Control of genes by self-organizing multicellular interaction networks

2026/03/27 by Kyle R. Allison · 1 voice
Biochemistry, Genetics and Molecular Biology · #q-bio.MN

paper · pdf · doi:10.1038/s41540-026-00745-9

arxiv published 2026/03/27 · arxiv updated 2026/05/06

Abstract

Multicellular self-organization drives development in biological organisms, yet a comprehensive theory is lacking as basic properties of cells can complicate common approaches. Framing such properties by dynamic graphs led to new theoretical propositions for multicellular self-organization in Escherichia coli. Here, corresponding ideas are developed from biologically-general first principles. The resulting perspective could aid both experimental and computational approaches to multicellular biology as well as efforts to control and engineer it.

Citations

• Multicellular self-organization in Escherichia coli
• EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
• Programming self-organizing multicellular structures with synthetic cell-cell signaling
• Temporal networks
• The Mechanics and Statistics of Active Matter
• The chemical basis of morphogenesis
• MICROTUBULE POLYMERIZATION DYNAMICS

Discussions

• Kyle R. Allison: Control of genes by self-organizing multicellular interaction networks https://arxiv.org/abs/2603.26530 https://arxiv.org/pdf/2603.26530 https://arxiv.org/html/2603.26530 [bsky, 0 points, 0 comments]

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• Multicellular control of gene networks
• Multicellular self-organization in Escherichia coli
• Self-organization principles of cell cycles and gene expressions in the development of cell populations
• Real-time Evolution of Multicellularity with Artificial Gene Regulation
• Cellular organization by self-organization