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

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Authors: Yang Xie, Lei Chang, Guojie Zhong, Jonathan Rink, Tatiana Baez-Becerra, Ethan J. Armand, Wubin Ding, Kai Li, Éric Bonne, Anita Lie, Hannah S. Indralingam, Keyi Dong
+43 more Timothy H. Loe, Bohan Huang, Zhaoning Wang, Ariana S. Barcoma, Jackson K. Willier, Kyle W. Knutson, Jiayi Liu, Silvia Cho, Stella Maris Cao, Kaitlyn G. Russo, Carissa K. Young, Jessica Arzavala, Yareli Sanchez, Aleksandra Bikkina, Natalie M. Schenker-Ahmed, Colin Kern, Zoey Zhao, Amit Klein, Jesus Flores, Chu-Yi Tai, Jacqueline Olness, Alexander Monell, Siavash Moghadami, Cesar Barragan, Chumo Chen, William S. Owens, Carolyn OConnor, Michelle Liem, Mikayla V. Marrin, Cynthia Rose, Shane N. Alt, Nora Emerson, Julia K. Osteen, Jacinta D. Lucero, Daofeng Li, Rebecca D. Hodge, Ting Wang, C. Dirk Keene, Xiangming Xu, Quan Zhu, Joseph R. Ecker, M. Margarita Behrens, Bing Ren
Cited by: 1
References: 128

Abstract

SUMMARY 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. HIGHLIGHTS Joint single-cell profiling of transcriptomes with active or repressive histone modification in >750,000 nuclei across adult human brain. Chromatin state annotation of >500,000 candidate cis -regulatory elements distinguishes active enhancers from accessible and Polycomb-repressed regions. Cell-type-resolved regulatory networks and sequence-based deep learning model prioritize functional neuropsychiatric risk variants. Spatial epigenomic imputation reveals laminar layer-specific Polycomb repression programs. Integration with 3D genome architecture reveals neuron-specific super long-range chromatin loops silencing early developmental genes. Evolutionary analysis uncovers conserved active regulatory grammar but divergent repressive landscape.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Genomics and Chromatin Dynamics Epigenetics and DNA Methylation

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
3 February 2026
Language
EN
Document type
Preprint