A toolkit for mapping cell identities in relation to neighbors reveals conserved patterning of neuromesodermal progenitor populations.

ABSTRACT: Patterning of cell fates is central to embryonic development, tissue homeostasis, and disease. Quantitative analysis of patterning reveals the logic by which cell-cell interactions orchestrate changes in cell fate. However, it is challenging to quantify patterning when graded changes in identity occur over complex 4D trajectories, or where different cell states are intermingled. Furthermore, comparing patterns across multiple individual embryos, tissues, or organoids is difficult because these often vary in shape and size. This problem is further exacerbated when comparing patterning between species. Here we present a toolkit of computational approaches to tackle these problems. These strategies are based on measuring properties of each cell in relation to the properties of its neighbors t

SUBMITTER: French M 

PROVIDER: S-EPMC12303391 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature