ReviewJournal of the Royal Society, Interface2017
Processes on the emergent landscapes of biochemical reaction networks and heterogeneous cell population dynamics: differentiation in living matters.
Review in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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.
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Who cites it
14 citing papers in PubMed.
- Dynamic Landscape Analysis of cell fate decisions provides predictive models of neural development from single-cell data.PLoS biology · 2026Article
- Article
- Spatial transition tensor of single cells.Nature methods · 2024Article
- Dynamical landscapes of cell fate decisions.Interface focus · 2022Review
- Towards the First Principles in Biology and Cancer: New Vistas in Computational Systems Biology of Cancer.Life (Basel, Switzerland) · 2021Review
- Physics-informed deep learning characterizes morphodynamics of Asian soybean rust disease.Nature communications · 2021Article
- Novel generic models for differentiating stem cells reveal oscillatory mechanisms.Journal of the Royal Society, Interface · 2021Article
- Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics.Nature communications · 2021Article
- Evolution of opposing regulatory interactions underlies the emergence of eukaryotic cell cycle checkpoints.Scientific reports · 2021Article
- Cell plasticity in cancer cell populations.F1000Research · 2020Review
- Dynamics of living cells in a cytomorphological state space.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Haematopoietic stem cells: entropic landscapes of differentiation.Interface focus · 2018Article
- Transition state characteristics during cell differentiation.PLoS computational biology · 2018Article
- A landscape view on the interplay between EMT and cancer metastasis.NPJ systems biology and applications · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The notion of an attractor has been widely employed in thinking about the nonlinear dynamics of organisms and biological phenomena as systems and as processes. The notion of a landscape with valleys and mountains encoding multiple attractors, however, has a rigorous foundation only for closed, thermodynamically non-driven, chemical systems, such as a protein. Recent advances in the theory of nonlinear stochastic dynamical systems and its applications to mesoscopic reaction networks, one reaction at a time, have provided a new basis for a landscape of open, driven biochemical reaction systems under sustained chemostat. The theory is equally applicable not only to intracellular dynamics of biochemical regulatory networks within an individual cell but also to tissue dynamics of heterogeneous interacting cell populations. The landscape for an individual cell, applicable to a population of isogenic non-interacting cells under the same environmental conditions, is defined on the counting space of intracellular chemical compositions
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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.