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Inter-individual variation of cellular and gene-expression properties of the human striatum

Burger, S.; Yoo, O.; Nemesh, J.; Muratoglu, E.; Vanderburg, C.; Yuan, J.; Shakir, K.; Mello, C. J.; Rayan, N. A.; Milidantri, J.; Kim, K.; Drouin, S.; Finn, E.; Gao, H.; Budnik, N.; Goldman, M.; Fritch, H.; Genovese, G.; Hogan, M.; Catalini, O.; Kashin, S.; Rockweiler, N.; Wysoker, A.; Macaisa, L.; Reese, L.; Flowers, K.; Kraft, A. W.; Fleming, S. J.; Coe, M.; Gunaratne, R.; Spina, L.; Crombie, C.; Mohsin, A.; Kamitaki, N.; Macosko, E. Z.; Ichihara, K.; McCarroll, S. A.

2026-03-23 neuroscience
10.64898/2026.03.20.713160 bioRxiv
Show abstract

The human brain varies from person to person in ways that shape behaviors and vulnerabilities, yet the cellular and molecular bases for inter-individual variation are largely unknown. Here we describe an analysis of cellular and gene-expression variation in four key structures of the striatum complex - the caudate, putamen, nucleus accumbens, and internal capsule - as well as the prefrontal cortex, from single-nucleus RNA-seq analysis of 3.9 million nuclei from 178 adult brain donors. We found that people with more astrocytes in any one brain region tended to have this property in all brain regions sampled; the same was true of striatal interneurons, microglia, and oligodendrocyte precursor cells (OPCs). OPCs showed attrition with age, declining in numbers by approximately 40% between age 30 and age 80 in both gray matter and white matter regions. We identified thousands of age-associated (but few sex-associated) variations in gene expression; the vast majority of these effects of age were cell-type-specific. Aging most strongly affected gene expression in projection neurons - especially striatal medium spiny neurons (MSNs/SPNs) - and had a much smaller effect on gene expression in interneurons. Individuals ages could be predicted to within about five years based on RNA-expression patterns from any of the striatal cell types. Common genetic variants detectably affected the expression levels of some ten thousand genes; the great majority of these effects were cell-type-specific. These data will provide a foundation for exploring natural inter-individual variation, aging, and tissue-based studies of human brain vulnerabilities.

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