染色体构象捕获
染色质
计算生物学
基因组
DNA
分辨率(逻辑)
染色体
生物
计算机科学
遗传学
基因
人工智能
增强子
基因表达
作者
Johan H. Gibcus,Job Dekker,Johan H. Gibcus
出处
期刊:Methods
[Elsevier BV]
日期:2017-04-18
卷期号:123: 56-65
被引量:288
标识
DOI:10.1016/j.ymeth.2017.04.004
摘要
Chromosome conformation capture-based methods such as Hi-C have become mainstream techniques for the study of the 3D organization of genomes. These methods convert chromatin interactions reflecting topological chromatin structures into digital information (counts of pair-wise interactions). Here, we describe an updated protocol for Hi-C (Hi-C 2.0) that integrates recent improvements into a single protocol for efficient and high-resolution capture of chromatin interactions. This protocol combines chromatin digestion and frequently cutting enzymes to obtain kilobase (kb) resolution. It also includes steps to reduce random ligation and the generation of uninformative molecules, such as unligated ends, to improve the amount of valid intra-chromosomal read pairs. This protocol allows for obtaining information on conformational structures such as compartment and topologically associating domains, as well as high-resolution conformational features such as DNA loops.
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