Chromosome conformation capture-based methods

Definition

Chromosome conformation capture (3C)-based methods reveal chromosome organization within the nucleus by determining the physical proximity of pairs of points along chromatin. They preserve chromatin interactions by cross-linking followed by fragmentation, ligation and sequencing of interacting regions. Genome organization affects processes such as transcription, repair and DNA replication.

Latest Research and Reviews

  • Research |

    Schalbetter et al. show by Hi-C and modelling that mitotic chromosome compaction in budding yeast occurs by cis-looping of chromatin, and reveal distinct roles for cohesin and condensin depending on chromatin context.

    • Stephanie Andrea Schalbetter
    • , Anton Goloborodko
    • , Geoffrey Fudenberg
    • , Jon-Matthew Belton
    • , Catrina Miles
    • , Miao Yu
    • , Job Dekker
    • , Leonid Mirny
    •  & Jonathan Baxter
    Nature Cell Biology 19, 1071–1080
  • Reviews |

    Mutations in non-coding parts of the genome can cause disease. Technological advances are providing unprecedented detail on genome organization and folding, and have revealed that enhancer–target gene coupling is spatially restricted, as it occurs within topologically associated domains (TADs), and that disrupting such organization can lead to disease-associated gene dysregulation.

    • Peter Hugo Lodewijk Krijger
    •  & Wouter de Laat
  • Reviews |

    The three-dimensional (3D) organization of eukaryote chromosomes regulates genome function and nuclear processes such as DNA replication, transcription and DNA-damage repair. Experimental and computational methodologies for 3D genome analysis have been rapidly expanding, with a focus on high-throughput chromatin conformation capture techniques and on data analysis.

    • Anthony D. Schmitt
    • , Ming Hu
    •  & Bing Ren
  • Reviews |

    Various methodologies have been developed to characterize diverse features of chromatin, but understanding how epigenomic states contribute to cellular heterogeneity requires adoption of these techniques at the single-cell level. This article discusses the technological developments driving single-cell epigenomics, including the practical and bioinformatic challenges and emerging biological insights.

    • Omer Schwartzman
    •  & Amos Tanay

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