ReviewDevelopment (Cambridge, England)2025
From genes to patterns: five key dynamical systems concepts to decode developmental regulatory mechanisms.
Review in Development (Cambridge, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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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Who cites it
6 citing papers in PubMed.
- Time-dependent bistability leads to critical slowing down during floral transition in Arabidopsis.Nature communications · 2026Article
- Decoding cellular population dynamics through mechanistic modelling and statistical data analysis.NPJ systems biology and applications · 2026Review
- Cell cycle oscillations in a polarity network facilitate state switching by morphogenetic cues.Science advances · 2026Article
- Modeling of gene regulatory networks: an annotated glossary.Trends in plant science · 2026Review
- Developmental Biology: Computational and Experimental Approaches-2nd Edition.International journal of molecular sciences · 2026Article
- A common pathway controls cell size in the sepal and leaf epidermis leading to a nonrandom pattern of giant cells.PLoS biology · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Developmental biology seeks to unravel the intricate regulatory mechanisms orchestrating the transformation of a single cell into a complex, multicellular organism. Dynamical systems theory provides a powerful quantitative, visual and intuitive framework for understanding this complexity. This Primer examines five core dynamical systems theory concepts and their applications to pattern formation during development: (1) analysis of phase portraits, (2) bistable switches, (3) stochasticity, (4) response to time-dependent signals, and (5) oscillations. We explore how these concepts shed light onto cell fate decision making and provide insights into the dynamic nature of developmental processes driven by signals and gradients, as well as the role of noise in shaping developmental outcomes. Selected examples highlight how integrating dynamical systems with experimental approaches has significantly advanced our understanding of the regulatory logic underlying development across scales, from molecular networks to tissue-level dynamics.
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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.