Presented by Mr. Erick Armingol (University of California, San Diego) Cell-cell interactions (CCIs) are crucial for multicellular life. They shape cellular functions which can ultimately influence organismal phenotype. Since intercellular interactions can be inferred from RNA-sequencing data by integrating prior knowledge about ligand-receptor interactions, one can employ these strategies to unveil how CCIs are associated with spatial organizations across the whole body of multicellular organisms. In particular, we are interested in understanding the spatial code embedded in the molecular interactions that drive and sustain spatial organization, and the organization that in turns drives intercellular interactions across a living animal. Strategies for studying CCIs from gene expression will be overviewed and exemplified by a computational strategy to inspect CCIs at the whole body of Caenorhabditis elegans larvae. Briefly, this strategy encompasses the inference of an overall potential of intercellular interactions through a new Bray-Curtis-like metric, a genetic algorithm to select the ligand-receptor pairs most informative of the spatial organization of cells and the functional association of these molecular bases encoding spatial information.