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Massively multiplex single-cell Hi-C.

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.

SUBMITTER: Ramani V

PROVIDER: S-EPMC5330809 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Massively multiplex single-cell Hi-C.

Ramani Vijay V Deng Xinxian X Qiu Ruolan R Gunderson Kevin L KL Steemers Frank J FJ Disteche Christine M CM Noble William S WS Duan Zhijun Z Shendure Jay J

Nature methods 20170130 3

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 generalizabl ...[more]

PMID: 28135255

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