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, 2014, Volume 9, Issue 2, Pages 504–517 (Mi mbb185)  

Mathematical Modeling

Modeling of Regulatory Mechanisms for mESC Self-Renewal: Kinetic and Stochastic Approaches

I. R. Akberdina, N. V. Ivanisenkoa, F. V. Kazantseva, E. A. Oschepkovaa, N. A. Omelyanchuka, Yu. G. Matushkinba, D. A. Afonnikovba

a Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
References:
Abstract: Analysis of the kinetic and stochastic models describing the dynamics of the core gene network for maintenance of pluripotency and differentiation of embryonic stem cells is represented. The core gene network was modified according to the latest experimental data on the regulation of Nanog expression. Analysis of the kinetic model showed that in the dynamics of the concentration changes as Nanog mRNA and protein could potentially exist oscillating mode, which may explains the experimentally observed Nanog heterogeneity in stem cell populations. Stochastic approach, in turn, allowed us to reveal a range of parameters, in which there are two possible system states as the result of stochastic fluctuations: the high and low levels of expression of Oct4, Sox2 and Nanog. It is possible to accidentally switch from one state to another that may also be one of the mechanisms of the Nanog heterogeneity.
Key words: pluripotency, differentiation, gene expression, Nanog heterogeneity, mathematical modeling.
Received 15.10.2014, Published 16.12.2014
Document Type: Article
UDC: 57.032:573.22
Language: Russian
Citation: I. R. Akberdin, N. V. Ivanisenko, F. V. Kazantsev, E. A. Oschepkova, N. A. Omelyanchuk, Yu. G. Matushkin, D. A. Afonnikov, “Modeling of Regulatory Mechanisms for mESC Self-Renewal: Kinetic and Stochastic Approaches”, Mat. Biolog. Bioinform., 9:2 (2014), 504–517
Citation in format AMSBIB
\Bibitem{AkbIvaKaz14}
\by I.~R.~Akberdin, N.~V.~Ivanisenko, F.~V.~Kazantsev, E.~A.~Oschepkova, N.~A.~Omelyanchuk, Yu.~G.~Matushkin, D.~A.~Afonnikov
\paper Modeling of Regulatory Mechanisms for mESC Self-Renewal: Kinetic and Stochastic Approaches
\jour Mat. Biolog. Bioinform.
\yr 2014
\vol 9
\issue 2
\pages 504--517
\mathnet{http://mi.mathnet.ru/mbb185}
Linking options:
  • https://www.mathnet.ru/eng/mbb185
  • https://www.mathnet.ru/eng/mbb/v9/i2/p504
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Statistics & downloads:
    Abstract page:332
    Full-text PDF :96
    References:48
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024