Unknown

Dataset Information

0

Transcription-coupled structural dynamics of topologically associating domains regulate replication origin efficiency.


ABSTRACT:

Background

Metazoan cells only utilize a small subset of the potential DNA replication origins to duplicate the whole genome in each cell cycle. Origin choice is linked to cell growth, differentiation, and replication stress. Although various genetic and epigenetic signatures have been linked to the replication efficiency of origins, there is no consensus on how the selection of origins is determined.

Results

We apply dual-color stochastic optical reconstruction microscopy (STORM) super-resolution imaging to map the spatial distribution of origins within individual topologically associating domains (TADs). We find that multiple replication origins initiate separately at the spatial boundary of a TAD at the beginning of the S phase. Intriguingly, while both high-efficiency and low-efficiency origins are distributed homogeneously in the TAD during the G1 phase, high-efficiency origins relocate to the TAD periphery before the S phase. Origin relocalization is dependent on both transcription and CTCF-mediated chromatin structure. Further, we observe that the replication machinery protein PCNA forms immobile clusters around TADs at the G1/S transition, explaining why origins at the TAD periphery are preferentially fired.

Conclusion

Our work reveals a new origin selection mechanism that the replication efficiency of origins is determined by their physical distribution in the chromatin domain, which undergoes a transcription-dependent structural re-organization process. Our model explains the complex links between replication origin efficiency and many genetic and epigenetic signatures that mark active transcription. The coordination between DNA replication, transcription, and chromatin organization inside individual TADs also provides new insights into the biological functions of sub-domain chromatin structural dynamics.

SUBMITTER: Li Y 

PROVIDER: S-EPMC8276456 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC4251741 | biostudies-literature
| S-EPMC6310487 | biostudies-literature
| S-EPMC4937343 | biostudies-literature
| S-EPMC11249266 | biostudies-literature
| S-EPMC7114812 | biostudies-literature
2018-08-08 | GSE84705 | GEO
| S-EPMC4691752 | biostudies-literature
| S-EPMC7567612 | biostudies-literature
| S-EPMC9732975 | biostudies-literature