Toward a comprehensive functional annotation of the human genome
Toward a comprehensive functional annotation of the human genome
批准号:
8709029
负责人:
Richard M Myers
金额:
$36.02万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-21 至 2016-07-31
关键词:
AddressAnimal ModelAntibodiesBackBase SequenceBiologicalBiological AssayBiological SciencesBiologyCardiovascular DiseasesCatalogingCatalogsCell CountCell LineCellsChIP-seqCodeCollaborationsCommunitiesDNADNA MethylationDNA SequenceDNA-Binding ProteinsDataData ElementData QualityDepositionDevelopmentDimensionsDiseaseDistantElementsEncyclopedia of DNA ElementsEnsureEpitopesEvaluationExonsFunctional RNAGene ExpressionGene Expression ProfileGene Expression RegulationGenesGenomeGenomicsGoalsHealthHistonesHumanHuman Cell LineHuman GenomeImmunoprecipitationIndiumInstitutionIntronsMalignant NeoplasmsMapsMeasurementMeasuresMedicalMessenger RNAMethodsMethylationMetricMicroRNAsMissionMolecularMonoclonal AntibodiesMouse Cell LineMusMutationNucleotidesPatternPhasePopulationProductionProtein IsoformsQuality ControlRNARNA SplicingRegulatory ElementReporter GenesReproducibilityResearch InfrastructureResearch PersonnelResolutionResourcesRoboticsSamplingSiteSystemTechnologyTestingTissue PreservationTissuesTranscriptTranscriptional RegulationTransfectionWorkbasebisulfitecell typecofactorcomparativeempoweredexperiencegenome databasegenome sequencinggenome-wideimprovedmeetingsmembernew technologypromoterresearch studyresponsescale uptranscription factortranscriptome sequencingworking group
中文摘要
ENCODE计划的目标是为生物医学界提供完整的、生物学上可解释的人类基因组注释。这意味着发现和绘制所有基因的所有部分,包括外显子,内含子,启动子和顺式调控序列,在ENCODE项目的前几个阶段,本提案的申请人开发并应用了强大的,高通量的全基因组方法来确定转录因子占用,评估DNA甲基化,鉴定RNA转录物,并实验测试候选调控元件和突变。将前一阶段的经验与所产生的技术和分析平台以及申请人现有的高效基础设施相结合,形成了对NHGRI RFA-HG-11-024(“扩展人类和模式生物中的DNA元件百科全书(ENCODE)”)的响应的基础。这个应用程序提出了一个雄心勃勃的建议,即扩展ENCODE的生物学维度,基本上包括所有用于占用测量的转录因子,并从数百种非常特定的细胞类型,甚至单个细胞中产生转录组。具体计划是:1)以高分辨率确定两种或两种以上细胞类型中所有转录因子和主要辅因子的全基因组占用率;2)在300多种明确的、未培养的细胞类型中绘制和量化所有信使RNA转录物、microRNAs和其他非核糖体RNA;3)在300多种细胞类型中以核苷酸分辨率绘制DNA甲基化状态的全基因组图谱;4)应用高通量瞬时转染检测系统检测- 2000个候选调控元件对基因调控的影响。本项目的所有实验工作都将通过适当的质量指标进行评估,在质量控制之后,所有数据将迅速存入公开的、可免费访问的基因组数据库。此外,计算分析,包括对比较和人口基因组数据的评价,将与实验生产结合起来,以帮助确保质量,并以对生物学家、基因组学家和医学研究人员有用的形式获取信息。完成这些具体目标将使生物医学研究人员能够更好、更迅速地了解基因组疾病(包括癌症、心血管疾病和几乎所有常见疾病)突变的后果,从而更充分地认识基因组学影响人类健康的潜力。
英文摘要
The goal of the ENCODE Project is to provide the biomedical community with a complete and biologically interpretable annotation of the human genome. This means discovering and mapping all parts of all genes, including exons, introns, promoters and cis-regulatory sequences, in previous phases of the ENCODE Project, the applicants of this proposal developed and applied robust, high-throughput, genome-wide methods for determining transcription factor occupancy, assessing DNA methylation, identifying RNA transcripts, and experimentally testing candidate regulatory elements and mutations. The combination of experiences from the previous phases with the resulting technology and analysis platforms and the existing, highly productive infrastructure of the applicants form the basis of this response to NHGRI's RFA-HG-11-024 ("Expanding the Encyclopedia of DNA Elements (ENCODE) in the Human and Model Organisms"). This application presents an ambitious proposal to expand the biological dimensions of ENCODE to include essentially all transcription factors for measurements of occupancy and to produce transcriptomes from hundreds of very specific cell types, and even single cells. The specific plan is to: 1) determine genome wide occupancy for all transcription factors and major cofactors with high resolution in two or more cell types; 2) map and quantify all messenger RNA transcripts, microRNAs and other non-ribosomal RNAs in more than 300 well-defined, uncultured cell types; 3) map DNA methylation state genome-wide at nucleotide resolution in more than 300 cell types; and 4) apply a high-throughput transient transfection assay system to test the impact of -2,000 candidate regulatory elements on gene regulation. All experimental work in this project will be evaluated by appropriate quality metrics, and after quality control, all data will be rapidly deposited in publi, freely accessible genome databases. In addition, computational analyses, including evaluation of comparative and population genomics data, will be integrated with the experimental production to help ensure quality and to capture information in forms useful to biologists, genomicists, and medical researchers. Completion of these Specific Aims will enable biomedical researchers to better and more rapidly understand the consequences of mutations in genomic disorders, including cancer, cardiovascular disease, and almost ail common diseases and, therefore, to more fully realize the potential of genomics to impact human health.
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