Unknown

Dataset Information

0

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

altmetric image

Publications


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]

Similar Datasets

2017-01-28 | GSE84920 | GEO
| PRJNA335638 | ENA
| S-EPMC7289078 | biostudies-literature
| phs001269 | dbGaP
| S-EPMC7735760 | biostudies-literature
2019-12-05 | GSE139944 | GEO
2020-12-02 | GSE162410 | GEO
| PRJNA587707 | ENA
| PRJNA681807 | ENA
| S-EPMC6949367 | biostudies-literature