Single-Cell Atlas of Transcription and Chromatin States Reveals Regulatory Programs in the Human Brain
Yang XieiD, Lei ChangiD, Guojie ZhongiD, Jonathan A. RinkiD, Tatiana Baez-Becerra, Ethan J. ArmandiD, Wubin DingiD, Kai Li, Éric Bonne, Anita Lie, Hannah S. IndralingamiD, Keyi DongiD, Timothy H. Loe, Bohan Huang, Zhaoning WangiD, Ariana S. BarcomaiD, Jackson K. Willier, Kyle W. Knutson, Jiayi Liu, Silvia ChoiD, Stella Maris Cao, Kaitlyn G. Russo, Carissa K. Young, Jessica Arzavala, Yareli Sanchez, , Bing ReniD
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. HIGHLIGHTSO_LIJoint single-cell profiling of transcriptomes with active or repressive histone modification in >750,000 nuclei across adult human brain. C_LIO_LIChromatin state annotation of >500,000 candidate cis-regulatory elements distinguishes active enhancers from accessible and Polycomb-repressed regions. C_LIO_LICell-type-resolved regulatory networks and sequence-based deep learning model prioritize functional neuropsychiatric risk variants. C_LIO_LISpatial epigenomic imputation reveals laminar layer-specific Polycomb repression programs. C_LIO_LIIntegration with 3D genome architecture reveals neuron-specific super long-range chromatin loops silencing early developmental genes. C_LIO_LIEvolutionary analysis uncovers conserved active regulatory grammar but divergent repressive landscape. C_LI
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