Genome-wide analysis of regulated chromosomal domains: From mechanisms to cancer

染色体调控域的全基因组分析：从机制到癌症

• 批准号: 7226258
• 负责人: Eran Segal
• 金额: $ 24.84万
• 依托单位: WEIZMANN INSTITUTE OF SCIENCE
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-21 至 2011-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7226258
• 关键词: Accounting; Algorithms; Behavior; Biological; Cells; Chromatin; Chromatin Structure; Chromosome Structures; Chromosome abnormality; Condition; Data; Development; Diagnostic; Elements; Epigenetic Process; Eukaryotic Cell; Evolution; Fungal Genome; Gene Expression; Gene Expression Regulation; Genes; Genome; Genomics; Goals; Histones; Human; Internet; Link; Malignant Neoplasms; Maps; Memory; Methods; Modeling; Modification; Molecular; Molecular Profiling; Mus; Nucleosomes; Organism; Pattern; Play; Positioning Attribute; Process; Recording of previous events; Regulation; Research Personnel; Role; Site; Statistical Models; Thinking; Transcriptional Regulation; Yeasts; base; cancer cell; chromatin immunoprecipitation; comparative; comparative genomic hybridization; domain mapping; fly; genetic regulatory protein; genome-wide analysis; prognostic; programs; role model; stem; tool; tumor; tumorigenesis

DESCRIPTION (provided by applicant): Chromosomal organization and chromatin structure play a major role in the regulation of gene expression, with important functions in development, differentiation, and cancer. Our long-term goal is to understand their genome-wide effect on gene regulation by developing and applying probabilistic methods for identifying regulated chromosomal domains (CDs) - physical clusters of co-regulated genes, and the mechanisms that control them, from genome-wide expression profiles and other genomics data. Such a genome-wide study of CDs can provide the missing link between the emerging field of chromatin structure and regulation and the transcriptional readout that this struct ure is thought to direct. As chromatin and its modifications are implicated and targeted in a rang e of human cancers, this li nk to their transcriptiona I effect may have important diagnostic and thera peutic implications. Our specific aims are to: 1. Create a comprehensive map of chromosomal domains. We will develop probabilistic methods for identifying CDs from gene expression profiles and other genomics data, and an accompanying statistical framework for characterizing the function and behavior of CDs across different biological conditions. 2. Identify candidate molecular mechanisms that regulate CDs. We will construct detailed mechanistic models of CD regulation that integrate heterogeneous types of genomic data, including gene expression, DMA sequence, and histone modification data. These will suggest specific testable hypotheses regarding the sequence elements, regulatory proteins, and epigenetic features that are involved in CD regulation. 3. Elucidate the evolutionary history of chromosomal domains. If CDs serve an important function, we expect part of their organization to be conserved across organisms. We will develop a comparative genomic framework to identify evolutionary conserved CDs and sequence elements that are conserved within or at CD boundaries, and use these results to characterize the role of CDs in genome evolution. 4. Understand the role of chromosomal domains in cancer. Chromosomal aberrations are a hallmark of cancer cells. We will develop a probabilistic model of chromosome aberrations that integrates expression and comparative genomic hybridization (CGH) data to distinguish between mis-regulation of CDs and gross chromosomal changes, suggesting a unified model for the role of regional regulation in cancer.

描述（申请人提供）：染色体组织和染色质结构在基因表达的调节中发挥着重要作用，在发育、分化和癌症中具有重要功能。我们的长期目标是通过开发和应用概率方法来识别受调控的染色体域（CD）——共同调控基因的物理簇，以及从全基因组范围内控制它们的机制，从而了解它们对基因调控的全基因组影响。表达谱和其他基因组学数据。这种 CD 的全基因组研究可以提供新兴的染色质结构和调控领域与该结构被认为指导的转录读出之间缺失的联系。由于染色质及其修饰与一系列人类癌症有关并成为其靶标，这种与其转录效应的联系可能具有重要的诊断和治疗意义。我们的具体目标是： 1. 创建染色体域的综合图谱。我们将开发用于从基因表达谱和其他基因组数据中识别 CD 的概率方法，以及用于表征不同生物条件下 CD 的功能和行为的随附统计框架。 2. 确定调节 CD 的候选分子机制。我们将构建详细的 CD 调控机制模型，整合异质类型的基因组数据，包括基因表达、DMA 序列和组蛋白修饰数据。这些将提出关于 CD 调控涉及的序列元件、调控蛋白和表观遗传特征的具体可检验假设。 3. 阐明染色体结构域的进化历史。如果 CD 具有重要功能，我们期望其组织的一部分在生物体中得到保守。我们将开发一个比较基因组框架来识别进化保守的CD和在CD边界内或在CD边界处保守的序列元件，并利用这些结果来表征CD在基因组进化中的作用。 4. 了解染色体结构域在癌症中的作用。染色体畸变是癌细胞的标志。我们将开发一种染色体畸变的概率模型，该模型整合了表达和比较基因组杂交（CGH）数据，以区分 CD 的错误调节和总体染色体变化，为区域调节在癌症中的作用提出了一个统一的模型。