Matematicheskaya Biologiya i Bioinformatika
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Mat. Biolog. Bioinform.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Matematicheskaya Biologiya i Bioinformatika, 2020, Volume 15, Issue 2, Pages 251–267
DOI: https://doi.org/10.17537/2020.15.251
(Mi mbb434)
 

This article is cited in 2 scientific papers (total in 2 papers)

Mathematical Modeling

DNA transformation, cell epigenetic landscape and open complex dynamics in cancer development

O. B. Neumarka, Yu. V. Bayandina, Yu. A. Beloglazovab, O. N. Gagarskichb, V. V. Grishkob, A. S. Nikityuka, A. O. Voroninab

a Institute of Continuous Media Mechanics, Ural Branch of RAS, Perm, Russia
b Institute of technical Chemistry of Ural branch RAS, Perm, Russia
References:
Abstract: Statistical thermodynamics allowed the formulation of mesoscopic approach of DNA transformation in course of the excitation of collective distortion modes (denaturation bubbles) associated with hydrogen bond breaking between the base pairs. Intermediate (non-continual limit) of DNA modeling (the Peyrard –Bishop model) is combined with the field description (generalized Ginzburg –Landau approach) to analyze the dynamics of collective open complex modes associated with mesodefects in the DNA ensemble. Collective modes dynamics describes different scenario of gene expression according to statistically predicted form of out-of-equilibrium potential (epigenetic landscape) reflecting specific type criticality of “soft matter” with mesodefects (open complexes) – the structural-scaling transition. Principal difference of thermodynamics of non-continual and continual models is thermalization conditions related to thermal fluctuations responsible for the DNA breathing (localized excitation with breather dynamics) and structural-scaling parameter responsible for spinodal decomposition of out-of-equilibrium potential metastability due to generation of open complex collective modes. Open complex collective modes have the nature of self-similar solutions (breathers, auto-solitary and blow-up modes) of open complex evolution equation accounting qualitative different types of potential metastabilities. Sub-sets of collective modes represent the phase variables of attractors associated with different scenario of expression dynamics, which allows the interpretation of multistability of the epigenetic landscape and the Huang diagram of gene expression. It was shown different epigenetic pathway in attractors phase space corresponding to normal and cancer expression scenario. These scenarios were supported by laser interference microscopy of living normal and cancer cells illustrating multi- and monofractal dynamics.
Key words: open complex dynamics, criticality, epigenetics, laser microscopy, normal and cancer cells.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation RFMEFI60718X0202
The work was financially supported by the Russian Federation via the Ministry of Science and Higher Education of the Russian Federation (project identifier RFMEFI60718X0202).
Received 19.08.2020, 05.10.2020, Published 11.11.2020
Document Type: Article
Language: English
Citation: O. B. Neumark, Yu. V. Bayandin, Yu. A. Beloglazova, O. N. Gagarskich, V. V. Grishko, A. S. Nikityuk, A. O. Voronina, “DNA transformation, cell epigenetic landscape and open complex dynamics in cancer development”, Mat. Biolog. Bioinform., 15:2 (2020), 251–267
Citation in format AMSBIB
\Bibitem{NeuBayBel20}
\by O.~B.~Neumark, Yu.~V.~Bayandin, Yu.~A.~Beloglazova, O.~N.~Gagarskich, V.~V.~Grishko, A.~S.~Nikityuk, A.~O.~Voronina
\paper DNA transformation, cell epigenetic landscape and open complex dynamics in cancer development
\jour Mat. Biolog. Bioinform.
\yr 2020
\vol 15
\issue 2
\pages 251--267
\mathnet{http://mi.mathnet.ru/mbb434}
\crossref{https://doi.org/10.17537/2020.15.251}
Linking options:
  • https://www.mathnet.ru/eng/mbb434
  • https://www.mathnet.ru/eng/mbb/v15/i2/p251
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Statistics & downloads:
    Abstract page:114
    Full-text PDF :44
    References:13
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024