176
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

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

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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. 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.

          Related collections

          Most cited references19

          • Record: found
          • Abstract: found
          • Article: not found

          Chromosome Conformation Capture Carbon Copy (5C): a massively parallel solution for mapping interactions between genomic elements.

          Physical interactions between genetic elements located throughout the genome play important roles in gene regulation and can be identified with the Chromosome Conformation Capture (3C) methodology. 3C converts physical chromatin interactions into specific ligation products, which are quantified individually by PCR. Here we present a high-throughput 3C approach, 3C-Carbon Copy (5C), that employs microarrays or quantitative DNA sequencing using 454-technology as detection methods. We applied 5C to analyze a 400-kb region containing the human beta-globin locus and a 100-kb conserved gene desert region. We validated 5C by detection of several previously identified looping interactions in the beta-globin locus. We also identified a new looping interaction in K562 cells between the beta-globin Locus Control Region and the gamma-beta-globin intergenic region. Interestingly, this region has been implicated in the control of developmental globin gene switching. 5C should be widely applicable for large-scale mapping of cis- and trans- interaction networks of genomic elements and for the study of higher-order chromosome structure.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Probabilistic modeling of Hi-C contact maps eliminates systematic biases to characterize global chromosomal architecture.

            Hi-C experiments measure the probability of physical proximity between pairs of chromosomal loci on a genomic scale. We report on several systematic biases that substantially affect the Hi-C experimental procedure, including the distance between restriction sites, the GC content of trimmed ligation junctions and sequence uniqueness. To address these biases, we introduce an integrated probabilistic background model and develop algorithms to estimate its parameters and renormalize Hi-C data. Analysis of corrected human lymphoblast contact maps provides genome-wide evidence for interchromosomal aggregation of active chromatin marks, including DNase-hypersensitive sites and transcriptionally active foci. We observe extensive long-range (up to 400 kb) cis interactions at active promoters and derive asymmetric contact profiles next to transcription start sites and CTCF binding sites. Clusters of interacting chromosomal domains suggest physical separation of centromere-proximal and centromere-distal regions. These results provide a computational basis for the inference of chromosomal architectures from Hi-C experiments.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Active genes dynamically colocalize to shared sites of ongoing transcription.

              The intranuclear position of many genes has been correlated with their activity state, suggesting that migration to functional subcompartments may influence gene expression. Indeed, nascent RNA production and RNA polymerase II seem to be localized into discrete foci or 'transcription factories'. Current estimates from cultured cells indicate that multiple genes could occupy the same factory, although this has not yet been observed. Here we show that, during transcription in vivo, distal genes colocalize to the same transcription factory at high frequencies. Active genes are dynamically organized into shared nuclear subcompartments, and movement into or out of these factories results in activation or abatement of transcription. Thus, rather than recruiting and assembling transcription complexes, active genes migrate to preassembled transcription sites.
                Bookmark

                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                26 September 2013
                25 September 2013
                3 October 2013
                03 April 2014
                : 502
                : 7469
                : 10.1038/nature12593
                Affiliations
                [1 ]Nuclear Dynamics Programme, The Babraham Institute, Cambridge, UK
                [2 ]Department of Computer Science and Applied Mathematics and Department of Biological Regulation, Weizmann Institute, Rehovot, Israel
                [3 ]Department of Biochemistry, University of Cambridge, UK
                [4 ]Epigenetics Programme, The Babraham Institute, Cambridge, UK
                Author notes
                Correspondence and requests for materials should be addressed to PF ( peter.fraser@ 123456babraham.ac.uk ) for the single cell Hi-C method, AT ( amos.tanay@ 123456weizmann.ac.il ) for the statistical analysis, or EDL ( e.d.laue@ 123456bioc.cam.ac.uk ) for the structural modelling.

                Author Contributions TN and PF devised the single cell Hi-C method. TN performed single cell Hi-C and DNA FISH experiments. SS carried out ensemble Hi-C experiments. WD microscopically isolated single cells. YL, EY and AT processed and statistically analyzed the sequence data. TJS and EDL developed the approach to structural modelling and analysed X chromosome structures. TJS wrote the software for 3D modeling, analysis and visualisation of chromosome structures. TN, YL, TJS, EDL, AT and PF contributed to writing the manuscript, with inputs from all other authors.

                Article
                EMS54652
                10.1038/nature12593
                3869051
                24067610
                adb9f561-680c-49d0-8ad9-3b4dc48c74a9

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                Reprints and permissions information is available at www.nature.com/reprints.

                History
                Categories
                Article

                Uncategorized
                Uncategorized

                Comments

                Comment on this article