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Transcriptional modules in human heart failure

人类心力衰竭的转录模块

基本信息

批准号：
7660403
负责人：
THOMAS P. CAPPOLA
金额：
$ 19.69万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-08-01 至 2011-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7660403
关键词：
Address Adult Animal Model Animals Basic Science Binding Biochemical Biological Assay Biology Biometry Budgets Cardiac Cardiac Myocytes Clinical Investigator Clinical Trials Cohort Studies Collaborations Complex Computational Biology Computing Methodologies Data Databases Development Drug Delivery Systems Failure Family Future Gene Expression Genes Genetic Transcription Genome Genomics Heart Heart Diseases Heart Hypertrophy Heart failure Hospitalization Human Hypertrophy In Vitro Individual Laboratories Lead Light Literature Mechanics Mediating Methods Molecular Molecular Genetics Muscle Cells Neurohormones Pathogenesis Pathologic Pathway interactions Phenotype Play Publishing Reporter Genes Research Research Proposals Role Sequence Alignment Stress Techniques Testing Transgenic Organisms Work cohort experience genome sequencing human disease human subject insight novel novel strategies promoter research study stressor transcription factor

项目摘要

DESCRIPTION (provided by applicant): Heart failure has become the most common reason for adult hospitalization in the industrialized world. Basic research has shown that pathologic stresses promote heart failure via activation of cardiac transcription factors (TFs). These TFs interact with each other and with co-activators to form "transcriptional modules" (TMs) that alter cardiac gene expression to cause myocyte hypertrophy and failure. In light of their critical role in heart failure pathogenesis, TMs have been the subject of intensive research in animal models over the past decade. By contrast, the role of TMs in human heart failure remains largely unexplored because of limited methods for studying TFs in human subjects. We have piloted computational approaches that enable assessment of TF function in the failing human heart by integrating cardiac gene expression data from microarray experiments with readily available genome sequence data. However, these do not sufficiently address the complexity of the underlying biology, and more rigorous methods are needed. The purpose of this exploratory/developmental research proposal is to determine transcriptional modules (TMs) associated with human heart failure using a refined computational approach and to experimentally validate the most promising TM using standard in vitro techniques. We will develop novel integrative approaches to determine TMs associated with human heart failure and apply them to the Penn Cohort, the largest study of human cardiac gene expression in the published literature. These approaches integrate whole genome expression data with data from promoter sequences, TF binding motifs, and cross-species sequence alignments. Our most promising newly identified heart failure TM will be validated experimentally using in vitro reporter gene assays in cardiac myocytes. This interdisciplinary proposal will build on existing collaboration between a clinical investigator, a computational biologist, a biostatistician, and a molecular biologist. Our research will determine TMs directly relevant to the pathogenesis of human heart failure. In doing so, we will extend an important body of work in animal models to the arena of clinical investigation. The specific heart failure TMs we identify will become the focus of future research performed by our own group and by others. These studies may ultimately lead to new drugs that target transcriptional mechanisms of hypertrophy, a central feature of heart failure that is not directly targeted by any current therapy. Lastly, the computational methods we develop should have broad application to study other human diseases. Heart failure has become the most common reason for adult hospitalization in the industrialized world. Research performed over the past decade has determined that cardiac transcription factors play a crucial role in the pathogenesis of heart failure, but these findings have not been extended to human subjects. This proposal will develop and apply novel genomic approaches to study the role of cardiac transcription factors in human subjects with advanced heart failure.

描述（由申请人提供）：心力衰竭已成为工业化国家成人住院治疗的最常见原因。基础研究表明，病理性应激通过激活心脏转录因子（TF）促进心力衰竭。这些转录因子相互作用，并与辅激活因子形成“转录模块”（TM），改变心脏基因表达，导致心肌细胞肥大和衰竭。鉴于其在心力衰竭发病机制中的关键作用，TM在过去十年中一直是动物模型中深入研究的主题。相比之下，由于研究人类受试者TF的方法有限，TM在人类心力衰竭中的作用在很大程度上仍未探索。我们已经试点的计算方法，使TF功能在失败的人类心脏的评估，通过整合心脏基因表达数据从微阵列实验与现成的基因组序列数据。然而，这些并不足以解决基础生物学的复杂性，需要更严格的方法。本探索性/发展性研究提案的目的是使用精细的计算方法确定与人类心力衰竭相关的转录模块（TM），并使用标准体外技术实验验证最有前途的TM。我们将开发新的综合方法来确定与人类心力衰竭相关的TM，并将其应用于Penn队列研究，这是已发表文献中最大的人类心脏基因表达研究。这些方法将全基因组表达数据与启动子序列、TF结合基序和跨物种序列比对的数据整合在一起。我们最有前途的新发现的心力衰竭TM将在心肌细胞中使用体外报告基因测定进行实验验证。这个跨学科的建议将建立在临床研究者，计算生物学家，生物统计学家和分子生物学家之间的现有合作基础上。我们的研究将确定与人类心力衰竭发病机制直接相关的TM。在这样做的过程中，我们将把动物模型的重要工作扩展到临床研究的竞技场。我们确定的特定心力衰竭TM将成为我们自己的小组和其他人未来研究的重点。这些研究可能最终导致靶向肥大转录机制的新药，肥大是心力衰竭的一个中心特征，目前任何治疗都没有直接靶向。最后，我们开发的计算方法应该有广泛的应用，以研究其他人类疾病。心力衰竭已成为工业化国家成人住院治疗的最常见原因。在过去的十年中进行的研究已经确定，心脏转录因子在心力衰竭的发病机制中起着至关重要的作用，但这些发现尚未扩展到人类受试者。该提案将开发和应用新的基因组方法来研究心脏转录因子在晚期心力衰竭患者中的作用。