Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Single cell Hi-C reveals cell-to-cell variability in chromosome structure


ABSTRACT: Large-scale chromosome structure and spatial nuclear arrangement have been linked to control of gene expression and DNA replication and repair. Genomic techniques based on chromosome conformation capture assess contacts for millions of loci simultaneously, but do so by averaging chromosome conformations from millions of nuclei. Here we introduce single cell Hi-C, combined with genome-wide statistical analysis and structural modeling of single copy X chromosomes, to show that individual chromosomes maintain domain organisation at the megabase scale, but show variable cell-to-cell chromosome territory structures at larger scales. Despite this structural stochasticity, localisation of active gene domains to boundaries of territories is a hallmark of chromosomal conformation, affecting most domains in most nuclei. Single cell Hi-C data bridge current gaps between genomics and microscopy studies of chromosomes, demonstrating how modular organisation underlies dynamic chromosome structure, and how this structure is probabilistically linked with genome activity patterns. Mouse Th1 single-cell Hi-C maps were produced and paired-end sequenced. 10 single-cell samples and a multi-sample pool together with a population Hi-C sample are included.

ORGANISM(S): Mus musculus

SUBMITTER: Yaniv Lubling 

PROVIDER: E-GEOD-48262 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Single-cell Hi-C reveals cell-to-cell variability in chromosome structure.

Nagano Takashi T   Lubling Yaniv Y   Stevens Tim J TJ   Schoenfelder Stefan S   Yaffe Eitan E   Dean Wendy W   Laue Ernest D ED   Tanay Amos A   Fraser Peter P  

Nature 20130925 7469


Large-scale chromosome structure and spatial nuclear arrangement have been linked to control of gene expression and DNA replication and repair. Genomic techniques based on chromosome conformation capture (3C) assess contacts for millions of loci simultaneously, but do so by averaging chromosome conformations from millions of nuclei. Here we introduce single-cell Hi-C, combined with genome-wide statistical analysis and structural modelling of single-copy X chromosomes, to show that individual chr  ...[more]

Similar Datasets

2013-09-26 | GSE48262 | GEO
2012-01-20 | E-GEOD-34453 | biostudies-arrayexpress
2020-01-23 | E-MTAB-7816 | biostudies-arrayexpress
2020-12-09 | E-MTAB-9810 | biostudies-arrayexpress
2019-10-03 | PXD014896 | Pride
2020-12-20 | E-MTAB-5825 | biostudies-arrayexpress
2021-01-08 | E-MTAB-9306 | biostudies-arrayexpress
2019-04-24 | E-MTAB-7512 | biostudies-arrayexpress
2013-11-01 | E-GEOD-50181 | biostudies-arrayexpress
2014-07-01 | E-GEOD-41356 | biostudies-arrayexpress