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GEO help: Mouse over screen elements for information. |
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Status |
Public on Sep 26, 2013 |
Title |
Single cell Hi-C reveals cell-to-cell variability in chromosome structure |
Organism |
Mus musculus |
Experiment type |
Other
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Summary |
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.
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Overall design |
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.
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Contributor(s) |
Nagano T, Lubling Y, Stevens TJ, Schoenfelder S, Yaffe E, Dean W, Laue ED, Tanay A, Fraser P |
Citation(s) |
24067610 |
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Submission date |
Jun 25, 2013 |
Last update date |
May 15, 2019 |
Contact name |
Yaniv Lubling |
E-mail(s) |
yaniv.lubling@weizmann.ac.il
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Organization name |
Weizmann Institute of Science
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Street address |
POB 26
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City |
Rehovot |
ZIP/Postal code |
76100 |
Country |
Israel |
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Platforms (2) |
GPL11002 |
Illumina Genome Analyzer IIx (Mus musculus) |
GPL15103 |
Illumina HiSeq 1000 (Mus musculus) |
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Samples (11)
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Relations |
BioProject |
PRJNA209421 |
SRA |
SRP026294 |
Supplementary file |
Size |
Download |
File type/resource |
GSE48262_RAW.tar |
304.1 Mb |
(http)(custom) |
TAR (of TXT) |
GSE48262_Th1_bgl_pool.txt.gz |
19.9 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
Processed data are available on Series record |
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