Regulatory Morif Discovery in the Human Genome Using Comparative Genomics
Regulatory Morif Discovery in the Human Genome Using Comparative Genomics
批准号:
8330349
负责人:
Manolis Kellis
金额:
$41.46万
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-28 至 2015-10-31
关键词:
BiologyCharacteristicsCodeComplementData ElementData SetDevelopmentDictionaryDiseaseDistalElementsEnhancersFunctional RNAFungal GenomeGene ExpressionGene Expression RegulationGene TargetingGenesGenetic Enhancer ElementGenomeHumanHuman GenomeHuman Genome ProjectIndiumIndividualIntercistronic RegionIntronsKnowledgeLeadLengthLinkMammalsMapsMeasuresMethodologyMethodsModern MedicineMovementNucleic Acid Regulatory SequencesPathway interactionsPatternPhylogenyPlayPrevalenceProcessPromoter RegionsPropertyProteinsRegulationResearch InfrastructureResearch PersonnelRoleSignal TransductionSpecific qualifier valueSpecificityStimulusTestingTherapeuticTimeTreesUntranslated RegionsWorkbasecombinatorialcomparative genomicsflygenome-wideinsightmammalian genomepromoterresponse
中文摘要
描述(申请人提供):要实现人类基因组计划的承诺,我们不仅需要所有基因的部分清单,还需要全面了解它们如何共同发挥作用。除了基因,我们的基因组还包含控制基因表达以响应环境和发育刺激所需的所有信号。这些调控过程由短序列基序控制,负责在每个水平上调节基因的使用。尽管它们普遍存在,但由于它们的长度很短,而且它们可以发挥作用的距离各不相同,因此识别它们特别具有挑战性。鉴于它们的非凡重要性,对它们的系统理解仍然是现代生物学的主要挑战之一。在拟议的工作中,我们使用多个哺乳动物的比较基因组学来系统地识别和表征人类基因组中的调控基序,基于它们的进化保守性。我们通过全基因组保守开创了一种新的发现新基序的有效方法,并成功地将其应用于4个酵母基因组、12个苍蝇基因组以及人类启动子和3‘-UTRs。在这里,我们将这一方法扩展到整个人类基因组中进行基序发现:(1)我们开发了使用数十个哺乳动物物种进行基序发现和表征的方法;(2)我们识别重要的基序组合和语法,并揭示它们的功能角色;(3)我们发现基序聚集的功能区,并研究基序在指定增强子功能中的作用。考虑到NHGRI的测序工作现在涵盖了30多个哺乳动物基因组,特别是为了理解人类,拟议的工作是及时的。此外,大规模的系统实验正在提供必要的功能信息,以告知和验证我们的发现。通过揭示支配基因使用的潜在序列模式,我们补充了这些正在进行的努力,并提供了进入人类基因调控的具体构件的途径。这将使世界各地的研究人员能够通过它们的共同调节将新基因联系在一起,阐明非编码SNPs在调节性疾病中的作用,并为现代医学带来新的测试和疗法。监管主题的全球地图构成了全面了解监管、发展和疾病的必要知识基础设施。
英文摘要
DESCRIPTION (provided by applicant): To realize the promise of the human genome project, we need not only the parts list of all the genes, but also a comprehensive understanding of how they function together. Along with genes, our genome contains all the signals necessary for controlling gene expression in response to environmental and developmental stimuli. These regulatory processes are governed by short sequence motifs, responsible for modulating gene usage at every level. Despite their prevalence, regulatory motifs have been particularly challenging to identify, due to their short length and the varying distances at which they can act. Given their extraordinary importance, their systematic understanding still remains one of the major challenges of modern biology. In the proposed work, we use comparative genomics of multiple mammals to systematically identify and characterize regulatory motifs in the human genome based on their evolutionary conservation. We have pioneered a new powerful approach for de novo motif discovery by using genome-wide conservation, and successfully applied it in four yeast genomes, twelve fly genomes, and human promoters and 3'-UTRs. Here we expand this methodology to undertake motif discovery across the entire human genome: (1) we develop methods that use dozens of mammalian species for motif discovery and characterization; (2) we identify significant motif combinations and grammars and reveal their functional roles; and (3) we discover functional regions of motif clustering and study motif role in specifying enhancer function. The proposed work is timely, given that NHGRI's sequencing efforts now encompass more than 30 mammalian genomes, specifically for understanding the human. Moreover, large-scale systematic experimentation is providing the functional information necessary to inform and validate our findings. By revealing the underlying sequence patterns that govern gene usage, we complement these ongoing efforts and provide access to the concrete building blocks of human gene regulation. This will enable researchers world-wide to link new genes in pathways by their co-regulation, elucidate the role of non- coding SNPs in regulatory diseases, and lead to new tests and therapeutics for modern medicine. A global map of regulatory motifs constitutes a necessary knowledge infrastructure towards a comprehensive understanding of regulation, development, and disease.
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