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Functional RNA elements in the human genome

Functional RNA elements in the human genome
人类基因组中的功能性RNA元件
批准号:
8471148
负责人:
XIANG-DONG FU
金额:
$64.94万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-06-01 至 2014-08-31

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中文摘要
翻译
描述(由申请人提供):Pre-mRNA剪接对于高级真核生物基因组中正确的基因表达至关重要,因为绝大多数基因含有内含子,必须被准确识别和去除。最近的研究表明,bb0 - 90%的基因经历了选择性剪接,这被认为是脊椎动物不同细胞类型和组织中蛋白质组复杂性的原因之一,大量证据表明剪接改变会导致多种人类疾病。尽管基于模型小基因的生化解剖对剪接机制有了广泛的了解,但我们对有多少基因参与了选择性剪接的调控以及功能性RNA元件在人类基因组中的嵌入位置知之甚少。基于我们在当前奖励期的富有成效的研究,我们现在提出一个大胆的计划,系统地攻击我们关于选择性剪接调节的知识的关键差距。我们将利用最新和创新的基因组技术,开展三大研究方向。(1)我们将使用我们实验室最近开发的一个新的自动化平台来分析数百个针对人类基因组中每个注释基因的保守替代剪接事件。这种不偏不倚的方法将产生前所未有的信息,以揭示新的剪接调节因子和推断调节剪接的途径。(2)我们将重点关注参与单个调控途径的RNA结合蛋白,通过绘制它们与表达RNA的物理相互作用来阐明受调控剪接的分子基础。为此,我们将基于FLP-In 293细胞构建一个大型细胞系,在C端表达单个RNA结合蛋白作为v5标记蛋白,这将允许在类似和优化的条件下通过CLIP-seq(交联免疫沉淀和高通量测序)大规模绘制RNA-蛋白相互作用。(3)我们的第三个目标是利用从提出的映射和功能研究中产生的信息,通过使用机器学习和图形模型,开发一个集成的框架,用于从头预测拼接调节。这项研究有可能从根本上改变我们对剪接控制及其对人类疾病的贡献的看法。
英文摘要
DESCRIPTION (provided by applicant): Pre-mRNA splicing is essential for proper gene expression in higher eukaryotic genomes, as the vast majority of genes contain introns that have to be accurately recognized and removed. Recent studies have revealed that >90% of the genes undergo alternative splicing, which is believed to contribute to the complexity of the proteome in different cell types and tissues in vertebrates and abundant evidence suggests that altered splicing causes a variety of human diseases. Despite extensive knowledge on the splicing mechanism based on biochemical dissection of model minigenes, we know little about how many genes are involved in the regulation of alternative splicing and where the functional RNA elements are embedded in the human genome. Built on our productive research in the current award period, we now propose a bold plan to systematically attack the critical gap of our knowledge about the regulation of alternative splicing. We will pursue three major lines of research by utilizing the latest and innovative genomics technologies. (1) We will use a new, automated platform recently developed in our lab to profile hundreds of conserved alternative splicing events against every annotated genes in the human genome. This unbiased approach will generate unprecedented information to uncover novel splicing regulators and deduce pathways in regulated splicing. (2) We will focus on RNA binding proteins involved in individual regulatory pathways to elucidate the molecular basis for regulated splicing by mapping their physical interactions with expressed RNA. For this purpose, we will construct a large panel of cell lines based on FLP-In 293 cells to express individual RNA binding proteins as a V5-tagged protein at the C- terminus, which will permit large-scale mapping of RNA-protein interactions by CLIP-seq (CrossLinking ImmunoPrecipitation followed by high throughput sequencing) under a similar and optimized set of conditions. (3) Our third goal is to use the information generated from the proposed mapping and functional studies to develop an integrated framework for de novo prediction of splicing regulation by using machine-learning and graphical models. This research has the potential to fundamentally change our view on splicing control and its contribution to human disease.
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