Manipulation with heterogeneity within a species population formulated as an inverse problem

Horváth, Denis; Brutovsky, B.; Kocisová, J; Šprinc, S.

doi:10.1016/j.physa.2010.07.015

Cited by 2 publications

(3 citation statements)

References 33 publications

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“…The entropic variable constraints imposed on the heterogeneity were studied in [48]. In [49], the elimination of heterogeneity in the system of replicating entities was conceived as an inverse problem, with an eventual potential in therapeutical applications. Before going into details, we highlight three salient features of the model: (i) periodicity of the (micro)environmental variations; (ii) substantial genetic diversity underlying the switching rates between isogenic phenotypes (phenotypic states); (iii) competition between the clones adopting either reversible or irreversible phenotype switching under the constraint of constant total cell population size.…”

Section: Quasispecies Model Of Phenotypic Changesmentioning

confidence: 99%

“…Both S EPI G and S G measures can be constructed regarding often used analogy between probability and occupancy fraction [49].…”

Section: Entropy Measures Of Heterogeneitymentioning

confidence: 99%

Section: Quasispecies Model Of Phenotypic Changesmentioning

confidence: 99%

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Toward understanding of the role of reversibility of phenotypic switching in the evolution of resistance to therapy

Horváth

Brutovsky

2018

Physics Letters A

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Reversibility of state transitions is intensively studied topic in many scientific disciplines over many years. In cell biology, it plays an important role in epigenetic variation of phenotypes, known as phenotypic plasticity. More interestingly, the cell state reversibility is probably crucial in the adaptation of population phenotypic heterogeneity to environmental fluctuations by evolving bet-hedging strategy, which might confer to cancer cells resistance to therapy. In this article, we propose a formalization of the evolution of highly reversible states in the environments of periodic variability. Two interrelated models of heterogeneous cell populations are proposed and their behavior is studied. The first model captures selection dynamics of the cell clones for the respective levels of phenotypic reversibility. The second model focuses on the interplay between reversibility and drug resistance in the particular case of cancer. Overall, our results show that the threshold dependencies are emergent features of the investigated model with eventual therapeutic relevance. Presented examples demonstrate importance of taking into account cell to cell heterogeneity within a system of clones with different reversibility quantified by appropriately chosen genetic and epigenetic entropy measures.

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Section: Quasispecies Model Of Phenotypic Changesmentioning

confidence: 99%

“…Both S EPI G and S G measures can be constructed regarding often used analogy between probability and occupancy fraction [49].…”

Section: Entropy Measures Of Heterogeneitymentioning

confidence: 99%

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Toward understanding of the role of reversibility of phenotypic switching in the evolution of resistance to therapy

Horváth

Brutovsky

2018

Physics Letters A

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The policy-dependent statistics and induced heterogeneity of the supported agents on the inter and intra company levels

Horváth

Maliková

Lučkaničová³

2015

Int. J. Mod. Phys. C

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We present a simulation model of the technological innovations based on the former Guardiola's concept which relies on the notion of technological barriers. The central, novel feature of our proposal is the assumption that barriers can be reduced allowing public support to R&D. However, this can be applied under the different policies. The statistical treatment of the simulation results demonstrated that support of the elitist (super-threshold) innovating units yields higher innovation rate, but more profound variation of the technological levels. On the other hand, the favoring of innovators with sub-threshold technological levels may lead to the more integrated technological world. Simultaneously, we use the same model to study the effects of supporting knowledge sharing (that is to say, lowering sharing barriers) on average organizational knowledge. An interesting aspect of the model represents self-organized adjustment of the probabilistic parameters related to the social linkages.

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Manipulation with heterogeneity within a species population formulated as an inverse problem

Cited by 2 publications

References 33 publications

Toward understanding of the role of reversibility of phenotypic switching in the evolution of resistance to therapy

Toward understanding of the role of reversibility of phenotypic switching in the evolution of resistance to therapy

The policy-dependent statistics and induced heterogeneity of the supported agents on the inter and intra company levels

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