ReviewNature biotechnology2026
Decoding the origins of cellular self-organization for engineered biology.
Review in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
The trial behind it
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
Cellular self-organization reflects an evolutionary leap in which multicellular coordination became essential. Driven by fundamental constraints like oxygen and nutrient transport, physical laws generate inevitable collective behaviors such as cavitation, folding and branching. These behaviors couple mechanics, signaling and gene regulation to build tissues and organs with spatiotemporal precision through the iterative layering of simple rules. Stem cell-based models of embryogenesis and organogenesis make these principles experimentally tractable, revealing canonical developmental routes and alternative trajectories and failure modes that expose bottlenecks and constraints. In this Perspective, we trace self-organization from evolutionary origins to biophysical inevitability and discuss how emerging tools in stem cell biology and bioengineering are beginning to translate these insights into regenerative strategies. Decoding the rules of morphogenesis will open possibilities to reimagine, simulate and rationally engineer the architecture of living tissues.
Indexed as
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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.