Single-Cell Atlas of Transcription and Chromatin States Reveals Regulatory Programs in the Human Brain

Directly measuring chromatin states alongside transcription is essential for understanding how cell-type-specific regulatory programs are established and maintained in the adult human brain. We present a large-scale single-cell multimodal atlas generated by jointly profiling transcriptome with active (H3K27ac) and repressive (H3K27me3) histone modifications across 18 brain regions. We profile >750,000 nuclei spanning 160 cell types and integrate these data with chromatin accessibility, DNA methylation, 3D genome architecture, and spatial transcriptome. This framework annotates >500,000 regulatory elements and resolves cell-type-specific chromatin states. We link enhancers to target genes, infer gene regulatory networks, and classify chromatin interactions, revealing neuron-enriched long-range Polycomb repression of developmental genes. Integrating these maps with GWAS data and sequence-based model prioritizes noncoding variants, effector genes, and vulnerable cell types for neuropsychiatric disorders. Finally, cross-species comparisons show conserved activation but more divergent repression. Together, this study provides a functional reference for interpreting noncoding variants, epigenetic memory, and brain organization.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-03
DOI
https://doi.org/10.64898/2026.02.02.703166
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
22.24
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article

Single-Cell Atlas of Transcription and Chromatin States Reveals Regulatory Programs in the Human Brain

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1 citations
bioRxiv (Cold Spring Harbor Laboratory)
Single-cell and spatial transcriptomics
22.24
article

Single-Cell Atlas of Transcription and Chromatin States Reveals Regulatory Programs in the Human Brain

Alexander Monell, Jacinta Lucero, Kai Li, Anita Lie, Julia Osteen, Guojie Zhong, Jessica Arzavala, Michelle Liem, Silvia Cho, Siavash Moghadami, Carissa Young, Chumo Chen, Daofeng Li, Stella Maris Cao, Natalie M. Schenker-Ahmed, William S. Owens, Zoey Zhao, Hannah S. Indralingam, Lei Chang, Keyi Dong, Quan Zhu, Jackson Willier, Ariana Barcoma, Timothy Loe, Mikayla Marrin, Amit Klein, Zhaoning Wang, Chu-Yi Tai, Colin Kern, Yang Xie, Aleksandra Bikkina, Wubin Ding, M. Margarita Behrens, Kaitlyn G. Russo, Ting Wang, Bohan Huang, Cesar Barragan, Carolyn OConnor, Jonathan A. Rink, Joseph R. Ecker, Shane N. Alt, Bing Ren, Ethan Armand, Yareli Sanchez, C. Dirk Keene, Cynthia Rose, Jacqueline Olness, Jesus Flores, Kyle W. Knutson, Rebecca D. Hodge, Tatiana Baez-Becerra, Xiangming Xu, Nora Emerson, Eric Boone
article en
1 citations

Abstract

Directly measuring chromatin states alongside transcription is essential for understanding how cell-type-specific regulatory programs are established and maintained in the adult human brain. We present a large-scale single-cell multimodal atlas generated by jointly profiling transcriptome with active (H3K27ac) and repressive (H3K27me3) histone modifications across 18 brain regions. We profile >750,000 nuclei spanning 160 cell types and integrate these data with chromatin accessibility, DNA methylation, 3D genome architecture, and spatial transcriptome. This framework annotates >500,000 regulatory elements and resolves cell-type-specific chromatin states. We link enhancers to target genes, infer gene regulatory networks, and classify chromatin interactions, revealing neuron-enriched long-range Polycomb repression of developmental genes. Integrating these maps with GWAS data and sequence-based model prioritizes noncoding variants, effector genes, and vulnerable cell types for neuropsychiatric disorders. Finally, cross-species comparisons show conserved activation but more divergent repression. Together, this study provides a functional reference for interpreting noncoding variants, epigenetic memory, and brain organization.

bioRxiv (Cold Spring Harbor Laboratory)
James S. McDonnell Foundation (US), Salk Institute for Biological Studies (US), Allen Institute for Brain Science (US), Howard Hughes Medical Institute (US), University of Washington (US), University of California, Irvine (US), Washington University in St. Louis (US), Columbia University Irving Medical Center (US), University of California San Diego (US), Allen Institute (US), New York Genome Center (US)
Openalex Percentile: Top 1%
Single-cell and spatial transcriptomics
22.24
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