Novel metrics reveal new structure and unappreciated heterogeneity in Caenorhabditis elegans development.

ABSTRACT: High throughput experimental approaches are increasingly allowing for the quantitative description of cellular and organismal phenotypes. Distilling these large volumes of complex data into meaningful measures that can drive biological insight remains a central challenge. In the quantitative study of development, for instance, one can resolve phenotypic measures for single cells onto their lineage history, enabling joint consideration of heritable signals and cell fate decisions. Most attempts to analyze this type of data, however, discard much of the information content contained within lineage trees. In this work we introduce a generalized metric, which we term the branch edit distance, that allows us to compare any two embryos based on phenotypic measurements in individual cells. This a

SUBMITTER: Natesan G 

PROVIDER: S-EPMC10763962 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature