Abstract
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.
Original language | English |
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Pages (from-to) | 10-17 |
Number of pages | 8 |
Journal | Current Opinion in Genetics & Development |
Volume | 67 |
DOIs | |
Publication status | E-pub ahead of print - 18 Nov 2020 |