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将荧光成像与 Hi-C 相结合,研究同一单细胞的三维基因组结构。

Combining fluorescence imaging with Hi-C to study 3D genome architecture of the same single cell.

机构信息

Department of Biochemistry, University of Cambridge, Cambridge, UK.

MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK.

出版信息

Nat Protoc. 2018 May;13(5):1034-1061. doi: 10.1038/nprot.2018.017. Epub 2018 Apr 19.

Abstract

Fluorescence imaging and chromosome conformation capture assays such as Hi-C are key tools for studying genome organization. However, traditionally, they have been carried out independently, making integration of the two types of data difficult to perform. By trapping individual cell nuclei inside a well of a 384-well glass-bottom plate with an agarose pad, we have established a protocol that allows both fluorescence imaging and Hi-C processing to be carried out on the same single cell. The protocol identifies 30,000-100,000 chromosome contacts per single haploid genome in parallel with fluorescence images. Contacts can be used to calculate intact genome structures to better than 100-kb resolution, which can then be directly compared with the images. Preparation of 20 single-cell Hi-C libraries using this protocol takes 5 d of bench work by researchers experienced in molecular biology techniques. Image acquisition and analysis require basic understanding of fluorescence microscopy, and some bioinformatics knowledge is required to run the sequence-processing tools described here.

摘要

荧光成像和染色体构象捕获分析(如 Hi-C)是研究基因组结构的关键工具。然而,传统上,它们是独立进行的,这使得两种类型的数据难以整合。通过用琼脂糖垫将单个细胞核困在 384 孔玻璃底平板的一个孔中,我们建立了一种方案,允许在同一单个细胞上同时进行荧光成像和 Hi-C 处理。该方案可以并行地从每个单倍体基因组中识别出 30,000-100,000 个染色体接触。可以使用这些接触来计算完整的基因组结构,分辨率优于 100-kb,然后可以直接与图像进行比较。使用该方案制备 20 个单细胞 Hi-C 文库需要有分子生物学技术经验的研究人员 5 天的实验时间。图像采集和分析需要对荧光显微镜有基本的了解,并且需要一些生物信息学知识才能运行这里描述的序列处理工具。

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