• Title/Summary/Keyword: 3C (chromatin conformation capture)

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3C (Chromatin Conformation Capture): A Technique to Study Chromatin Organization (3C (chromatin conformation capture): 크로마틴 입체 구조 연구를 위한 기법)

  • Kim, Yea Woon;Kim, AeRi
    • Journal of Life Science
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    • v.22 no.11
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    • pp.1587-1594
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    • 2012
  • 3C (chromatin conformation capture) is a technique to analyze chromatin organization in nuclei of eukaryotic cells. The procedure of 3C includes the formaldehyde treatment of cells to fix interactions between proteins and between proteins and DNA in chromatin, the digestion of fixed chromatin with restriction enzyme, and the ligation of fragmented DNA. The efficiency of DNA ligation represents proximity between DNA fragments in chromatin organization. Studies in the ${\beta}$-globin locus using 3C showed that the locus control region is in close proximity to the transcriptionally-active globin genes, indicating that chromatin organization has a role in transcriptional regulation of the genes. 3C has been advanced by combining with ChIP and genome-wide sequencing. This review presents the principle and procedure of the 3C technique, the chromatin organization of the ${\beta}$-globin locus explained by 3C, and advanced techniques based on 3C.

HiCORE: Hi-C Analysis for Identification of Core Chromatin Looping Regions with Higher Resolution

  • Lee, Hongwoo;Seo, Pil Joon
    • Molecules and Cells
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    • v.44 no.12
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    • pp.883-892
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    • 2021
  • Genome-wide chromosome conformation capture (3C)-based high-throughput sequencing (Hi-C) has enabled identification of genome-wide chromatin loops. Because the Hi-C map with restriction fragment resolution is intrinsically associated with sparsity and stochastic noise, Hi-C data are usually binned at particular intervals; however, the binning method has limited reliability, especially at high resolution. Here, we describe a new method called HiCORE, which provides simple pipelines and algorithms to overcome the limitations of single-layered binning and predict core chromatin regions with three-dimensional physical interactions. In this approach, multiple layers of binning with slightly shifted genome coverage are generated, and interacting bins at each layer are integrated to infer narrower regions of chromatin interactions. HiCORE predicts chromatin looping regions with higher resolution, both in human and Arabidopsis genomes, and contributes to the identification of the precise positions of potential genomic elements in an unbiased manner.