Novel orthogonal methods to uncover the complexity and diversity of nuclear architecture.

Recent years have seen a vast expansion of knowledge on three-dimensional (3D) genome organization. The majority of studies on chromosome topology consists of pairwise interaction data of bulk populations of cells and therefore conceals heterogenic and more complex folding patterns. Here, we discuss novel methodologies to study the variation in genome topologies between different cells and techniques that allow analysis of complex, multi-way interactions. These technologies will aid the interpretation of genome-wide chromosome conformation data and provide strategies to further dissect the interplay between genome architecture and transcription regulation.

• Publication year

  2020

• Venue

  Current Opinion in Genetics and Development

• Publication date

  2020-11-18

• Fields of study

  Biology, Medicine

• Identifiers
  DOI 10.1016/j.gde.2020.10.002PMID 33220512
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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