A three-dimensional map of the human genome at kilobase resolution reveals prinicples of chromatin looping
Suhas Rao
2014
2014/12/11
United States, Cabin John
Baylor College of Medicine

数据描述

A three-dimensional map of the human genome at kilobase resolution reveals prinicples of chromatin looping

We use in situ Hi-C to probe the three-dimensional architecture of genomes, constructing haploid and diploid maps of nine cell types. The densest, in human lymphoblastoid cells, contains 4.9 billion contacts, achieving 1-kilobase resolution. We find that genomes are partitioned into local domains, which are associated with distinct patterns of histone marks and segregate into six subcompartments. We identify ~10,000 loops. These loops frequently link promoters and enhancers, correlate with gene activation, and show conservation across cell types and species. Loop anchors typically occur at domain boundaries and bind CTCF. CTCF sites at loop anchors occur predominantly (>90%) in a convergent orientation, with the asymmetric motifs ‘facing’ one another. The inactive X-chromosome splits into two massive domains and contains large loops anchored at CTCF-binding repeats.

数据列表

96

SOFT formatted family file(s)

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MINiML formatted family file(s)

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Series Matrix File(s)

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GSE63525_CH12-LX_Arrowhead_domainlist.txt.gz

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大小75.9 Kb
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GSE63525_CH12-LX_HiCCUPS_looplist.txt.gz

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GSE63525_CH12-LX_HiCCUPS_looplist_with_motifs.txt.gz

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GSE63525_CH12-LX_README.rtf

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GSE63525_CH12-LX_combined.hic

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GSE63525_CH12-LX_combined_30.hic

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大小6.0 Gb
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GSE63525_CH12-LX_interchromosomal_contact_matrices.tar.gz

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大小4.9 Gb
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GSE63525_CH12-LX_intrachromosomal_contact_matrices.tar.gz

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大小1.8 Gb
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GSE63525_CH12_combined_30.hic

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大小163.8 Mb
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GSE63525_GM12878_HiCCUPS_chrX_superloop_list.txt.gz

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大小2.0 Kb
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GSE63525_GM12878_SNPs.txt.gz

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大小7.4 Mb
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GSE63525_GM12878_combined_README.rtf

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大小13.4 Kb
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GSE63525_GM12878_combined_interchromosomal_contact_matrices.tar.gz

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大小35.0 Gb
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GSE63525_GM12878_combined_intrachromosomal_contact_matrices.tar.gz

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大小23.2 Gb
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GSE63525_GM12878_dilution_combined.hic

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大小10.9 Gb
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GSE63525_GM12878_dilution_combined_30.hic

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大小7.8 Gb
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GSE63525_GM12878_diploid_intrachromosomal_contact_matrices.tar.gz

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GSE63525_GM12878_diploid_maternal.hic

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GSE63525_GM12878_diploid_paternal.hic

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GSE63525_GM12878_insitu_DpnII_combined.hic

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GSE63525_GM12878_insitu_DpnII_combined_30.hic

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GSE63525_GM12878_insitu_noXlink_combined.hic

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GSE63525_GM12878_insitu_noXlink_combined_30.hic

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大小4.4 Gb
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GSE63525_GM12878_insitu_primary+replicate_combined.hic

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大小51.0 Gb
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GSE63525_GM12878_insitu_primary+replicate_combined_30.hic

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大小37.2 Gb
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GSE63525_GM12878_insitu_primary.hic

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大小31.9 Gb
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GSE63525_GM12878_insitu_primary_30.hic

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大小23.5 Gb
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GSE63525_GM12878_insitu_replicate.hic

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大小29.1 Gb
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GSE63525_GM12878_insitu_replicate_30.hic

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大小21.1 Gb
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GSE63525_GM12878_primary+replicate_Arrowhead_domainlist.txt.gz

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大小242.3 Kb
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GSE63525_GM12878_primary+replicate_HiCCUPS_looplist.txt.gz

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大小658.8 Kb
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GSE63525_GM12878_primary+replicate_HiCCUPS_looplist_with_motifs.txt.gz

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大小827.1 Kb
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GSE63525_GM12878_primary_HiCCUPS_looplist.txt.gz

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大小420.0 Kb
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GSE63525_GM12878_primary_README.rtf

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大小9.0 Kb
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GSE63525_GM12878_primary_interchromosomal_contact_matrices.tar.gz

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大小14.6 Gb
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GSE63525_GM12878_primary_intrachromosomal_contact_matrices.tar.gz

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大小7.1 Gb
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GSE63525_GM12878_replicate_HiCCUPS_looplist.txt.gz

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大小372.5 Kb
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GSE63525_GM12878_replicate_README.rtf

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大小8.9 Kb
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GSE63525_GM12878_replicate_interchromosomal_contact_matrices.tar.gz

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GSE63525_GM12878_replicate_intrachromosomal_contact_matrices.tar.gz

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大小6.5 Gb
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GSE63525_GM12878_subcompartments.bed.gz

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大小31.1 Kb
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GSE63525_HMEC_Arrowhead_domainlist.txt.gz

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大小104.0 Kb
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GSE63525_HMEC_HiCCUPS_looplist.txt.gz

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大小304.9 Kb
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GSE63525_HMEC_HiCCUPS_looplist_with_motifs.txt.gz

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GSE63525_HMEC_README.rtf

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大小8.7 Kb
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GSE63525_HMEC_combined.hic

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大小7.1 Gb
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GSE63525_HMEC_combined_30.hic

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大小5.0 Gb
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GSE63525_HMEC_interchromosomal_contact_matrices.tar.gz

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大小3.8 Gb
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GSE63525_HMEC_intrachromosomal_contact_matrices.tar.gz

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大小1.7 Gb
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GSE63525_HUVEC_Arrowhead_domainlist.txt.gz

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大小107.7 Kb
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GSE63525_HUVEC_HiCCUPS_looplist.txt.gz

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大小203.5 Kb
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GSE63525_HUVEC_HiCCUPS_looplist_with_motifs.txt.gz

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大小279.3 Kb
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GSE63525_HUVEC_README.rtf

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大小8.7 Kb
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GSE63525_HUVEC_combined.hic

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大小8.9 Gb
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GSE63525_HUVEC_combined_30.hic

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大小6.8 Gb
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GSE63525_HUVEC_interchromosomal_contact_matrices.tar.gz

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大小4.8 Gb
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GSE63525_HUVEC_intrachromosomal_contact_matrices.tar.gz

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大小2.4 Gb
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GSE63525_HeLa_Arrowhead_domainlist.txt.gz

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大小114.2 Kb
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GSE63525_HeLa_HiCCUPS_looplist.txt.gz

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大小163.6 Kb
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GSE63525_HeLa_HiCCUPS_looplist_with_motifs.txt.gz

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大小219.0 Kb
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GSE63525_IMR90_Arrowhead_domainlist.txt.gz

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大小195.3 Kb
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GSE63525_IMR90_HiCCUPS_looplist.txt.gz

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大小513.8 Kb
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GSE63525_IMR90_HiCCUPS_looplist_with_motifs.txt.gz

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大小657.7 Kb
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GSE63525_IMR90_README.rtf

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大小8.7 Kb
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GSE63525_IMR90_combined.hic

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大小12.8 Gb
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GSE63525_IMR90_combined_30.hic

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大小8.9 Gb
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GSE63525_IMR90_interchromosomal_contact_matrices.tar.gz

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大小5.9 Gb
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GSE63525_IMR90_intrachromosomal_contact_matrices.tar.gz

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大小3.8 Gb
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GSE63525_K562_Arrowhead_domainlist.txt.gz

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大小151.9 Kb
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GSE63525_K562_HiCCUPS_looplist.txt.gz

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大小362.6 Kb
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GSE63525_K562_HiCCUPS_looplist_with_motifs.txt.gz

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大小472.9 Kb
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GSE63525_K562_README.rtf

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大小8.7 Kb
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GSE63525_K562_combined.hic

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大小12.1 Gb
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GSE63525_K562_combined_30.hic

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大小9.1 Gb
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GSE63525_K562_interchromosomal_contact_matrices.tar.gz

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大小6.4 Gb
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GSE63525_K562_intrachromosomal_contact_matrices.tar.gz

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大小3.3 Gb
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GSE63525_KBM7_Arrowhead_domainlist.txt.gz

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大小126.7 Kb
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GSE63525_KBM7_HiCCUPS_looplist.txt.gz

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大小141.9 Kb
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GSE63525_KBM7_README.rtf

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大小8.7 Kb
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GSE63525_KBM7_combined.hic

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大小13.9 Gb
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GSE63525_KBM7_combined_30.hic

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大小10.2 Gb
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GSE63525_KBM7_interchromosomal_contact_matrices.tar.gz

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大小8.5 Gb
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GSE63525_KBM7_intrachromosomal_contact_matrices.tar.gz

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大小2.9 Gb
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GSE63525_NHEK_Arrowhead_domainlist.txt.gz

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大小152.9 Kb
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GSE63525_NHEK_HiCCUPS_looplist.txt.gz

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大小234.3 Kb
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GSE63525_NHEK_HiCCUPS_looplist_with_motifs.txt.gz

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大小319.0 Kb
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GSE63525_NHEK_README.rtf

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大小8.7 Kb
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GSE63525_NHEK_combined.hic

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大小11.3 Gb
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GSE63525_NHEK_combined_30.hic

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大小8.1 Gb
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GSE63525_NHEK_interchromosomal_contact_matrices.tar.gz

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大小6.8 Gb
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GSE63525_NHEK_intrachromosomal_contact_matrices.tar.gz

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大小2.3 Gb
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GSE63525_OVERALL_README.rtf

格式RTF
大小98.1 Kb
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GSE63525_RAW.tar

格式TAR (of HIC, TXT)
大小1.0 Tb
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The organization of mammalian genomes features a complex, multiscale three-dimensional (3D) architecture, whose functional significance remains elusive because of limited single-cell technologies that can concurrently profile genome organization and transcriptional activities. Here, we introduce gen...
EpigenomicsSequencing
10.1038/S41588-024-01745-3
ISSN:1061-4036

Conformational heterogeneity in human interphase chromosome organization reconciles the FISH and Hi-C paradox

Guang ShiD. Thirumalai
Nature Communications
2019
2019/8/29
Vol.10 No.1 p.1-10
Hi-C experiments are used to infer the contact probabilities between loci separated by varying genome lengths. Contact probability should decrease as the spatial distance between two loci increases. However, studies comparing Hi-C and FISH data show that in some cases the distance between one pair o...
Biological physicsChromosomesComputational biophysicsGene expression
10.1038/S41467-019-11897-0
ISSN:2041-1723

TADShop: systematic benchmarking and identification of topologically associating domains

Pumin LiAndras HatosMiljan PetrovicGian Marco FranceschiniLuca Nanni7
Nature Methods
2026
2026/5/27
00 p.1-9
Topologically associating domains (TADs) are structural units of chromatin organization. Their definition and identification rely on computational analyses of chromosome conformation capture data. Here we systematically assessed and compared 43 TAD identification strategies, none of which excelled i...
Computational biology and bioinformaticsEpigeneticsSoftware
10.1038/S41592-026-03100-2
ISSN:1548-7091

rRNA biogenesis regulates mouse 2C-like state by 3D structure reorganization of peri-nucleolar heterochromatin

Yu HuaSun ZhenTan TianyuPan HongruZhao Jing20
Nature Communications
2021
2021/11/9
Vol.12 No.1 p.1-21
The nucleolus is the organelle for ribosome biogenesis and sensing various types of stress. However, its role in regulating stem cell fate remains unclear. Here, we present evidence that nucleolar stress induced by interfering rRNA biogenesis can drive the 2-cell stage embryo-like (2C-like) program ...
Cell biologyDevelopmental biology
10.1038/S41467-021-26576-2
ISSN:2041-1723

Three-dimensional genome structures of single mammalian sperm

Heming XuYi ChiChangjian YinCheng LiYujie Chen13
Nature Communications
2025
2025/4/23
Vol.16 No.1 p.1-14
The three-dimensional (3D) organization of chromosomes is crucial for packaging a large mammalian genome into a confined nucleus and ensuring proper nuclear functions in somatic cells. However, the packaging of the much more condensed sperm genome is challenging to study with traditional imaging or ...
Chromatin structureEpigenomicsSpermatogenesis
10.1038/S41467-025-59055-Z
ISSN:2041-1723

Disruption of NIPBL/Scc2 in Cornelia de Lange Syndrome provokes cohesin genome-wide redistribution with an impact in the transcriptome

Garcia PatriciaFernandez-Hernandez RitaCuadrado AnaCoca IgnacioGomez Antonio16
Nature Communications
2021
2021/7/27
Vol.12 No.1 p.1-15
Cornelia de Lange syndrome (CdLS) is a rare disease affecting multiple organs and systems during development. Mutations in the cohesin loader, NIPBL/Scc2, were first described and are the most frequent in clinically diagnosed CdLS patients. The molecular mechanisms driving CdLS phenotypes are not un...
Chromosome segregationCohesionMechanisms of disease
10.1038/S41467-021-24808-Z
ISSN:2041-1723

Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of conformation

Dsouza Kevin B.Maslova AlexandraAl-Jibury EdiemMerkenschlager MatthiasBhargava Vijay K.6
Nature Communications
2022
2022/6/28
Vol.13 No.1 p.1-19
Despite the availability of chromatin conformation capture experiments, discerning the relationship between the 1D genome and 3D conformation remains a challenge, which limits our understanding of their affect on gene expression and disease. We propose Hi-C-LSTM, a method that produces low-dimension...
EpigenomicsMachine learning
10.1038/S41467-022-31337-W
ISSN:2041-1723

Reconstruction of diploid higher-order human 3D genome interactions from noisy Pore-C data using Dip3D

Ying ChenZhuo-Bin LinShao-Kai WangBo WuLongjian Niu17
Nature Structural & Molecular Biology
2025
2025/3/4
00 p.1-13
Differential high-order chromatin interactions between homologous chromosomes affect many biological processes. Traditional chromatin conformation capture genome analysis methods mainly identify two-way interactions and cannot provide comprehensive haplotype information, especially for low-heterozyg...
EpigenomicsGenomic analysisGenomicsHigh-throughput screening
10.1038/S41594-025-01512-W
ISSN:1545-9993

Transcription and DNA replication collisions lead to large tandem duplications and expose targetable therapeutic vulnerabilities in cancer

Yang YangMichelle L. BaduraPatrick C. O’LearyHenry M. DelavanTroy M. Robinson15
Nature Cancer
2024
2024/11/18
00 p.1-17
Despite the abundance of somatic structural variations (SVs) in cancer, the underlying molecular mechanisms of their formation remain unclear. In the present study, we used 6,193 whole-genome sequenced tumors to study the contributions of transcription and DNA replication collisions to genome instab...
CancerCancer genomicsGenome informaticsGenomic instability
10.1038/S43018-024-00848-4
ISSN:2662-1347

Revealing Hi-C subcompartments by imputing inter-chromosomal chromatin interactions

Kyle XiongJian Ma
Nature Communications
2019
2019/11/7
Vol.10 No.1 p.1-12
Higher-order genome organization and its variation in different cellular conditions remain poorly understood. Recent high-coverage genome-wide chromatin interaction mapping using Hi-C has revealed spatial segregation of chromosomes in the human genome into distinct subcompartments. However, subcompa...
Chromatin structureComputational biology and bioinformaticsEpigenomics
10.1038/S41467-019-12954-4
ISSN:2041-1723

CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction

Silvia GalanNick MachnikKai KruseNoelia DíazMarc A. Marti-Renom6
Nature Genetics
2020
2020/10/19
Vol.52 No.11 p.1247-1255
Dynamic changes in the three-dimensional (3D) organization of chromatin are associated with central biological processes, such as transcription, replication and development. Therefore, the comprehensive identification and quantification of these changes is fundamental to understanding of evolutionar...
EpigenomicsGenomic analysisGenomicsSoftware
10.1038/S41588-020-00712-Y
ISSN:1061-4036

Topological isolation of developmental regulators in mammalian genomes

Wu Hua-JunLandshammer AlexandroStamenova Elena K.Bolondi AdrianoKretzmer Helene7
Nature Communications
2021
2021/8/12
Vol.12 No.1 p.1-19
Precise control of mammalian gene expression is facilitated through epigenetic mechanisms and nuclear organization. In particular, insulated chromosome structures are important for regulatory control, but the phenotypic consequences of their boundary disruption on developmental processes are complex...
Computational biology and bioinformaticsDevelopmental biology
10.1038/S41467-021-24951-7
ISSN:2041-1723

FreeHi-C simulates high-fidelity Hi-C data for benchmarking and data augmentation

Ye ZhengSündüz Keleş
Nature Methods
2019
2019/11/11
Vol.17 No.1 p.37-40
The ability to simulate high-throughput chromatin conformation (Hi-C) data is foundational for benchmarking Hi-C data analysis methods. Here we present a nonparametric strategy named FreeHi-C to simulate Hi-C data from the interacting genome fragments. Data from FreeHi-C exhibit high fidelity to bio...
Computational modelsSoftwareStatistical methods
10.1038/S41592-019-0624-3
ISSN:1548-7091

A comprehensive benchmarking with interpretation and operational guidance for the hierarchy of topologically associating domains

Jingxuan XuXiang XuDandan HuangYawen LuoLin Lin14
Nature Communications
2024
2024/5/23
Vol.15 No.1 p.1-19
Topologically associating domains (TADs), megabase-scale features of chromatin spatial architecture, are organized in a domain-within-domain TAD hierarchy. Within TADs, the inner and smaller subTADs not only manifest cell-to-cell variability, but also precisely regulate transcription and differentia...
Data integrationEpigeneticsEpigenomicsGenome informaticsSoftware
10.1038/S41467-024-48593-7
ISSN:2041-1723

Loop-extrusion and polymer phase-separation can co-exist at the single-molecule level to shape chromatin folding

Conte MattiaIrani EhsanChiariello Andrea M.Abraham AlexBianco Simona7
Nature Communications
2022
2022/7/13
Vol.13 No.1 p.1-13
Loop-extrusion and phase-separation have been proposed as mechanisms that shape chromosome spatial organization. It is unclear, however, how they perform relative to each other in explaining chromatin architecture data and whether they compete or co-exist at the single-molecule level. Here, we compa...
Biological physicsChromatin structure
10.1038/S41467-022-31856-6
ISSN:2041-1723

Revisiting the use of structural similarity index in Hi-C

Hanjun LeeBruce BlumbergMichael S. LawrenceToshihiro Shioda
Nature Genetics
2023
2023/12/5
00 p.1-4
Computational biology and bioinformaticsEpigenomicsGenomics
10.1038/S41588-023-01594-6
ISSN:1061-4036

EmbedTAD Using Graph Embedding and Unsupervised Learning to Identify TADs from High-Resolution Hi-C Data

H. M. A. Mohit ChowdhuryOluwatosin Oluwadare
Communications Biology
2025
2025/12/9
0
Topologically Associating Domains (TADs) serve a functional purpose as self-interacting regions whose boundaries are enriched with various proteins. Identifying these TAD regions is essential for examining several biological characteristics, including immune system function and chromosome organizati...
Data miningMachine learning
10.1038/S42003-025-09224-Z
ISSN:2399-3642

A maximum-entropy model to predict 3D structural ensembles of chromatin from pairwise distances with applications to interphase chromosomes and structural variants

Shi GuangThirumalai D.
Nature Communications
2023
2023/3/1
Vol.14 No.1 p.1-14
The principles that govern the organization of genomes, which are needed for an understanding of how chromosomes are packaged and function in eukaryotic cells, could be deciphered if the three-dimensional (3D) structures are known. Recently, single-cell imaging techniques have been developed to dete...
Biological physicsComputational biophysics
10.1038/S41467-023-36412-4
ISSN:2041-1723

Widespread contribution of transposable elements to the rewiring of mammalian 3D genomes

Choudhary Mayank N. K.Quaid KaraXing XiaoyunSchmidt HeatherWang Ting
Nature Communications
2023
2023/2/6
Vol.14 No.1 p.1-12
Transposable elements (TEs) are major contributors of genetic material in mammalian genomes. These often include binding sites for architectural proteins, including the multifarious master protein, CTCF, which shapes the 3D genome by creating loops, domains, compartment borders, and RNA-DNA interact...
EpigenomicsGene regulation
10.1038/S41467-023-36364-9
ISSN:2041-1723

Dynamic network-guided CRISPRi screen identifies CTCF-loop-constrained nonlinear enhancer gene regulatory activity during cell state transitions

Renhe LuoJielin YanJin Woo OhWang XiDustin Shigaki20
Nature Genetics
2023
2023/7/24
00 p.1-11
Comprehensive enhancer discovery is challenging because most enhancers, especially those contributing to complex diseases, have weak effects on gene expression. Our gene regulatory network modeling identified that nonlinear enhancer gene regulation during cell state transitions can be leveraged to i...
Gene regulationHigh-throughput screeningMutagenesisStem cellsSystems analysis
10.1038/S41588-023-01450-7
ISSN:1061-4036

Evaluating the role of the nuclear microenvironment in gene function by population-based modeling

Asli YildirimNan HuaLorenzo BoninsegnaYuxiang ZhanGuido Polles10
Nature Structural & Molecular Biology
2023
2023/8/14
00 p.1-14
The nuclear folding of chromosomes relative to nuclear bodies is an integral part of gene function. Here, we demonstrate that population-based modeling—from ensemble Hi-C data—provides a detailed description of the nuclear microenvironment of genes and its role in gene function. We define the microe...
ChromatinChromatin analysisChromatin structureComputational biology and bioinformaticsNuclear organization
10.1038/S41594-023-01036-1
ISSN:1545-9993

Two distinct chromatin modules regulate proinflammatory gene expression

Isabelle SeufertIrene GerosaVassiliki Varamogianni-MamatsiAnastasiya VladimirovaEzgi Sen14
Nature Cell Biology
2025
2025/12/24
00 p.1-15
Gene activation and coregulation have been attributed to different mechanisms, such as enhancer–promoter interactions via chromatin looping or the accumulation of transcription factors into hubs or condensates. However, genome-wide studies exploring mechanistic differences in endogenous gene regulat...
Gene regulationGene regulatory networksNuclear organization
10.1038/S41556-025-01819-2
ISSN:1465-7392

Pioneer transcription factors direct tissue-specific cohesin chromatin entry and three-dimensional genome organization

Song WangXianglin ZhangTianwei JiaWenzheng WangXiaoyu Liu18
Nature Genetics
2026
2026/7/16
00 p.1-12
Cohesin organizes three-dimensional genome architecture by extruding DNA loops, but the mechanisms specifying its chromatin entry sites remain unclear. Here we show that the cohesin loader NIPBL is prepositioned at highly tissue-specific sites, largely distinct from the broadly conserved binding pro...
EpigenomicsProstate cancer
10.1038/S41588-026-02688-7
ISSN:1061-4036

Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions

Guochong JiaZhishan ChenJie PingQiuyin CaiRan Tao70
Nature Genetics
2025
2025/1/3
Vol.57 No.1 p.80-87
Genome-wide association studies have identified approximately 200 genetic risk loci for breast cancer, but the causal variants and target genes are mostly unknown. We sought to fine-map all known breast cancer risk loci using genome-wide association study data from 172,737 female breast cancer cases...
Breast cancerEpidemiology
10.1038/S41588-024-02031-Y
ISSN:1061-4036

Epromoters function as a hub to recruit key transcription factors required for the inflammatory response

Santiago-Algarra DavidSouaid CharbelSingh HimanshuDao Lan T. M.Hussain Saadat11
Nature Communications
2021
2021/11/18
Vol.12 No.1 p.1-18
Gene expression is controlled by the involvement of gene-proximal (promoters) and distal (enhancers) regulatory elements. Our previous results demonstrated that a subset of gene promoters, termed Epromoters, work as bona fide enhancers and regulate distal gene expression. Here, we hypothesized that ...
Gene regulationInflammation
10.1038/S41467-021-26861-0
ISSN:2041-1723

CGMega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection

Hao LiZebei HanYu SunFu WangPengzhen Hu14
Nature Communications
2024
2024/7/17
Vol.15 No.1 p.1-15
Cancer is rarely the straightforward consequence of an abnormality in a single gene, but rather reflects a complex interplay of many genes, represented as gene modules. Here, we leverage the recent advances of model-agnostic interpretation approach and develop CGMega, an explainable and graph attent...
Acute myeloid leukaemiaBreast cancerComputational modelsData miningMachine learning
10.1038/S41467-024-50426-6
ISSN:2041-1723