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Smart, M., & Zilman, A. (2023). Emergent properties of collective gene-expression patterns in multicellular systems. Cell Reports Physical Science, 4(2), 101247. Added by: Dr. Enrique Feoli (04/04/2026, 10:51) Last edited by: Dr. Enrique Feoli (04/04/2026, 10:51) |
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| Resource type: Journal Article Published DOI: 10.1016/j.xcrp.2023.101247 ID no. (ISBN etc.): 2666-3864 BibTeX citation key: Smart2023 View all bibliographic details  |
Categories: BioAcyl Corp Subcategories: Cell plasticity Keywords: attractor, gene-regulatory networks, patterning, self-organization, spin glass, transcription Creators: Smart, Zilman Collection: Cell Reports Physical Science |
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| Abstract |
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Summary 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.
Added by: Dr. Enrique Feoli Last edited by: Dr. Enrique Feoli |