4.7 Article

Comprehensive in situ mapping of human cortical transcriptomic cell types

Journal

COMMUNICATIONS BIOLOGY
Volume 4, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s42003-021-02517-z

Keywords

-

Funding

  1. Stockholm University

Ask authors/readers for more resources

Langseth et al. present a spatial atlas of human cortical cells in their native position by mapping and classifying a total of 59,816 cells into all 75 previously defined subtypes, providing a valuable resource for the research community. The abundances and distribution of cell types within and across layers can serve as a reference for further studies on human brain tissues and disease applications at the cell type level.
Langseth et al. present cell type maps of human cortical tissue sections and show an efficient and robust workflow to accurately resolve anatomical organization of human brain tissue. The ability to spatially resolve the cellular architecture of human cortical cell types over informative areas is essential to understanding brain function. We combined in situ sequencing gene expression data and single-nucleus RNA-sequencing cell type definitions to spatially map cells in sections of the human cortex via probabilistic cell typing. We mapped and classified a total of 59,816 cells into all 75 previously defined subtypes to create a first spatial atlas of human cortical cells in their native position, their abundances and genetic signatures. We also examined the precise within- and across-layer distributions of all the cell types and provide a resource for the cell atlas community. The abundances and locations presented here could serve as a reference for further studies, that include human brain tissues and disease applications at the cell type level.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available