Emergence of division of labor in tissues through cell interactions and spatial cues.

ABSTRACT: Most cell types in multicellular organisms can perform multiple functions. However, not all functions can be optimally performed simultaneously by the same cells. Functions incompatible at the level of individual cells can be performed at the cell population level, where cells divide labor and specialize in different functions. Division of labor can arise due to instruction by tissue environment or through self-organization. Here, we develop a computational framework to investigate the contribution of these mechanisms to division of labor within a cell-type population. By optimizing collective cellular task performance under trade-offs, we find that distinguishable expression patterns can emerge from cell-cell interactions versus instructive signals. We propose a method to construct ligand

SUBMITTER: Adler M 

PROVIDER: S-EPMC10242439 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature