ReviewTrends in cell biology2026
Optimality as a framework for understanding developmental robustness.
Review in Trends in cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
3 authors.
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Abstract
Embryo growth, morphogenesis, and patterning are complex processes that coordinate between cellular dynamics, fate specification, and multiscale physical forces. Understanding how robustness in embryo development is achieved despite inherent heterogeneities in gene expression, cell properties, and tissue growth is a fundamental question. Although various feedback between gene expression, signaling, and cell and tissue mechanics have been uncovered to confer robustness on developmental systems, measuring variability and robustness from a quantitative perspective often remains challenging. Furthermore, cell fate plasticity, a key mechanism that can confer robustness, is lacking in many developing tissues. This review highlights how recent technological and conceptual advances in quantitative approaches to biology help to overcome these bottlenecks, with a particular focus on how mechanochemical feedback, or alternatively, selectively tuned control parameters, ensure developmental robustness.
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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.