In Vivo Characterization of Major ENCODE-Predicted Classes of Noncoding Elements
主要编码预测非编码元素类别的体内表征
基本信息
- 批准号:10241190
- 负责人:
- 金额:$ 135.88万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-02-01 至 2022-01-31
- 项目状态:已结题
- 来源:
- 关键词:AllelesBiochemicalBiologicalBiological AssayBiologyBoundary ElementsCRISPR/Cas technologyCategoriesChromatinClustered Regularly Interspaced Short Palindromic RepeatsCollectionCommunitiesComplexDNADNA MethylationDataData SetDevelopmentDiseaseElementsEmbryonic DevelopmentEncyclopediasEngineeringEnhancersExcisionGene ExpressionGene Transfer TechniquesGenesGenetic Enhancer ElementGenetic TranscriptionGenomicsGoalsGoldHealthHumanHuman GenomeHuman bodyIn VitroIndividualKnock-inKnock-in MouseKnock-outKnockout MiceLaboratoriesLeadLinkMethodsModelingMolecularMolecular ProfilingMusNational Human Genome Research InstituteOrganOrganismPhasePhenotypeProcessPropertyRegulatory ElementReporterResearch PersonnelResourcesSchemeTechnologyTestingTimeTissuesTransgenic MiceTransgenic OrganismsUntranslated RNAVariantWorkbaseepigenomicsexperimental studygenome editinggenome-widegenomic datahuman diseasein vivoinsightmouse genomeprogramsprotective allelerisk variantsynergismtooltranscriptometranscriptome sequencing
项目摘要
PROJECT SUMMARY
We propose to establish a Center for In Vivo Characterization of ENCODE Elements (CIViC) as part of
ENCODE Phase 4. Understanding the function of the 98% of the human genome that is noncoding remains
one of the most pressing challenges in genomics. The ENCODE Program has enabled major progress toward
obtaining genome-wide molecular signatures associated with the human and mouse genome. During
ENCODE3 our group contributed to the mapping of enhancer-associated marks, DNA methylation, and
transcriptomes from multiple mouse tissues across closely spaced time points of embryogenesis, resulting in
>750 datasets defining the in vivo epigenomic landscape during mammalian development. Our group has also
characterized over 3,000 candidate enhancer sequences in transgenic mouse assays, including more than 400
through our participation in ENCODE2 and ENCODE3. Despite this progress, enhancers are only one of many
noncoding molecular functions that have been inferred from ENCODE data. Other major proposed categories
of noncoding sequences identified through ENCODE and other publicly available data sets include DNA
elements with predicted functions, such as “super-enhancers” (very large enhancers with possibly distinct
functions) or chromatin domain boundary elements. They also include sequence classes of unknown function
primarily defined by specific assays, such as differentially methylated regions (DMRs). The functional impact
of these different classes of noncoding sequences on organismal biology and human health remains minimally
explored, representing a major limitation of the ENCODE encyclopedia. The Center for In Vivo
Characterization of ENCODE Elements will use CRISPR/Cas9 genome editing to systematically explore the
biological significance of several classes of noncoding function based on ENCODE3 data. Leveraging the
streamlined set of mouse engineering tools available in our laboratory, we will: 1. Perform integrative analysis
of ENCODE3 and complementary data sets to identify and prioritize representative sequences from 3 different
classes of noncoding elements (enhancers and super-enhancers, boundary elements, DMRs);
2. Systematically delete a total of 48 representative sequences in mice and perform RNA-seq and gross
organismal phenotyping to understand the in vivo consequences of these deletions; 3. Continue to make
transgenic enhancer characterization capabilities available to ENCODE investigators to validate and calibrate
enhancer prediction methods. We will also use transgenics and CRISPR knock-in editing to test human
disease-associated alleles of ENCODE-predicted enhancer elements. All efforts will be closely coordinated
with other ENCODE4 functional characterization groups to focus on common sets of elements to be
characterized using the full ENCODE-wide arsenal of in vitro and in vivo characterization methods. Our results
will provide an understanding of the in vivo significance of different classes of noncoding elements and thereby
substantially increase the value of the ENCODE encyclopedia.
项目总结
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Len Alexander Pennacchio其他文献
Len Alexander Pennacchio的其他文献
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{{ item.author }}
{{ truncateString('Len Alexander Pennacchio', 18)}}的其他基金
Evaluating the Impact of Mutations in Distant-Acting Enhancers in Structural Birth Defects
评估远效增强子突变对结构性出生缺陷的影响
- 批准号:
10826564 - 财政年份:2023
- 资助金额:
$ 135.88万 - 项目类别:
In vivo Characterization of Regulatory Variant Pathogenicity in Congenital Heart Disease
先天性心脏病调节变异致病性的体内表征
- 批准号:
10390962 - 财政年份:2022
- 资助金额:
$ 135.88万 - 项目类别:
In vivo Characterization of Regulatory Variant Pathogenicity in Congenital Heart Disease
先天性心脏病调节变异致病性的体内表征
- 批准号:
10543797 - 财政年份:2022
- 资助金额:
$ 135.88万 - 项目类别:
Genome-Wide Resources for Transcriptional Enhancers Active in the Human Heart
人类心脏中活跃的转录增强子的全基因组资源
- 批准号:
9025585 - 财政年份:2015
- 资助金额:
$ 135.88万 - 项目类别:
Genome-Wide Resources for Transcriptional Enhancers Active in the Human Heart
人类心脏中活跃的转录增强子的全基因组资源
- 批准号:
8756851 - 财政年份:2015
- 资助金额:
$ 135.88万 - 项目类别:
In Vivo Analysis of a Noncoding Susceptibility Region for Coronary Artery Disease
冠状动脉疾病非编码易感区的体内分析
- 批准号:
7713519 - 财政年份:2009
- 资助金额:
$ 135.88万 - 项目类别:
In Vivo Analysis of a Noncoding Susceptibility Region for Coronary Artery Disease
冠状动脉疾病非编码易感区的体内分析
- 批准号:
7932876 - 财政年份:2009
- 资助金额:
$ 135.88万 - 项目类别:
Generation of an In Vivo Human Genome Transcriptional Enhancer Dataset
体内人类基因组转录增强子数据集的生成
- 批准号:
7941543 - 财政年份:2009
- 资助金额:
$ 135.88万 - 项目类别:
A High-Resolution Enhancer Atlas of the Developing Forebrain
前脑发育的高分辨率增强器图谱
- 批准号:
7507860 - 财政年份:2008
- 资助金额:
$ 135.88万 - 项目类别:
A High-Resolution Enhancer Atlas of the Developing Forebrain
前脑发育的高分辨率增强器图谱
- 批准号:
7694253 - 财政年份:2008
- 资助金额:
$ 135.88万 - 项目类别:
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