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Cell-type-specific 3D epigenomes in the developing human cortex.
Citation | “Cell-Type-Specific 3D Epigenomes In The Developing Human Cortex.”. Nature, pp. 644-649. . |
Author | Michael Song, Mark-Phillip Pebworth, Xiaoyu Yang, Armen Abnousi, Changxu Fan, Jia Wen, Jonathan D Rosen, Mayank N K Choudhary, Xiekui Cui, Ian R Jones, Seth Bergenholtz, Ugomma C Eze, Ivan Juric, Bingkun Li, Lenka Maliskova, Jerry Lee, Weifang Liu, Alex A Pollen, Yun Li, Ting Wang, Ming Hu, Arnold R Kriegstein, Yin Shen |
Abstract |
Lineage-specific epigenomic changes during human corticogenesis have been difficult to study owing to challenges with sample availability and tissue heterogeneity. For example, previous studies using single-cell RNA sequencing identified at least 9 major cell types and up to 26 distinct subtypes in the dorsal cortex alone. Here we characterize cell-type-specific cis-regulatory chromatin interactions, open chromatin peaks, and transcriptomes for radial glia, intermediate progenitor cells, excitatory neurons, and interneurons isolated from mid-gestational samples of the human cortex. We show that chromatin interactions underlie several aspects of gene regulation, with transposable elements and disease-associated variants enriched at distal interacting regions in a cell-type-specific manner. In addition, promoters with increased levels of chromatin interactivity-termed super-interactive promoters-are enriched for lineage-specific genes, suggesting that interactions at these loci contribute to the fine-tuning of transcription. Finally, we develop CRISPRview, a technique that integrates immunostaining, CRISPR interference, RNAscope, and image analysis to validate cell-type-specific cis-regulatory elements in heterogeneous populations of primary cells. Our findings provide insights into cell-type-specific gene expression patterns in the developing human cortex and advance our understanding of gene regulation and lineage specification during this crucial developmental window. |
Year of Publication |
2020
|
Journal |
Nature
|
Volume |
587
|
Issue |
7835
|
Number of Pages |
644-649
|
Date Published |
11/2020
|
ISSN Number |
1476-4687
|
DOI |
10.1038/s41586-020-2825-4
|
Alternate Journal |
Nature
|
PMID |
33057195
|
PMCID |
PMC7704572
|
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