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大规模多重单细胞Hi-C技术

Massively multiplex single-cell Hi-C.

作者信息

Ramani Vijay, Deng Xinxian, Qiu Ruolan, Gunderson Kevin L, Steemers Frank J, Disteche Christine M, Noble William S, Duan Zhijun, Shendure Jay

机构信息

Department of Genome Sciences, University of Washington, Seattle, Washington, USA.

Department of Pathology, University of Washington, Seattle, Washington, USA.

出版信息

Nat Methods. 2017 Mar;14(3):263-266. doi: 10.1038/nmeth.4155. Epub 2017 Jan 30.

DOI:10.1038/nmeth.4155
PMID:28135255
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5330809/
Abstract

We present single-cell combinatorial indexed Hi-C (sciHi-C), a method that applies combinatorial cellular indexing to chromosome conformation capture. In this proof of concept, we generate and sequence six sciHi-C libraries comprising a total of 10,696 single cells. We use sciHi-C data to separate cells by karyotypic and cell-cycle state differences and identify cell-to-cell heterogeneity in mammalian chromosomal conformation. Our results demonstrate that combinatorial indexing is a generalizable strategy for single-cell genomics.

摘要

我们展示了单细胞组合索引Hi-C(sciHi-C),这是一种将组合细胞索引应用于染色体构象捕获的方法。在这个概念验证中,我们生成并测序了六个sciHi-C文库,总共包含10,696个单细胞。我们使用sciHi-C数据通过核型和细胞周期状态差异来分离细胞,并识别哺乳动物染色体构象中的细胞间异质性。我们的结果表明,组合索引是单细胞基因组学的一种可推广策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6517/5330809/f0cc6878c504/nihms839786f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6517/5330809/53d8506c3608/nihms839786f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6517/5330809/db5075307aaa/nihms839786f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6517/5330809/f0cc6878c504/nihms839786f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6517/5330809/53d8506c3608/nihms839786f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6517/5330809/db5075307aaa/nihms839786f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6517/5330809/f0cc6878c504/nihms839786f3.jpg

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Genome-wide detection of DNase I hypersensitive sites in single cells and FFPE tissue samples.在单细胞和 FFPE 组织样本中进行全基因组 DNase I 超敏位点检测。
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DeepExDC interprets genomic compartmentalization changes in single-cell Hi-C data.DeepExDC可解读单细胞Hi-C数据中的基因组区室化变化。
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ChromMovie: A Molecular Dynamics Approach for Simultaneous Modeling of Chromatin Conformation Changes from Multiple Single-Cell Hi-C Maps.ChromMovie:一种基于分子动力学的方法,用于从多个单细胞Hi-C图谱中同步建模染色质构象变化
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