Assessing the replicability of spatial gene expression using atlas data from the adult mouse brain.

ABSTRACT: High-throughput, spatially resolved gene expression techniques are poised to be transformative across biology by overcoming a central limitation in single-cell biology: the lack of information on relationships that organize the cells into the functional groupings characteristic of tissues in complex multicellular organisms. Spatial expression is particularly interesting in the mammalian brain, which has a highly defined structure, strong spatial constraint in its organization, and detailed multimodal phenotypes for cells and ensembles of cells that can be linked to mesoscale properties such as projection patterns, and from there, to circuits generating behavior. However, as with any type of expression data, cross-dataset benchmarking of spatial data is a crucial first step. Here, we assess

SUBMITTER: Lu S 

PROVIDER: S-EPMC8321401 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature