Department of Systems Biology, University of Massachusetts Medical School.
Department of Systems Biology, University of Massachusetts Medical School; Howard Hughes Medical Institute.
J Vis Exp. 2023 Jan 20(191). doi: 10.3791/64001.
Chromosome conformation capture (3C) is used to detect three-dimensional chromatin interactions. Typically, chemical crosslinking with formaldehyde (FA) is used to fix chromatin interactions. Then, chromatin digestion with a restriction enzyme and subsequent religation of fragment ends converts three-dimensional (3D) proximity into unique ligation products. Finally, after reversal of crosslinks, protein removal, and DNA isolation, DNA is sheared and prepared for high-throughput sequencing. The frequency of proximity ligation of pairs of loci is a measure of the frequency of their colocalization in three-dimensional space in a cell population. A sequenced Hi-C library provides genome-wide information on interaction frequencies between all pairs of loci. The resolution and precision of Hi-C relies on efficient crosslinking that maintains chromatin contacts and frequent and uniform fragmentation of the chromatin. This paper describes an improved in situ Hi-C protocol, Hi-C 3.0, that increases the efficiency of crosslinking by combining two crosslinkers (formaldehyde [FA] and disuccinimidyl glutarate [DSG]), followed by finer digestion using two restriction enzymes (DpnII and DdeI). Hi-C 3.0 is a single protocol for the accurate quantification of genome folding features at smaller scales such as loops and topologically associating domains (TADs), as well as features at larger nucleus-wide scales such as compartments.
染色质构象捕获(3C)用于检测三维染色质相互作用。通常,使用甲醛(FA)进行化学交联来固定染色质相互作用。然后,用限制酶消化染色质,并随后重新连接片段末端,将三维(3D)接近度转化为独特的连接产物。最后,在交联逆转、蛋白质去除和 DNA 分离后,对 DNA 进行剪切并准备进行高通量测序。对一对基因座的接近连接频率是它们在细胞群体中三维空间共定位频率的度量。经过测序的 Hi-C 文库提供了所有基因座对之间相互作用频率的全基因组信息。Hi-C 的分辨率和精度依赖于有效的交联,交联维持染色质接触,并使染色质频繁且均匀地断裂。本文描述了一种改良的原位 Hi-C 方案 Hi-C 3.0,该方案通过结合两种交联剂(甲醛[FA]和二琥珀酰亚胺戊二酸[DSG]),随后使用两种限制酶(DpnII 和 DdeI)进行更精细的消化,从而提高了交联效率。Hi-C 3.0 是一种用于准确量化较小尺度(如环和拓扑关联域[TAD])以及更大核尺度(如隔室)的基因组折叠特征的单一方案。