Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110025, India.
Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110025, India.
Hum Genomics. 2018 Feb 20;12(1):8. doi: 10.1186/s40246-018-0140-z.
Over the last 15 years, development of chromosome conformation capture (3C) and its subsequent high-throughput variants in conjunction with the fast development of sequencing technology has allowed investigators to generate large volumes of data giving insights into the spatial three-dimensional (3D) architecture of the genome. This huge data has been analyzed and validated using various statistical, mathematical, genomics, and biophysical tools in order to examine the chromosomal interaction patterns, understand the organization of the chromosome, and find out functional implications of the interactions. This review summarizes the data generated by several large-scale high-throughput chromosome conformation capture studies and the functional implications obtained from the data analyses. We also discuss emerging results on factors (both CCCTC binding factor (CTCF) related and CTCF independent) that could contribute to looping interactions.
在过去的 15 年中，染色体构象捕获（3C）的发展及其随后的高通量变体与测序技术的快速发展相结合，使研究人员能够生成大量数据，深入了解基因组的空间三维（3D）结构。这些大量的数据已经使用各种统计、数学、基因组学和生物物理工具进行了分析和验证，以便检查染色体相互作用模式，了解染色体的组织，并找出相互作用的功能意义。本综述总结了几项大规模高通量染色体构象捕获研究产生的数据以及从数据分析中获得的功能意义。我们还讨论了新兴的关于可能有助于环化相互作用的因素（包括 CCCTC 结合因子（CTCF）相关和 CTCF 独立的因素）的结果。
