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:
Article
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
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author Ramani, Vijay
Deng, Xinxian
Qiu, Ruolan
Gunderson, Kevin L
Steemers, Frank J
Disteche, Christine M
Noble, William S
Duan, Zhijun
Shendure, Jay
author_facet Ramani, Vijay
Deng, Xinxian
Qiu, Ruolan
Gunderson, Kevin L
Steemers, Frank J
Disteche, Christine M
Noble, William S
Duan, Zhijun
Shendure, Jay
author_sort Ramani, Vijay
collection PubMed
description 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.
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spelling pubmed-53308092017-07-30 Massively multiplex single-cell Hi-C Ramani, Vijay Deng, Xinxian Qiu, Ruolan Gunderson, Kevin L Steemers, Frank J Disteche, Christine M Noble, William S Duan, Zhijun Shendure, Jay Nat Methods Article 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. 2017-01-30 2017-03 /pmc/articles/PMC5330809/ /pubmed/28135255 http://dx.doi.org/10.1038/nmeth.4155 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Ramani, Vijay
Deng, Xinxian
Qiu, Ruolan
Gunderson, Kevin L
Steemers, Frank J
Disteche, Christine M
Noble, William S
Duan, Zhijun
Shendure, Jay
Massively multiplex single-cell Hi-C
title Massively multiplex single-cell Hi-C
title_full Massively multiplex single-cell Hi-C
title_fullStr Massively multiplex single-cell Hi-C
title_full_unstemmed Massively multiplex single-cell Hi-C
title_short Massively multiplex single-cell Hi-C
title_sort massively multiplex single-cell hi-c
topic Article
url 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
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