Sci-Space E14 Mouse Embryo Data
Ontology highlight
ABSTRACT: Spatial patterns of gene expression span many scales, and are shaped by both local (e.g. cell-cell interactions) and global (e.g. tissue, organ) context. However, most in situ methods for profiling gene expression either average local contexts or are restricted to limited fields of view. Here we introduce sci-Space, a scale-flexible method that retains single cell resolution while resolving spatial heterogeneity in gene expression at larger scales. As a proof-of-concept, we apply sci-Space to the developing mouse embryo (E14), capturing the approximate spatial coordinates of profiled cells from whole embryo serial sections.
ORGANISM(S): Mus musculus
PROVIDER: GSE166692 | GEO | 2021/07/01
REPOSITORIES: GEO
ACCESS DATA