bioRxivNeurosciencePreprint
A Population-scale Single-cell Spatial Transcriptomic Atlas of the Human Cortex
Lei HaniD, Zhen LiuiD, Lifang WangiD, Yuxuan LiuiD, Yanrong WeiiD, Jianyun Ma, Youzhe HeiD, Yichen Zuo, Jiao FangiD, Hui YangiD, Xiang ZouiD, Zihan WuiD, Min WangiD, Wei Liu, Gao LiiD, Yuyang LiuiD, Xinxiang SongiD, Yao Santo ZhangiD, Junjie Lei, Huanhuan LiiD, Leiting LiiD, Yingjie An, Bufan Jin, Yanqing Zhong, Qinwen ChaiiD, , Wei WuiD
Abstract
The genetic and spatial determinants of cell type diversity in human cerebral cortices remain poorly defined. Here, we present a population-level single-cell spatial transcriptomic atlas of human cortices from 71 donors across the lifespan. We identified 906 layer-specific genes showing conserved and divergent laminar expression patterns between humans and other species. Spatial analysis revealed neuronal vulnerability and glial activation during aging, together with a decline in the proportion of superficial SST neurons and their interactions with other cells. Disease-associated genes exhibited high cell-type and layer-specific expression, implicating the pathogenic role of spatially specific gene expression. Spatial cis-eQTL analysis identified regulatory variants linked to genes related to diseases like Tourette syndrome. Cross-species comparison demonstrated glial expansion in the human cortex, accompanied by enhanced neuron-glia communication via the neuregulin signaling. Together, we provide a comprehensive single-cell atlas of the human cortex that is essential for understanding aging, evolution, and disease pathogenesis.
- organism: human
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: eQTL / molecular QTL mapping
- approach: statistical model
- Citations
- 2
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