2019
DOI: 10.1101/863803
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Inferring Chromosome Radial Organization from Hi-C Data

Abstract: AbstractBackgroundThe nonrandom radial organization of eukaryotic chromosome territories (CTs) inside the nucleus plays an important role in nuclear functional compartmentalization. Increasingly, chromosome conformation capture (Hi-C) based approaches are being used to characterize the genome structure of many cell types and conditions. Computational methods to extract 3D arrangements of CTs from this type of pairwise contact data will thus in… Show more

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Cited by 2 publications
(3 citation statements)
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“…Chromosome 19 has few lamin associated domains (LADs) while chromosome 2 has many (Kind et al 2015). Correspondingly, chr19 tends to be located in the interior of the nucleus of GM12878 cells while chr2 is located at the periphery (Tanabe et al 2002;Das et al 2020). Indeed, when the changes in insulation profile are considered around boundaries in specific sub-compartments, we observe that chr19 B1 (polycomb-related) regions behave more like chr2 B compartment regions while chr19 B4 NAD regions match the insulation change seen in chr19 B compartment regions overall (Figure S5).…”
Section: Hi-c Experiments Reveal Remarkable Preservation Of Genome Contacts In Expanded Nucleimentioning
confidence: 99%
“…Chromosome 19 has few lamin associated domains (LADs) while chromosome 2 has many (Kind et al 2015). Correspondingly, chr19 tends to be located in the interior of the nucleus of GM12878 cells while chr2 is located at the periphery (Tanabe et al 2002;Das et al 2020). Indeed, when the changes in insulation profile are considered around boundaries in specific sub-compartments, we observe that chr19 B1 (polycomb-related) regions behave more like chr2 B compartment regions while chr19 B4 NAD regions match the insulation change seen in chr19 B compartment regions overall (Figure S5).…”
Section: Hi-c Experiments Reveal Remarkable Preservation Of Genome Contacts In Expanded Nucleimentioning
confidence: 99%
“…Pure contact graphs were modelled by graph analysis as described by Das and co-workers 17 . The 2D modelling of graphs were performed by Gephi 29 .…”
Section: Multigraph Constructionmentioning
confidence: 99%
“…This approach represents a powerful tool to map simple, haploid genomes in 3D but appears more challenging when analysing complex, polyploid genomes. Chromatin capture sequencing cannot differentiate between the two parental genomes but chromosome representation can be interpreted as the average of the two homologous chromosomes 17 .…”
Section: Introductionmentioning
confidence: 99%