Single-cell and single-molecule profiling of protein-DNA interactions by MACHA
Single-cell and single-molecule profiling of protein-DNA interactions by MACHA
批准号:
10705853
负责人:
Kohta Ikegami
金额:
$24.35万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-16 至 2024-08-31
关键词:
AdoptedAdultAntibodiesBacteriaBindingBinding ProteinsBinding SitesCCCTC-binding factorCell NucleusCell SeparationCellsChIP-seqChimeric ProteinsChromatinChromosome StructuresComplexCytosineDNADNA BindingDNA RepairDNA sequencingDNA-Binding ProteinsDNA-Protein InteractionDataDetectionDevelopmentDinucleoside PhosphatesEnhancersEventFrequenciesFutureGene Expression ProfileGene Expression ProfilingGenetic TranscriptionHeartHeterochromatinHuman Cell LineIndividualJUN geneLamin Type ALengthLibrariesLifeMapsMeasurementMeasuresMethodsMethylationMethyltransferasePermeabilityPreparationProceduresProcessProtein FragmentProteinsProtocols documentationReactionRecombinantsRecoveryRepressionResolutionS-AdenosylhomocysteineS-AdenosylmethionineSamplingSiteSpecificityTissuesTranscription Coactivatorbisulfitebisulfite sequencingcell typechromatin proteincomputational pipelinesdetection sensitivityexperimental studygenome-widehistone modificationin vitro activityinduced pluripotent stem cell derived cardiomyocytesinterestnanoporenovelprotein profilingsingle moleculetranscription factor
中文摘要
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英文摘要
Summary
Protein-DNA interactions are fundamental to DNA-dependent processes such as transcription, replication,
DNA repair, and chromosome organization in all domains of cellular life. Enrichment-based methods to detect
protein-DNA interactions are widely used to obtain genome-wide high-resolution maps of transcription factor
binding and chromatin states. However, these methods have severe shortcomings when applied to single cells.
In single-cell applications, enrichment-based methods cannot distinguish between unbound DNA and
unsuccessful recovery of protein-bound DNA since both lead to absent DNA fragments and the sparse data
makes it difficult or impossible to obtain cell-type-resolved binding profiles of transcription factors starting from
complex tissues. This limitation significantly reduces the information content of single-cell data. MACHA will
detect protein-DNA interactions in cells as cytosine methylation catalyzed by an exogenous GpC
methyltransferase (GpCMTase) that is directed to protein-bound DNA by a primary antibody recognizing the
protein of interest.
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Single-cell and single-molecule profiling of protein-DNA interactions by MACHA
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批准号:10593507
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项目类别:
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资助金额:$21.86万
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财政年份:2022
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负责人:Kohta Ikegami
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依托单位:
Mechanisms in Lamin A function in gene regulation
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批准号:10152508
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项目类别:
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资助金额:$61.79万
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财政年份:2017
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负责人:Kohta Ikegami
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依托单位:
海外基金