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

preprint OA: closed
Full text JSON View at publisher
Full text 2,298 characters · extracted from oa-doi-fallback · click to expand
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. Competing Interest Statement B.R. is a consultant of and has equity interests in Arima Genomics, Inc. B.R. is a cofounder of Epigenome Technologies Inc. J.R.E. is a scientific adviser for Zymo Research Inc. and Ionis Pharmaceuticals. The remaining authors declare no competing interests.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00