系统。这些实验应该有助于定义构成、维护 以及拓扑相互作用的溶解。 在目标1中,我们将建立克隆的hESC和成纤维细胞“成像”系,从相同的系衍生而来 由该财团绘制和分析,其中包含集成成像工具(例如核酸酶-死亡Cas9 [dCas9]与荧光蛋白捆绑在一起的变体)。这些细胞系将被用来(I)成像动态TADS 使用多种独立的方法来测试它们的可视行为是否与结构和 从测序方法推断的转变,以及(Ii)测量TAD特异的转录 动态拓扑行为的后果以及动态拓扑行为的拓扑后果 转录行为。在目标2中,我们将设计TAD边界和TAD内部拓扑的突变 这些成像细胞系中的元素,并使用成像和分子分析来测试 在形成或维持基因组拓扑结构时发生改变的序列。在目标3中,我们将使用dCas9变体融合到 组蛋白修饰酶定义的拓扑学和功能效应的“写入”或“擦除”的特定 单个TADS内部和周围的染色质标记。此外,我们还将探讨创建 通过dCas9-相互作用域生成人工循环相互作用,从而获得新的拓扑特征。 通过这些研究生成的数据集将允许更准确地对 用于定量表示和解释参考相互作用图的计算模型以及 提供对地图中包含的拓扑特征的生物功能的关键见解。
英文摘要
Project Summary – Biological Validation The validity of the Reference Interaction Map from Components 2 and 3, which rely primarily on ligation-based proximity mapping, will be assessed through independent methods testing genomic topology and its dynamics during cell cycle and cell differentiation. In addition, the correlations between topological features and other processes (e.g. local transcription rate, histone modifications, etc.) will imply functional roles for these features that need to be evaluated. We will use powerful imaging techniques to test and further elaborate the genomic structure and dynamics within our cellular systems. In addition, the direct perturbation of elements of specific topological features will define their biological roles in the cellular processes under study. To pursue these goals, we will develop a core set of tools and reagents and characterize a selected small number of TADs in depth. TADs from differentiating hESCs and from dividing fibroblasts will be selected for these analyses based on their dynamic topological behaviors and on the presence of embedded genes with dynamic expression patterns. By validating and perturbing topological features in both human ESCs and fibroblasts, we will be able to compare and contrast the similarities and differences in the behavior of these systems. These experiments should help define the basic grammar that underlies the formation, maintenance and dissolution of topological interactions. In Aim 1, we will establish clonal hESC and fibroblast “imaging” lines, derived from the same lines that are being mapped and analyzed by the consortium, that harbor integrated imaging tools (e.g. nuclease-dead Cas9 [dCas9] variants tethered to fluorescent proteins). These cell lines will be used to (i) image dynamic TADs using multiple, independent methods to test whether their visible behavior is consistent with the structures and transitions inferred from sequencing approaches, and to (ii) measure the TAD-specific transcriptional consequences of dynamic topological behavior, as well as the topological consequences of dynamic transcriptional behavior. In Aim 2, we will engineer mutations in TAD boundaries and intra-TAD topological elements within these imaging cell lines, and use both imaging and molecular analyses to test the roles of the altered sequences in forming or maintaining genome topology. In Aim 3, we will use dCas9 variants fused to histone modification enzymes to define the topological and functional effects of “writing” or “erasing” specific chromatin marks within and around individual TADs. In addition we will probe the requirements for creating new topological features through the generation of artificial looping interactions via dCas9-interaction domains. The dataset generated through these studies will allow the more accurate parameterization of the computational models used to quantitatively represent and interpret the Reference Interaction Map as well as provide critical insights into the biological functions of the topological features contained within the map.
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Center for 3D Structure and Physics of the Genome
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