Identifier Results
| Field | Value |
|---|---|
| Identifier | nemo:dat-uioqy8b |
| Dataset Name | Cell-type-specific 3D epigenomes in the developing human cortex |
| Version | 1 |
| Release Date | NA |
| DOI | NA |
| Source Data URL | This is a restricted access dataset. Instructions for controlled access are available at https://nemoarchive.org/resources/accessing-controlled-access-data.php |
| Dataset Collection URL | https://data.nemoarchive.org/5923ca16c51011e99da31f7757ebac1c/shen_bdbag_2019.tgz |
| Description | 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 alone1,2. 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. |
| Keywords | |
| Total Files in Collection | 0 |
| Total Size in Collection (in GB) | 0.0 |
| Authors | 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 |
| Organization | Institute for Human Genetics, University of California, San Francisco |
| Contact Person | Michael Song |
| Contact E-Mail | song.michael12@gmail.com |
| External Identifier | Shen_nature_2020 |
| Grant Name | |
| Consortium | |
| Data Repository | NeMO |
| Data Repository RRID | RRID:SCR_016152 |
| Data License | NA |
| Data Access | NA |
| Community Standards | NA |
| Study Organism | NA |
| Protocol ID | NA |
| Parent Identifier | NA |
This identifier does not have sub-identifiers with "raw" data associated
This identifier does not have sub-identifiers with "analysis" data associated