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- W3206959665 abstract "Multicellular organisms contain diverse tissues built from multiple cell types. It remains unclear how large numbers of interacting cells can precisely coordinate their gene expression during tissue self-organization. We develop a generalized model of multicellular gene expression that includes intracellular and intercellular gene interactions in tissue-like collectives. Motivated by modern transcriptomics, we represent multistable cellular phenotypes by mapping the binarized transcriptional patterns of individual cells onto Hopfield networks. We incorporate spatial cell-cell signaling by coupling transcriptional states of adjacent cells on a square lattice. We show that tuning the intercellular signaling strength results in a cascade of transitions toward different collective states with emergent single-cell phenotypes. Despite an enormous number of possible tissue states, we find that intercellular signaling tends to stabilize a small number of compositionally and spatially simple tissue types. These results establish a theoretical framework to investigate how cell collectives self-organize into distinct stable patterns." @default.
- W3206959665 created "2021-10-25" @default.
- W3206959665 creator A5055772958 @default.
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- W3206959665 date "2023-02-01" @default.
- W3206959665 modified "2023-10-13" @default.
- W3206959665 title "Emergent properties of collective gene-expression patterns in multicellular systems" @default.
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- W3206959665 doi "https://doi.org/10.1016/j.xcrp.2023.101247" @default.
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