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Massively multiplex single-cell Hi-C

We present single-cell combinatorial indexed Hi-C (sciHi-C), which applies the concept of 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 sep...

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Detalles Bibliográficos
Autores principales: Ramani, Vijay, Deng, Xinxian, Qiu, Ruolan, Gunderson, Kevin L, Steemers, Frank J, Disteche, Christine M, Noble, William S, Duan, Zhijun, Shendure, Jay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330809/
https://www.ncbi.nlm.nih.gov/pubmed/28135255
http://dx.doi.org/10.1038/nmeth.4155
Descripción
Sumario:We present single-cell combinatorial indexed Hi-C (sciHi-C), which applies the concept of 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 karytoypic 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.