Evidence map›Paper›PMID 42225946›Full record

ReviewNature biotechnology2026

Decoding the origins of cellular self-organization for engineered biology.

Qi Chen, Magdalena Zernicka-Goetz

Abstract readReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Qi ChenMolecular Medicine Program, Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA. qi.chen@hsc.utah.edu.ORCID http://orcid.org/0000-0001-6353-9589
Magdalena Zernicka-GoetzDevelopmental Plasticity and Self-Organization Group, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA. magdaz@caltech.edu.ORCID http://orcid.org/0000-0002-7004-2471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

BioengineeringTissue EngineeringAnimalsHumansModels, BiologicalMorphogenesisStem Cells

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.