ArticleScientific reports2016
Principles of dynamical modularity in biological regulatory networks.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Canalization as a stabilizing principle of gene regulatory networks: a discrete dynamical systems perspective.NPJ systems biology and applications · 2026Review
- A Boolean network model of hypoxia, mechanosensing and TGF-β signaling captures the role of phenotypic plasticity and mutations in tumor metastasis.PLoS computational biology · 2025Article
- Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks.iScience · 2025Article
- Unlocking mitochondrial dysfunction-associated senescence (MiDAS) with NADTranslational oncology · 2024Article
- A network-based modeling framework reveals the core signal transduction network underlying high carbon dioxide-induced stomatal closure in guard cells.PLoS biology · 2024Article
- Modularity of biological systems: a link between structure and function.Journal of the Royal Society, Interface · 2023Article
- Modularity of biological systems: a link between structure and function.bioRxiv : the preprint server for biology · 2023Article
- Boolean modeling of mechanosensitive epithelial to mesenchymal transition and its reversal.iScience · 2023Article
- Probabilistic edge weights fine-tune Boolean network dynamics.PLoS computational biology · 2022Article
- Parity and time reversal elucidate both decision-making in empirical models and attractor scaling in critical Boolean networks.Science advances · 2021Article
- A Novel Measure Inspired by Lyapunov Exponents for the Characterization of Dynamics in State-Transition Networks.Entropy (Basel, Switzerland) · 2021Article
- Boolean model of anchorage dependence and contact inhibition points to coordinated inhibition but semi-independent induction of proliferation and migration.Computational and structural biotechnology journal · 2020Article
- The Causal Closure of Physics in Real World Contexts.Foundations of physics · 2020Article
- A feedback loop of conditionally stable circuits drives the cell cycle from checkpoint to checkpoint.Scientific reports · 2019Article
- Disease classification via gene network integrating modules and pathways.Royal Society open science · 2019Article
- Gene Saturation: An Approach to Assess Exploration Stage of Gene Interaction Networks.Scientific reports · 2019Article
- Boolean model of growth signaling, cell cycle and apoptosis predicts the molecular mechanism of aberrant cell cycle progression driven by hyperactive PI3K.PLoS computational biology · 2019Article
- The CD4+ T cell regulatory network mediates inflammatory responses during acute hyperinsulinemia: a simulation study.BMC systems biology · 2017Article
- Analysis of a dynamic model of guard cell signaling reveals the stability of signal propagation.BMC systems biology · 2016Article
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Authors and funding
4 authors.
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Abstract
Intractable diseases such as cancer are associated with breakdown in multiple individual functions, which conspire to create unhealthy phenotype-combinations. An important challenge is to decipher how these functions are coordinated in health and disease. We approach this by drawing on dynamical systems theory. We posit that distinct phenotype-combinations are generated by interactions among robust regulatory switches, each in control of a discrete set of phenotypic outcomes. First, we demonstrate the advantage of characterizing multi-switch regulatory systems in terms of their constituent switches by building a multiswitch cell cycle model which points to novel, testable interactions critical for early G2/M commitment to division. Second, we define quantitative measures of dynamical modularity, namely that global cell states are discrete combinations of switch-level phenotypes. Finally, we formulate three general principles that govern the way coupled switches coordinate their function.
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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.