A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex
成果类型：
Article
署名作者：
Huuki-Myers, Louise A.; Spangler, Abby; Eagles, Nicholas J.; Montgomery, Kelsey D.; Kwon, Sang Ho; Guo, Boyi; Grant-Peters, Melissa; Divecha, Heena R.; Tippani, Madhavi; Sriworarat, Chaichontat; Nguyen, Annie B.; Ravichandran, Prashanthi; Tran, Matthew N.; Seyedian, Arta; Hyde, Thomas M.; Kleinman, Joel E.; Battle, Alexis; Page, Stephanie C.; Ryten, Mina; Hicks, Stephanie C.; Martinowich, Keri; Collado-Torres, Leonardo; Maynard, Kristen R.
署名单位：
Johns Hopkins University; Johns Hopkins Medicine; Johns Hopkins University; Johns Hopkins Medicine; Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health; University of London; University College London; Johns Hopkins University; Johns Hopkins Medicine; Johns Hopkins University; Johns Hopkins Medicine; Johns Hopkins University; Johns Hopkins Medicine; Johns Hopkins University; Johns Hopkins University; Johns Hopkins Medicine; Johns Hopkins University; University of London; University College London; Johns Hopkins University; Johns Hopkins University
刊物名称：
SCIENCE
ISSN/ISSBN：
0036-10593
DOI：
10.1126/science.adh1938
发表日期：
2024-05-24
关键词：
gene-expression
functional neuroanatomy
schizophrenia
Visualization
brain
摘要：
The molecular organization of the human neocortex historically has been studied in the context of its histological layers. However, emerging spatial transcriptomic technologies have enabled unbiased identification of transcriptionally defined spatial domains that move beyond classic cytoarchitecture. We used the Visium spatial gene expression platform to generate a data-driven molecular neuroanatomical atlas across the anterior-posterior axis of the human dorsolateral prefrontal cortex. Integration with paired single-nucleus RNA-sequencing data revealed distinct cell type compositions and cell-cell interactions across spatial domains. Using PsychENCODE and publicly available data, we mapped the enrichment of cell types and genes associated with neuropsychiatric disorders to discrete spatial domains