Investigation of Promoter Sequence-Function Relationships in a Model Retrovirus

模型逆转录病毒启动子序列-功能关系的研究

• 批准号: 8453473
• 负责人: Adam P Arkin
• 金额: $ 29.66万
• 依托单位: UNIVERSITY OF CALIFORNIA BERKELEY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2015-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8453473
• 关键词: Address; Architecture; Behavior; Binding Sites; Biological Models; Biology; Cells; Characteristics; Chromatin; Clinical; Computer Simulation; DNA; Data; Development; Environment; Epigenetic Process; Evolution; Experimental Models; Feedback; Future; Gene Expression; Gene Expression Regulation; Generations; Genetic; Genetic Transcription; Genome; Genomics; Goals; HIV; HIV Long Terminal Repeat; HIV-1; Highly Active Antiretroviral Therapy; Human; Human Genome; Individual; Investigation; Laboratories; Lead; Libraries; Life Cycle Stages; Link; Location; Long Terminal Repeats; Measurement; Measures; Modeling; Molecular Virology; Mutation; Parents; Patients; Pattern; Pharmaceutical Preparations; Phase; Population; Positioning Attribute; Process; Production; Property; Proviruses; Recruitment Activity; Regulation; Retroviridae; Role; Site; System; Systems Biology; Terminal Repeat Sequences; Therapeutic; Training; Transcriptional Regulation; Variant; Viral; Viral Genes; Virulence; Virus; Work; design; effective therapy; human disease; insertion/deletion mutation; insight; latent infection; mRNA Expression; mutant; promoter; public health relevance; response; tat Protein; transcription factor

DESCRIPTION (provided by applicant): Eukaryotic gene expression is regulated by numerous mechanisms, including the identities, precise sequences, and architectural arrangements of key transcription factor binding sites (TFBSs) within a promoter, as well as its genomic environment. For example, once retroviruses integrate their genomes into a semi- random location of the host cell genome, they utilize a highly diverse promoter sequence to integrate the genetic and epigenetic inputs at a particular integration site to initiate viral gene expression and replication. Given the diversity in regulatory sequences and genomic environments in the human genome, however, it is highly challenging to understand how such a promoter transforms a number of regulatory inputs into a temporal pattern of mRNA expression. We thus propose to apply a systems biology approach to investigate the properties of an important and highly variable promoter, the Human Immunodeficiency Virus (HIV-1) long terminal repeat (LTR), to elucidate principles by which broad diversity in promoter sequence and genomic environment regulate gene expression dynamics and replication, work that will yield new quantitative insights into transcriptional regulation and that may aid in the future design of enhanced therapeutics. The two fundamental features of HIV that render it difficult to treat are, like many viruses, its evolution and it ability to establish a latent, inactive population. In the first phase of this work, we developed experimental and computational models of subtype B HIV gene expression and latency, linked through quantitative measurements at the single cell and population level. In particular, we found that stochastic effects in gene expression at a subset of integration positions could lead to highly "noisy" gene expression dynamics that may influence viral replication and latency. However, while laboratory strains of subtype B HIV are the most broadly studied, due to its very rapid rate of evolution, HIV generates highly variable sequences within an individual patient, and this process has accumulated over years at a global scale to yield diverse HIV subtypes with stereotypical differences in architecture, including in the LTR. It is clear that changes in LTR sequence impact numerous aspects of the viral life cycle - including gene expression, replication, and likely virulence - and we now propose to develop deeper insights into the sequence-function relationships of this highly important mammalian promoter. In particular, we hypothesize that different architectures of host TFBSs and chromatin environment interact in predictable ways to control gene expression dynamics of the viral LTR and that models capable of making such predictions can be formulated to predict gene expression behavior of virus containing both synthetic and natural/clinically isolated promoters. The proposed work will thus yield unique, quantitative insights into mechanisms of mammalian gene regulation, in a system that is of fundamental importance to human disease.

描述（由申请人提供）：真核基因表达受多种机制调节，包括启动子内关键转录因子结合位点（TFBS）的身份、精确序列和结构排列，以及其基因组环境。例如，一旦逆转录病毒将其基因组整合到宿主细胞基因组的半随机位置中，它们就利用高度多样性的启动子序列在特定整合位点整合遗传和表观遗传输入以启动病毒基因表达和复制。然而，鉴于人类基因组中调控序列和基因组环境的多样性，理解这样的启动子如何将许多调控输入转化为mRNA表达的时间模式是非常具有挑战性的。因此，我们建议应用系统生物学方法来研究一个重要的和高度可变的启动子，人类免疫缺陷病毒（HIV-1）长末端重复序列（LTR）的特性，以阐明启动子序列和基因组环境的广泛多样性调节基因表达动力学和复制的原理，这项工作将对转录调控产生新的定量见解，并可能有助于未来设计增强的治疗方法。 像许多病毒一样，艾滋病毒的两个基本特征使其难以治疗，这是它的进化和建立潜伏，不活跃群体的能力。在这项工作的第一阶段，我们开发了B亚型HIV基因表达和潜伏期的实验和计算模型，通过在单细胞和群体水平上的定量测量来联系。特别是，我们发现，在一个子集的整合位置的基因表达的随机效应可能会导致高度“嘈杂”的基因表达动态，可能会影响病毒的复制和潜伏期。 然而，尽管B亚型HIV的实验室毒株是最广泛研究的，但由于其非常快速的进化速率，HIV在个体患者体内产生高度可变的序列，并且该过程在全球范围内积累多年，产生了具有结构（包括LTR）的定型差异的多种HIV亚型。很明显，LTR序列的变化会影响病毒生命周期的许多方面-包括基因表达，复制和可能的毒力-我们现在建议更深入地了解这个非常重要的哺乳动物启动子的序列-功能关系。特别地，我们假设宿主TFBS和染色质环境的不同结构以可预测的方式相互作用以控制病毒LTR的基因表达动态，并且能够进行这种预测的模型可以被制定为预测含有合成和天然/临床分离的启动子的病毒的基因表达行为。因此，拟议的工作将产生独特的，定量的见解哺乳动物基因调控的机制，在一个系统，是人类疾病的根本重要性。