Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Epigenetics Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Methods. 2018 Jun 1;142:39-46. doi: 10.1016/j.ymeth.2018.05.005. Epub 2018 May 24.
Mammalian genomes are folded in a hierarchy of compartments, topologically associating domains (TADs), subTADs, and looping interactions. Currently, there is a great need to evaluate the link between chromatin topology and genome function across many biological conditions and genetic perturbations. Hi-C can generate genome-wide maps of looping interactions but is intractable for high-throughput comparison of loops across multiple conditions due to the enormous number of reads (>6 Billion) required per library. Here, we describe 5C-ID, a new version of Chromosome-Conformation-Capture-Carbon-Copy (5C) with restriction digest and ligation performed in the nucleus (in situ Chromosome-Conformation-Capture (3C)) and ligation-mediated amplification performed with a double alternating primer design. We demonstrate that 5C-ID produces higher-resolution 3D genome folding maps with reduced spatial noise using markedly lower cell numbers than canonical 5C. 5C-ID enables the creation of high-resolution, high-coverage maps of chromatin loops in up to a 30 Megabase subset of the genome at a fraction of the cost of Hi-C.
哺乳动物基因组在结构域、拓扑关联域(TAD)、亚区和环相互作用等层次上折叠。目前,非常需要评估染色质拓扑结构与多种生物条件和遗传扰动下基因组功能之间的联系。Hi-C 可以生成全基因组环相互作用图谱,但由于每个文库需要读取的读长数量巨大(>60 亿),因此难以在多个条件下高通量比较环。在这里,我们描述了 5C-ID,这是一种新的染色体构象捕获碳拷贝(5C)版本,其限制酶消化和连接在核内进行(原位染色体构象捕获(3C)),并采用双交替引物设计进行连接介导的扩增。我们证明 5C-ID 使用比经典 5C 少得多的细胞数量产生具有更低空间噪声的更高分辨率的 3D 基因组折叠图谱。5C-ID 能够以 Hi-C 成本的一小部分在基因组的多达 30 兆碱基子集上创建具有高分辨率和高覆盖度的染色质环图谱。
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