Author
Listed:
- Michael Song
(University of California, San Francisco
University of California, San Francisco)
- Mark-Phillip Pebworth
(University of California, San Francisco
University of California, San Francisco)
- Xiaoyu Yang
(University of California, San Francisco)
- Armen Abnousi
(Lerner Research Institute, Cleveland Clinic Foundation)
- Changxu Fan
(Washington University School of Medicine
Washington University School of Medicine)
- Jia Wen
(University of North Carolina)
- Jonathan D. Rosen
(University of North Carolina)
- Mayank N. K. Choudhary
(Washington University School of Medicine
Washington University School of Medicine)
- Xiekui Cui
(University of California, San Francisco)
- Ian R. Jones
(University of California, San Francisco)
- Seth Bergenholtz
(University of California, San Francisco)
- Ugomma C. Eze
(University of California, San Francisco
Medical Scientist Training Program, University of California, San Francisco)
- Ivan Juric
(Lerner Research Institute, Cleveland Clinic Foundation)
- Bingkun Li
(University of California, San Francisco)
- Lenka Maliskova
(University of California, San Francisco)
- Jerry Lee
(University of California, San Francisco)
- Weifang Liu
(University of North Carolina)
- Alex A. Pollen
(University of California, San Francisco
University of California, San Francisco)
- Yun Li
(University of North Carolina
University of North Carolina
University of North Carolina)
- Ting Wang
(Washington University School of Medicine
Washington University School of Medicine
Washington University School of Medicine)
- Ming Hu
(Lerner Research Institute, Cleveland Clinic Foundation)
- Arnold R. Kriegstein
(University of California, San Francisco
University of California, San Francisco)
- Yin Shen
(University of California, San Francisco
University of California, San Francisco
University of California, San Francisco)
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 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.
Suggested Citation
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 &, 2020.
"Cell-type-specific 3D epigenomes in the developing human cortex,"
Nature, Nature, vol. 587(7835), pages 644-649, November.
Handle:
RePEc:nat:nature:v:587:y:2020:i:7835:d:10.1038_s41586-020-2825-4
DOI: 10.1038/s41586-020-2825-4
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