Cell type–specific 3D-genome organization and transcription regulation in the brain
3D organization of the genome plays a critical role in regulating gene expression. How 3D-genome organization differs among different cell types and relates to cell type-dependent transcriptional regulation remains unclear. Here, we used genome-scale DNA and RNA imaging to investigate 3D-genome organization in transcriptionally distinct cell types in the mouse cerebral cortex. We uncovered a wide spectrum of differences in the nuclear architecture and 3D-genome organization among different cell types, ranging from the size of the cell nucleus to higher-order chromosome structures and radial positioning of chromatin loci within the nucleus. These cell type-dependent variations in nuclear architecture and chromatin organization exhibit strong correlations with both the total transcriptional activity of the cell and transcriptional regulation of cell type-specific marker genes. Moreover, we found that the methylated DNA binding protein MeCP2 promotes active-inactive chromatin segregation and regulates transcription in a nuclear radial position-dependent manner that is highly correlated with its function in modulating active-inactive chromatin compartmentalization.
Authors
- Nathan R. Zemke (ORCID: https://orcid.org/0000-0002-6326-5925)
- Hannah L. Park (ORCID: https://orcid.org/0009-0000-5969-2433)
- Pu Zheng (ORCID: https://orcid.org/0000-0002-8047-1472)
- Bing Ren (ORCID: https://orcid.org/0000-0002-5435-1127)
- Peter Ren (ORCID: https://orcid.org/0000-0001-5283-3694)
- Bojing Blair Jia (ORCID: https://orcid.org/0000-0002-2090-2912)
- Xiaowei Zhuang (ORCID: https://orcid.org/0000-0002-6034-7853)
- Cosmos Yuqi Wang (ORCID: https://orcid.org/0000-0001-5793-0127)
- Shiwei Liu
Institutions
- Howard Hughes Medical Institute (US)
- Harvard University (US)
- University of California San Diego (US)
Publication Details
- Journal
- Science Advances
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1126/sciadv.adv2067
- Citations
- 15
- Primary Topic
- Genomics and Chromatin Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 12.09