Vietri Rudan Matteo, Hadjur Suzana, Sexton Tom
Research Department of Cancer Biology, Cancer Institute, University College London, London, UK.
Institute of Genetics and Molecular and Cellular Biology, CNRS UMR7104/INSERM U964, Illkirch, France.
Methods Mol Biol. 2017;1589:47-74. doi: 10.1007/7651_2015_261.
The chromosome conformation capture (3C) method has been invaluable in studying chromatin interactions in a population of cells at a resolution surpassing that of light microscopy, for example in the detection of functional contacts between enhancers and promoters. Recent developments in sequencing-based chromosomal contact mapping (Hi-C, 5C and 4C-Seq) have allowed researchers to interrogate pairwise chromatin interactions on a wider scale, shedding light on the three-dimensional organization of chromosomes. These methods present significant technical and bioinformatic challenges to consider at the start of the project. Here, we describe two alternative methods for Hi-C, depending on the size of the genome, and discuss the major computational approaches to convert the raw sequencing data into meaningful models of how genomes are organized.
染色体构象捕获(3C)方法在研究细胞群体中的染色质相互作用方面具有重要价值,其分辨率超过了光学显微镜,例如在检测增强子与启动子之间的功能接触时。基于测序的染色体接触图谱绘制(Hi-C、5C和4C-Seq)的最新进展使研究人员能够在更广泛的范围内探究成对的染色质相互作用,从而揭示染色体的三维组织。在项目开始时,这些方法带来了重大的技术和生物信息学挑战需要考虑。在此,我们根据基因组大小描述了两种Hi-C替代方法,并讨论了将原始测序数据转化为基因组组织有意义模型的主要计算方法。