ArticleeLife2020
Geometric models for robust encoding of dynamical information into embryonic patterns.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- Parameter-free representations outperform single-cell foundation models on downstream benchmarks.ArXiv · 2026Article
- Parameter-free representations outperform single-cell foundation models on downstream benchmarks.bioRxiv : the preprint server for biology · 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
- 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
- From genes to patterns: a framework for modeling the emergence of embryonic development from transcriptional regulation.Frontiers in cell and developmental biology · 2025Article
- Nonreciprocal synchronization in embryonic oscillator ensembles.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The Clock and Wavefront Self-Organizing model recreates the dynamics of mouse somitogenesis in vivo and in vitro.Development (Cambridge, England) · 2024Article
- Ripply suppresses Tbx6 to induce dynamic-to-static conversion in somite segmentation.Nature communications · 2023Article
- Arnold tongue entrainment reveals dynamical principles of the embryonic segmentation clock.eLife · 2022Article
- Latent space of a small genetic network: Geometry of dynamics and information.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Waves in Embryonic Development.Annual review of biophysics · 2022Review
- Nonmodular oscillator and switch based on RNA decay drive regeneration of multimodal gene expression.Nucleic acids research · 2022Article
- Patterning with clocks and genetic cascades: Segmentation and regionalization of vertebrate versus insect body plans.PLoS genetics · 2021Review
- Novel generic models for differentiating stem cells reveal oscillatory mechanisms.Journal of the Royal Society, Interface · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
During development, cells gradually assume specialized fates via changes of transcriptional dynamics, sometimes even within the same developmental stage. For anterior-posterior (AP) patterning in metazoans, it has been suggested that the gradual transition from a dynamic genetic regime to a static one is encoded by different transcriptional modules. In that case, the static regime has an essential role in pattern formation in addition to its maintenance function. In this work, we introduce a geometric approach to study such transition. We exhibit two types of genetic regime transitions arising through local or global bifurcations, respectively. We find that the global bifurcation type is more generic, more robust, and better preserves dynamical information. This could parsimoniously explain common features of metazoan segmentation, such as changes of periods leading to waves of gene expressions, 'speed/frequency-gradient' dynamics, and changes of wave patterns. Geometric approaches appear as possible alternatives to gene regulatory networks to understand development.
Indexed as
Identifiers
What OpenQuestion holds
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.