Integrative analysis tools to dissect cell-type specific transcriptional programs
Integrative analysis tools to dissect cell-type specific transcriptional programs
批准号:
8628862
负责人:
Christina S Leslie
金额:
$52.07万
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:
2012-04-24 至 2016-02-29
关键词:
AlgorithmsBindingBinding SitesBiological AssayCase StudyCatalogingCatalogsCell ExtractsCell LineCell LineageCell physiologyCellsChIP-seqChromatinChromatin Remodeling FactorCodeComputer AnalysisComputer SimulationComputing MethodologiesDNADNA MethylationDNA SequenceDataData SetDeoxyribonucleasesDevelopmentDiseaseGene ExpressionGene Expression RegulationGene TargetingGenesGenetic TranscriptionGenomicsGoalsHematopoieticHistocompatibility TestingHistonesHumanHuman GenomeLassoLearningLibrariesMachine LearningMammalian CellMapsMethodsMethylationMicroRNAsModelingMolecular BiologyMolecular ProfilingMusNucleic Acid Regulatory SequencesOutputPatternReadingRelative (related person)RoleSequence AnalysisSiteSourceStagingStem cellsTechnologyTissuesTrainingValidationWorkbasebisulfitecell typecombinatorialcomputerized toolsdata modelingepigenomicsgenome-widehistone modificationimprovedmethod developmentmouse genomemultitasknext generation sequencingpreferenceprogramspromoterrepositoryrole modelsequence learningtooltranscription factortranscriptome sequencingtranscriptomics
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): How cell-type specific gene expression programs are established and maintained is a fundamental question in molecular biology. In mammalian cells, hundreds of sequence-specific transcription factors have been catalogued, and they bind the regulatory regions of their target genes in cell-type specific and combinatorial occupancy patterns. Moreover, the developmental programs that generate different cell lineages are accompanied by complex chromatin remodeling. Increasing evidence suggests that the regulatory regions of cell-type specific genes may often be established and sometimes "poised" by chromatin marks at earlier stages in development. However, the detailed characterization of gene regulatory regions-including their initial establishment in earlier progenitor cells, the dynamics of their chromatin state, and the combinatorial control of gene transcriptional output by multiple transcription factors-has only been studied for a handful of developmentally important genes. The goal of this project is to develop new integrative computational methods that exploit massive next- generation sequencing data sets to fundamentally advance our understanding of cell-type specific transcriptional programs. We will develop integrative computational analysis methods for (1) learning the sequence and chromatin determinants of transcription factor binding from ChIP-seq and DNase-seq; (2) mapping the landscape of chromatin accessibility of all regulatory regions in the human and mouse genomes using DNase-seq across all available cell types, dissecting the poising of their chromatin state in earlier progenitor cells, and extracting the sequence code governing their gain and loss in differentiation; and (3) modeling cell-type specific gene expression programs as a function of chromatin state, transcription factor binding, and regulatory sequence analysis. We will couple our computational methods development with targeted experimental validation, including both locus-specific and genome-wide assays.
期刊论文(8)
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DOI:
10.1186/1471-2105-14-s5-s10
发表时间:
2013
期刊:
BMC bioinformatics
影响因子:
3
作者:
[Li S, Garrett-Bakelman FE, Akalin A, Zumbo P, Levine R, To BL, Lewis ID, Brown AL, D'Andrea RJ, Melnick A, Mason CE]
通讯作者:
Mason CE
Characterizing multi-omic data in systems biology.
表征系统生物学中的多组学数据。
DOI:
10.1007/978-1-4614-8778-4_2
发表时间:
2014
期刊:
Advances in experimental medicine and biology
影响因子:
--
作者:
[Mason,ChristopherE, Porter,SandraG, Smith,ToddM]
通讯作者:
Smith,ToddM
DOI:
10.1371/journal.pcbi.1004271
发表时间:
2015-05
期刊:
PLoS computational biology
影响因子:
4.3
作者:
[Setty M, Leslie CS]
通讯作者:
Leslie CS
DOI:
10.1038/nbt.2972
发表时间:
2014-09
期刊:
NATURE BIOTECHNOLOGY
影响因子:
46.9
作者:
[Li, Sheng, Tighe, Scull W., Nicolet, Charles M., Grove, Deborah, Levy, Shawn, Farmerie, William, Viale, Agnes, Wright, Chris, Schweitzer, Peter A., Gao, Yuan, Kim, Dewey, Boland, Joe, Hicks, Belynda, Kim, Ryan, Chhangawala, Sagar, Jafari, Nadereh, Raghavachari, Nalini, Gandara, Jorge, Garcia-Reyero, Natalia, Hendrickson, Cynthia, Roberson, David, Rosenfeldr, Jeffrey, Smith, Todd, Underwood, Jason G., Wang, May, Zumbo, Paul, Baldwin, Don A., Grills, George S., Mason, Christopher E.]
通讯作者:
Mason, Christopher E.
DOI:
10.1038/ng.3402
发表时间:
2015-11
期刊:
Nature genetics
影响因子:
30.8
作者:
[González AJ, Setty M, Leslie CS]
通讯作者:
Leslie CS
共 6 条
The Center for Tumor-Immune Systems Biology at MSKCC
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Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation
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资助金额:$128.0万
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Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation
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批准号:10621786
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Systems biology of the tumor immune microenvironment
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资助金额:$33.09万
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Encoding genomic architecture in the encyclopedia: linking DNA elements, chromatin state, and gene expression in 3D
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批准号:10241049
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资助金额:$74.25万
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财政年份:2017
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Encoding genomic architecture in the encyclopedia: linking DNA elements, chromatin state, and gene expression in 3D
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批准号:9247342
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资助金额:$71.73万
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The CSBC Research Center for Cancer Systems Immunology at MSKCC
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批准号:9343109
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项目类别:
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资助金额:$17.14万
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依托单位:
The CSBC Research Center for Cancer Systems Immunology at MSKCC
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批准号:9980798
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资助金额:$231.25万
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财政年份:2016
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The CSBC Research Center for Cancer Systems Immunology at MSKCC
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批准号:9186246
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资助金额:$211.91万
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财政年份:2016
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Modeling the impact of mutations in ubiquitin ligase genes on transcriptional programs in endometrial cancer
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批准号:9246450
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资助金额:$18.64万
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财政年份:2016
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Administrative Core
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批准号:9980800
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资助金额:$33.63万
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Decoding in vivo regulatory programs of CD4+ T lymphocyte populations in inflamma
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Decoding in vivo regulatory programs of CD4+ T lymphocyte populations in inflamma
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批准号:8770949
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项目类别:
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资助金额:$103.44万
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财政年份:2015
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Decoding in vivo regulatory programs of CD4+ T lymphocyte populations in inflamma
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资助金额:$103.33万
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Integrative analysis tools to dissect cell-type specific transcriptional programs
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批准号:8311335
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项目类别:
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资助金额:$55.63万
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Integrative analysis tools to dissect cell-type specific transcriptional programs
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批准号:8463019
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资助金额:$49.35万
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财政年份:2012
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依托单位:
国内基金
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