Computational & Functional Annotation of the Zebrafish Genome Regulatory Toolbox
计算型
基本信息
- 批准号:8330288
- 负责人:
- 金额:$ 38.48万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-29 至 2014-07-31
- 项目状态:已结题
- 来源:
- 关键词:Animal ModelAutomobile DrivingBinding SitesBiologicalBiological AssayCandidate Disease GeneCatalogingCatalogsClinicalCodeCommunitiesComplexComprehensionComputational TechniqueComputer SimulationCoupledDNADataDevelopmentDevelopmental GeneDevelopmental ProcessDiseaseElementsEmbryoEnhancersEvolutionFertilizationFunctional RNAGene ExpressionGene Expression RegulationGenerationsGenesGeneticGenomeGenomicsHourHumanHuman DevelopmentHuman GenomeIn Situ HybridizationIndividualInternetKnock-outKnowledgeLampreysLocationModelingMolecularMorphologic artifactsMutationNucleic Acid Regulatory SequencesNucleotidesOpen Reading FramesOrganismOrthologous GenePathway interactionsPatternPhylogenetic AnalysisPlaguePreclinical Drug EvaluationPropertyRegulationRegulator GenesRegulatory ElementReporter GenesResearchResourcesScanningSharkSpecificityTestingTimeTissuesTransgenesTransgenic OrganismsValidationWorkZebrafishbasecomputerized toolscostdrug candidategene discoverygenome sequencinggenome-widehigh throughput screeninghuman diseaseimprovedin vivointerestknock-downmutantnovelpromoterresearch studysmall moleculeteleost fishtooltranscription factorvertebrate genomezebrafish genome
项目摘要
Computational & Functional Annotation of the Zebrafish Genome Regulatory Toolbox
Zebrafish with its growing arsenal of tools that allow the generation of transgenics, gene knockdowns and
knockouts, and mutant resources coupled with its high-throughput and cost efficiency is quickly becoming the
major animal model for drug screens and gene related studies. However, as with other vertebrate genomes,
the majority of the zebrafish genome (97%) is made up of non-genic sequences whose functional necessity
remains largely unknown. One vital function that is clearly embedded in these regions is gene regulation,
instructing genes when and where to turn on or off. However, unlike genes where we know their genomic
location, their code, and the consequences of nucleotide changes within them, in gene regulatory sequences
we don't have that knowledge. This knowledge is extremely vital, with a wide variety of clinical and molecular
data supporting these sequences to be an important driver for development, evolution, diversity, and disease.
In this proposal, we will combine advanced computational tools with high-throughput zebrafish functional
studies to annotate this noncoding terrain. Using and refining multiple vertebrate genome alignments we have
generated an unprecedented set of 166,693 zebrafish conserved noncoding elements (CNEs), with at least
8,805 regions having a direct ortholog in the human genome. Preliminary studies for a portion of these
sequences using a zebrafish transgenic enhancer assay, find 41% of these sequences to function as
enhancers at 24 to 48 hours post fertilization. Taking advantage of this transgenic assay we aim to screen 200
sequences a year for enhancer activity. These sequences will be selected from our large CNE set, sequences
whose enhancer activity and tissue-timepoint specificity will be predicted using sophisticated computational
tools, and community requested sequences. This characterization will not only allow the functional annotation
of these sequences, but will also generate a novel and extremely important toolkit of gene regulatory elements
that can drive expression of any gene of interest at precise locations and precise developmental time points. In
addition, we will also use the annotated regulatory landscape to discover novel genes with potential important
developmental function. This will be carried out by analyzing the expression patterns and functional
consequences due to knockdown of less characterized genes that lie in rich regulatory regions, a common sign
for the existence of important developmental gene regulators. Additional computational techniques will be used
to discover genes under tight regulation in novel tissue contexts, as well as pathways which are currently not
studied in the context we find them enriched in. All the data generated in this proposal, both computational and
functional, will be made available to the community through a dedicated web browser
(http://zebrafish.stanford.edu/) as well as integration into ZFIN, Ensembl, and the UCSC genome browser.
Combined, our work will advance zebrafish as the major animal model for annotating and characterizing the
noncoding portion of the vertebrate genome.
斑马鱼基因组调节工具箱的计算和功能注释
斑马鱼的工具越来越多,可以产生转基因,基因敲低和
淘汰赛和突变资源以及其高通量和成本效率的努力正在迅速成为
药物筛查和基因相关研究的主要动物模型。但是,与其他脊椎动物基因组一样
斑马鱼基因组的大多数(97%)由非基因序列组成,其功能必要性
仍然是未知的。这些区域中明显嵌入的一种重要功能是基因调节,
指导基因何时何地打开或关闭。但是,与我们知道其基因组的基因不同
在基因调节序列中,位置,代码以及核苷酸的后果发生变化
我们没有那种知识。这些知识至关重要,有多种临床和分子
支持这些序列的数据是发展,进化,多样性和疾病的重要驱动力。
在此提案中,我们将将高级计算工具与高通量斑马鱼功能相结合
研究以注释这一非编码地形。使用和完善多个脊椎动物基因组比对我们有
产生了前所未有的166,693个斑马鱼保守的非编码元素(CNES),至少具有至少
8,805个地区在人类基因组中具有直接直系同源物。这些部分的初步研究
使用斑马鱼转基因增强剂测定法序列,找到其中41%的序列以功能为
受精后24至48小时的增强剂。利用这种转基因测定,我们旨在筛选200
每年进行增强活性的序列。这些序列将从我们的大型CNE集序列中选择
将使用复杂的计算来预测其增强器活性和组织时间特异性
工具和社区要求的序列。这种表征不仅将允许功能注释
在这些序列中,但还将生成一个基因调节元件的新颖且极为重要的工具包
这可以在精确位置和精确的发育时间点上驱动任何感兴趣的基因的表达。在
此外,我们还将使用带注释的调节景观来发现具有潜在重要重要性的新基因
发展功能。这将通过分析表达模式和功能来执行
后果是由于在丰富的调节区域中击倒较低的基因而引起的,这是一个常见的迹象
为了存在重要的发展基因调节剂。将使用其他计算技术
在新的组织环境中发现基因,以及目前尚未发现的途径
在上下文中进行了研究,我们发现它们丰富了。
功能性,将通过专用的Web浏览器提供给社区
(http://zebrafish.stanford.edu/)以及集成到Zfin,Ensembl和UCSC基因组浏览器中。
结合在一起,我们的工作将推动斑马鱼作为注释和表征的主要动物模型
脊椎动物基因组的非编码部分。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The enhancer landscape during early neocortical development reveals patterns of dense regulation and co-option.
- DOI:10.1371/journal.pgen.1003728
- 发表时间:2013-08
- 期刊:
- 影响因子:4.5
- 作者:Wenger AM;Clarke SL;Notwell JH;Chung T;Tuteja G;Guturu H;Schaar BT;Bejerano G
- 通讯作者:Bejerano G
A tetra-gonal polymorph of bis-[hydro-tris-(pyrazol-1-yl)borato]iron(II).
双-[氢-三-(吡唑-1-基)硼酸]铁(II)的四方多晶型物。
- DOI:10.1107/s1600536811025839
- 发表时间:2011
- 期刊:
- 影响因子:0
- 作者:Ni,Zhong-Hai;Li,Guo-Ling;Ma,Rui;Nie,Jing
- 通讯作者:Nie,Jing
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Nadav Ahituv其他文献
Nadav Ahituv的其他文献
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{{ truncateString('Nadav Ahituv', 18)}}的其他基金
EDGE CMT: Genomic characterization of mammalian adaptation to frugivory
EDGE CMT:哺乳动物适应果食的基因组特征
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- 资助金额:
$ 38.48万 - 项目类别:
EDGE CMT: Genomic characterization of mammalian adaptation to frugivory
EDGE CMT:哺乳动物适应果食的基因组特征
- 批准号:
10551234 - 财政年份:2022
- 资助金额:
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Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systems
影响动态细胞系统转录调控的变异体和元件的大规模并行表征
- 批准号:
10471968 - 财政年份:2021
- 资助金额:
$ 38.48万 - 项目类别:
Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systems
影响动态细胞系统转录调控的变异体和元件的大规模并行表征
- 批准号:
10295427 - 财政年份:2021
- 资助金额:
$ 38.48万 - 项目类别:
Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systems
影响动态细胞系统转录调控的变异体和元件的大规模并行表征
- 批准号:
10676325 - 财政年份:2021
- 资助金额:
$ 38.48万 - 项目类别:
Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systems
影响动态细胞系统转录调控的变异体和元件的大规模并行表征
- 批准号:
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- 批准号:
10852690 - 财政年份:2020
- 资助金额:
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