ArticlePLoS computational biology2018
Epigenetic regulation of cell fate reprogramming in aging and disease: A predictive computational model.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Characterising Epigenetic Tipping Points using a Spectral Dimension Reduction Approach.Bulletin of mathematical biology · 2026Article
- Role of frustrations in cell reprogramming.PNAS nexus · 2025Article
- Epigenetics, Resilience, Protective Factors and Factors Promoting Positive Outcomes: A Scoping Review.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2025Article
- The transcriptional regulators GATA6 and TET1 regulate the TGF-β pathway in cancer-associated fibroblasts to promote breast cancer progression.Cell death discovery · 2025Article
- DNA methylation in cell plasticity and malignant transformation in liver diseases.Pharmacology & therapeutics · 2023Review
- Dynamical modeling of the H3K27 epigenetic landscape in mouse embryonic stem cells.PLoS computational biology · 2022Article
- NETISCE: a network-based tool for cell fate reprogramming.NPJ systems biology and applications · 2022Article
- Article
- Bivalent chromatin as a therapeutic target in cancer: An in silico predictive approach for combining epigenetic drugs.PLoS computational biology · 2021Article
- A computer-guided design tool to increase the efficiency of cellular conversions.Nature communications · 2021Article
- State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Development of Acute Myeloid Leukemia.Cancer research · 2020Article
- Metformin: Sentinel of the Epigenetic Landscapes That Underlie Cell Fate and Identity.Biomolecules · 2020Review
- Article
- Article
- A multiscale model of epigenetic heterogeneity-driven cell fate decision-making.PLoS computational biology · 2019Article
- Somatic Embryogenesis Induction in Woody Species: The Future After OMICs Data Assessment.Frontiers in plant science · 2019Review
- Mitostemness.Cell cycle (Georgetown, Tex.) · 2018Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the control of epigenetic regulation is key to explain and modify the aging process. Because histone-modifying enzymes are sensitive to shifts in availability of cofactors (e.g. metabolites), cellular epigenetic states may be tied to changing conditions associated with cofactor variability. The aim of this study is to analyse the relationships between cofactor fluctuations, epigenetic landscapes, and cell state transitions. Using Approximate Bayesian Computation, we generate an ensemble of epigenetic regulation (ER) systems whose heterogeneity reflects variability in cofactor pools used by histone modifiers. The heterogeneity of epigenetic metabolites, which operates as regulator of the kinetic parameters promoting/preventing histone modifications, stochastically drives phenotypic variability. The ensemble of ER configurations reveals the occurrence of distinct epi-states within the ensemble. Whereas resilient states maintain large epigenetic barriers refractory to reprogramming cellular identity, plastic states lower these barriers, and increase the sensitivity to reprogramming. Moreover, fine-tuning of cofactor levels redirects plastic epigenetic states to re-enter epigenetic resilience, and vice versa. Our ensemble model agrees with a model of metabolism-responsive loss of epigenetic resilience as a cellular aging mechanism. Our findings support the notion that cellular aging, and its reversal, might result from stochastic translation of metabolic inputs into resilient/plastic cell states via ER systems.
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Registered trials
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