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A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex

Huuki-Myers, Louise A; Spangler, Abby; Eagles, Nicholas J; Montgomery, Kelsey D; Kwon, Sang Ho; Guo, Boyi; Grant-Peters, Melissa; ... PsychENCODE Consortium; + view all (2024) A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex. Science , 384 (6698) , Article ARTN eadh1938. 10.1126/science.adh1938. Green open access

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Abstract

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.

Type: Article
Title: A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1126/science.adh1938
Publisher version: http://dx.doi.org/10.1126/science.adh1938
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, GENE-EXPRESSION, FUNCTIONAL NEUROANATOMY, SCHIZOPHRENIA, VISUALIZATION, BRAIN
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Genetics and Genomic Medicine Dept
URI: https://discovery.ucl.ac.uk/id/eprint/10196666
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