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Increasing evidence indicates that specific genomic regions each associate with these compartments. This genome compartmentalization has been linked to various functions, but these links are still poorly understood. Interestingly, Lamina Associated Domains (LADs) share specific heterochromatin marks, defining chromatin domains with distinct genetic and epigenetic properties. Genomic regions associating with other nuclear compartments may similarly define distinct classes of chromatin domains. One major bottleneck towards a deeper understanding of nuclear organization has been the inability to convert microscopy views of nuclear compartments into genome-wide maps that show which loci are associated with which compartment, and how the chromosomal fiber traverses between compartments. In addition, there is an urgent need for more efficient methods to dissect the mechanisms by which large genomic regions are targeted to specific nuclear compartments. 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RT is regulated during development in discrete chromosomal units, coordinated with transcriptional activity and 3D genome organization. Here, we derived distinct cell types from F1 hybrid musculus x castaneus mouse crosses and exploited the high single-nucleotide polymorphism (SNP) density to characterize allelic differences in RT (Repli-seq), genome organization (Hi-C and promoter-capture Hi-C), gene expression (total nuclear RNA-seq), and chromatin accessibility (ATAC-seq). We also present HARP, a new computational tool for sorting SNPs in phased genomes to efficiently measure allele-specific genome-wide data. Analysis of six different hybrid mESC clones with different genomes (C57BL/6, 129/sv, and CAST/Ei), parental configurations, and gender revealed significant RT asynchrony between alleles across approximately 12% of the autosomal genome linked to subspecies genomes but not to parental origin, growth conditions, or gender. RT asynchrony in mESCs strongly correlated with changes in Hi-C compartments between alleles but not as strongly  with SNP density, gene expression, imprinting, or chromatin accessibility. We then tracked mESC RT asynchronous regions during development by analyzing differentiated cell types, including extraembryonic endoderm stem (XEN) cells, four male and female primary mouse embryonic fibroblasts (MEFs), and neural precursor cells (NPCs) differentiated in vitro from mESCs with opposite parental  configurations. 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Here, we derived distinct cell types from F1 hybrid musculus x castaneus mouse crosses and exploited the high single-nucleotide polymorphism (SNP) density to characterize allelic differences in RT (Repli-seq), genome organization (Hi-C and promoter-capture Hi-C), gene expression (total nuclear RNA-seq), and chromatin accessibility (ATAC-seq). We also present HARP, a new computational tool for sorting SNPs in phased genomes to efficiently measure allele-specific genome-wide data. Analysis of six different hybrid mESC clones with different genomes (C57BL/6, 129/sv, and CAST/Ei), parental configurations, and gender revealed significant RT asynchrony between alleles across approximately 12% of the autosomal genome linked to subspecies genomes but not to parental origin, growth conditions, or gender. RT asynchrony in mESCs strongly correlated with changes in Hi-C compartments between alleles but not as strongly  with SNP density, gene expression, imprinting, or chromatin accessibility. We then tracked mESC RT asynchronous regions during development by analyzing differentiated cell types, including extraembryonic endoderm stem (XEN) cells, four male and female primary mouse embryonic fibroblasts (MEFs), and neural precursor cells (NPCs) differentiated in vitro from mESCs with opposite parental  configurations. We found that RT asynchrony and allelic discordance in Hi-C compartments seen in mESCs were largely lost in all differentiated cell types, accompanied by novel sites of allelic asynchrony at a considerably smaller proportion of the genome, suggesting that genome organization of homologs converges to similar folding patterns during cell fate commitment.", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}], "number_of_experiments": 2, "@context": "/terms/", "aggregated-items": {"badges": [{"parent": "/biosamples/4DNBS5BF6LKB/", "embedded_path": "experiments_in_set.biosample.badges", "item": {"messages": ["Biosample missing doubling_number", "Biosample missing morphology_image"], "badge": {"commendation": null, "warning": "Biosample Metadata Incomplete", "uuid": "2b2cc7ff-b7a8-4138-9a6c-22884fc71690", "@id": "/badges/biosample-metadata-incomplete/", "badge_icon": "/static/img/badges/biosample-icon.svg", "description": "Biosample is missing metadata information required as part of the standards implemented by the 4DN Samples working group."}}}, {"parent": "/biosamples/4DNBSMFOAZYK/", "embedded_path": "experiments_in_set.biosample.badges", "item": {"messages": ["Biosample missing doubling_number", "Biosample missing morphology_image"], "badge": {"commendation": null, "warning": "Biosample Metadata Incomplete", "uuid": "2b2cc7ff-b7a8-4138-9a6c-22884fc71690", "@id": "/badges/biosample-metadata-incomplete/", "badge_icon": "/static/img/badges/biosample-icon.svg", "description": "Biosample is missing metadata information required as part of the standards implemented by the 4DN Samples working group."}}}]}, "validation-errors": []}