Control of genes by self-organizing multicellular interaction networks
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arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866911715078176768 |
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| author | Allison, Kyle R. |
| author_facet | Allison, Kyle R. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_26530 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Control of genes by self-organizing multicellular interaction networks Allison, Kyle R. Molecular Networks 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. |
| title | Control of genes by self-organizing multicellular interaction networks |
| topic | Molecular Networks |
| url | https://arxiv.org/abs/2603.26530 |