ReviewJournal of the Royal Society, Interface2023
Tissues as networks of cells: towards generative rules of complex organ development.
Review in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Lateral inhibition governs ancestral cellular patterning in fossil and extant liverworts.Development (Cambridge, England) · 2026Article
- TheMaterials today. Bio · 2026Review
- Shaping 3D minimal model tissues with mechanical constraints to orchestrate muscle differentiation.Communications biology · 2025Article
- Tunable shear thickening, aging, and rejuvenation in suspensions of shape-memory-endowed liquid crystalline particles.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The salt-and-pepper pattern in mouse blastocysts is compatible with signaling beyond the nearest neighbors.iScience · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network analysis is a well-known and powerful tool in molecular biology. More recently, it has been introduced in developmental biology. Tissues can be readily translated into spatial networks such that cells are represented by nodes and intercellular connections by edges. This discretization of cellular organization enables mathematical approaches rooted in network science to be applied towards the understanding of tissue structure and function. Here, we describe how such tissue abstractions can enable the principles that underpin tissue formation and function to be uncovered. We provide an introduction into biologically relevant network measures, then present an overview of different areas of developmental biology where these approaches have been applied. We then summarize the general developmental rules underpinning tissue topology generation. Finally, we discuss how generative models can help to link the developmental rule back to the tissue topologies. Our collection of results points at general mechanisms as to how local developmental rules can give rise to observed topological properties in multicellular systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.