Functional RNA elements in the human genome
Functional RNA elements in the human genome
批准号:
7628128
负责人:
XIANG-DONG FU
金额:
$65.0万
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 2011-05-31
关键词:
AddressAlternative SplicingAntibodiesAntibody FormationAtlasesBase SequenceBinding SitesBiochemicalBioinformaticsBiologicalBiological AssayCellsClassificationCloningCodeCoupledCouplingDNADataData AnalysesDetectionDiseaseElementsEventExperimental DesignsFunctional RNAFutureGene ExpressionGenesGenomeGenomicsGoalsHumanHuman GenomeImmunoprecipitationIndiumLeadLigationLightLinkMammalian CellMapsMessenger RNAMethodsOligonucleotidesPhysical Map of the Human GenomePolypyrimidine Tract-Binding ProteinPost-Transcriptional RegulationProcessProtein BindingProtein IsoformsPublishingRNARNA BindingRNA ProcessingRNA SplicingRNA-Binding ProteinsRelative (related person)ResearchSensitivity and SpecificitySiteSystemTechnologyWorkbasecrosslinkdesigndigitalempoweredexperiencegenome-wideimprovedin vivoinsightinterestmRNA Precursornovelphysical mappingtechnology development
中文摘要
描述(由申请人提供):该项目旨在系统地解码人类基因组中的功能RNA元件。该提案整合了几项最新的技术进步,并充分利用了我们实验室中Solexa系统的可用性。Fu博士和Yeo博士在RNA研究方面拥有丰富的实验和计算专业知识,并将共同领导团队在三个具体目标中开展拟议的项目:(1)我们建议把CLIP(交联免疫沉淀)技术与高通量测序相结合,以鉴定大量RNA结合蛋白的体内结合位点,最初集中于参与组成性和调节性前mRNA加工的RNA结合蛋白。这些结果有望产生新的生物学和机制的见解调节RNA加工在人类。为了准备该项目的未来扩展,我们正在与抗体生产公司合作,系统地生产针对人类基因组中编码的RNA结合蛋白的抗体。(2)在物理作图的同时,我们将把我们实验室先前开发的寡核苷酸选择/连接策略与高通量测序相结合,以进行可变剪接的数字分析。在经历了用于检测mRNA亚型的所有基于阵列的系统之后,我们相信当前的实验设计将通过克服与基于阵列的方法相关的所有技术问题来产生关于调节剪接的定量信息,具有高灵敏度和特异性。(3)我们将对目标1和2中生成的物理图谱和功能图谱数据进行生物信息学分析,以推断人类基因组中的调控RNA元件。这些数据将进一步与其他大规模的基因组序列分析相结合,例如计算预测的RNA元件,跨基因组的保守性以及与已知剪接位点的耦合。我们相信,这个项目将作出独特的贡献,RNA基因组学以及我们的理解一般的基因表达的转录后调控。
项目叙述:人类基因的表达在DNA和RNA水平上都受到调控。补充大多数致力于破译功能性DNA元件的努力,这个建议的重点是在人类基因组中的功能性RNA元件的一个大面板的RNA结合蛋白的物理映射加上替代mRNA亚型表达的功能分析。实验产生的数据将与计算推导的RNA元件的其他大规模分析相结合,以了解RNA水平上调控基因表达背后的一般原理,这具有很高的潜力,可以揭示人类细胞中调控剪接的密码,并为各种疾病机制提供新的线索。
英文摘要
DESCRIPTION (provided by applicant): This project is designed to systematically decode functional RNA elements in the human genome. The proposal integrates several recent technological advances and capitalizes the availability of the Solexa system in our lab. Drs. Fu and Yeo have extensive experimental and computational expertise in RNA research and will jointly lead the team to carry out the proposed project in three specific aims: (1) We propose to couple the CLIP (Crosslinking ImmunoPrecipitation) technology with high throughput sequencing to identify in vivo binding sites for a large number of RNA binding proteins, focusing initially on RNA binding proteins implicated in both constitutive and regulated pre-mRNA processing. The results are expected to generate novel biological and mechanistic insights into regulated RNA processing in humans. To prepare future expansion of the project, we are working with an antibody production company to systematically generate antibodies against RNA binding proteins encoded in the human genome. (2) In parallel to physical mapping, we will couple the oligo selection/ligation strategy previously developed in our lab with high throughput sequencing to perform digital analysis of alternative splicing. Having experienced all array-based systems for detecting mRNA isoforms, we believe that the current experimental design will generate quantitative information on regulated splicing with both high sensitivity and specificity by overcoming all technical problems associated with array-based approaches. (3) We will perform bioinformatics analysis of both physical mapping and functional profiling data generated in aim 1 and 2 to deduce regulatory RNA elements in the human genome. The data will be further integrated with other large-scale analysis of genomic sequences, such as computationally predicted RNA elements, conservation across genomes, and coupling with known splice sites. We believe that this project will make a unique contribution to RNA genomics as well as to our understanding of post-transcriptional regulation of gene expression in general.
Project Narrative: The expression of human genes is regulated at both DNA and RNA levels. Complementary to most effort devoted to decipher functional DNA elements, this proposal focuses on functional RNA elements in the human genome by physical mapping of a large panel of RNA binding proteins coupled with functional analysis of alternative mRNA isoform expression. The experimentally generated data will be integrated with other large-scale analysis of computationally deduced RNA elements to understand general principle behind regulated gene expression at the RNA level, which has a high potential to reveal a code for regulated splicing in human cells and shed new light on various disease mechanisms.
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