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Epigenomic complexity of the human brain revealed by single-cell DNA methylomes and 3D genome structures

Tian, W.; Zhou, J.; Bartlett, A.; Zeng, Q.; Liu, H.; Castanon, R. G.; Kenworthy, M.; Altshul, J.; Valadon, C.; Aldridge, A.; Nery, J. R.; Chen, H.; Xu, J.; Johnson, N. D.; Lucero, J.; Osteen, J. K.; Emerson, N.; Rink, J.; Lee, J.; Li, Y.; Siletti, K.; Liem, M.; Claffey, N.; OConnor, C.; Yanny, A. M.; Nyhus, J.; Dee, N.; Casper, T.; Shapovalova, N.; Hirschstein, D.; Hodge, R.; Levi, B. P.; Keene, C. D.; Linnarsson, S.; Lein, E.; Ren, B.; Behrens, M. M.; Ecker, J. R.

2022-12-01 neuroscience
10.1101/2022.11.30.518285 bioRxiv
Show abstract

Delineating the gene regulatory programs underlying complex cell types is fundamental for understanding brain functions in health and disease. Here, we comprehensively examine human brain cell epigenomes by probing DNA methylation and chromatin conformation at single-cell resolution in over 500,000 cells from 46 brain regions. We identified 188 cell types and characterized their molecular signatures. Integrative analyses revealed concordant changes in DNA methylation, chromatin accessibility, chromatin organization, and gene expression across cell types, cortical areas, and basal ganglia structures. With these resources, we developed scMCodes that reliably predict brain cell types using their methylation status at select genomic sites. This multimodal epigenomic brain cell atlas provides new insights into the complexity of cell type-specific gene regulation in the adult human brain.

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