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Single-cell and single-molecule profiling of protein-DNA interactions by MACHA

Single-cell and single-molecule profiling of protein-DNA interactions by MACHA
通过 MACHA 对蛋白质-DNA 相互作用进行单细胞和单分子分析
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

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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
  • 批准号:
    10593507
  • 项目类别:
  • 资助金额:
    $21.86万
  • 财政年份:
    2022
  • 负责人:
    Kohta Ikegami
  • 依托单位:
Mechanisms in Lamin A function in gene regulation
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