bioRxivMolecular BiologyPreprint
Topoisomerase IIβ targets DNA crossovers formed between distant homologous sites to modulate chromatin structure and gene expression
Mary MiyajiiD, Ryohei Furuta, Osamu Hosoya, Kuniaki Sano, Norikazu HaraiD, Ryozo KuwanoiD, Jiyoung KangiD, Masaru TatenoiD, Kimiko Tsutsui, Ken Tsutsui
Abstract
BackgroundType II DNA topoisomerases (topo II) flip the spatial positions of two DNA duplexes, called G- and T-segments, by a cleavage-passage-resealing mechanism. In living cells, these DNA segments can be placed far from each other on the same chromosome. However, no direct evidence for this to occur has been described so far due to lack of proper methodology.\n\nResultsThe beta isoform of topo II (topo II{beta}) is essential for transcriptional regulation of genes expressed in the final stage of neuronal differentiation. To elucidate the enzymes role in the process, here we devise a genome-wide mapping technique for topo II{beta} target sites that can measure the genomic distance between G- and T-segments. It became clear that the enzyme operates in two distinctive modes, termed proximal strand passage (PSP) and distal strand passage (DSP). PSP sites are concentrated around transcription start sites, whereas DSP sites are heavily clustered in small number of hotspots. While PSP represent the conventional topo II targets that remove local torsional stresses, DSP sites have not been described previously. Most remarkably, DSP is driven by the pairing between homologous sequences or repeats located in a large distance. A model-building approach suggested that the DSP sites are intertwined or knotted and topo II{beta} is engaged in unknotting reaction that leads to chromatin decondensation and gene regulation.\n\nConclusionsWhen combined with categorized gene expression analysis, the model-based prediction of DSP sites reveals that DSP is one of the key factors for topo II{beta}-dependency of neuronal gene regulation.
- organism: human
- assay: DNA methylation
- assay: ChIP-seq
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 2
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