ReviewInterface focus2022
Dynamical landscapes of cell fate decisions.
Review in Interface focus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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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
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systemic Alterations of Cancer Cells and Their Boost by Polyploidization: Unicellular Attractor (UCA) Model.International journal of molecular sciences · 2023Pooled it
- Unlocking the full potential of spatial omics in plants: practical challenges, solutions, and a path forward.The Plant cell · 2026Review
- Understanding development and cellular plasticity in the pancreas in health and disease.Nature reviews. Gastroenterology & hepatology · 2026Review
- Time-dependent bistability leads to critical slowing down during floral transition in Arabidopsis.Nature communications · 2026Article
- Dynamic Landscape Analysis of cell fate decisions provides predictive models of neural development from single-cell data.PLoS biology · 2026Article
- AbioRxiv : the preprint server for biology · 2026Article
- Gene regulatory networks: from correlative models to causal explanations.Nature reviews. Genetics · 2026Review
- 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
- Excitatory neurons and astrocytes-specific dysregulation and aberrant interactions are vulnerable to FCDI as suggested by single-cell spatial transcriptomics.Clinical and translational medicine · 2026Article
- Signals and the shape of developmental landscapes.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Generative epigenetic landscapes map the topology and topography of cell fates.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Towards a mathematical framework for modelling cell fate dynamics.Journal of mathematical biology · 2025Article
- Emergent dynamics of cellular decision making in multi-node mutually repressive regulatory networks.Journal of the Royal Society, Interface · 2025Article
- Dynamical systems of fate and form in development.Seminars in cell & developmental biology · 2025Review
- Dynamical model and geometric insights in the discontinuity theory of immunity.bioRxiv : the preprint server for biology · 2025Article
- Distinct gene regulatory dynamics drive skeletogenic cell fate convergence during vertebrate embryogenesis.Nature communications · 2025Article
- Gene regulatory network inference during cell fate decisions by perturbation strategies.NPJ systems biology and applications · 2025Article
- The end of the genetic paradigm of cancer.PLoS biology · 2025Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The generation of cellular diversity during development involves differentiating cells transitioning between discrete cell states. In the 1940s, the developmental biologist Conrad Waddington introduced a landscape metaphor to describe this process. The developmental path of a cell was pictured as a ball rolling through a terrain of branching valleys with cell fate decisions represented by the branch points at which the ball decides between one of two available valleys. Here we discuss progress in constructing quantitative dynamical models inspired by this view of cellular differentiation. We describe a framework based on catastrophe theory and dynamical systems methods that provides the foundations for quantitative geometric models of cellular differentiation. These models can be fit to experimental data and used to make quantitative predictions about cellular differentiation. The theory indicates that cell fate decisions can be described by a small number of decision structures, such that there are only two distinct ways in which cells make a binary choice between one of two fates. We discuss the biological relevance of these mechanisms and suggest the approach is broadly applicable for the quantitative analysis of differentiation dynamics and for determining principles of developmental decisions.
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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.