Chromosome progression and mitotic times behavior are mimicked by an stochastic unstable dynamics

Juan Luis Cabrera Fernández, Gioconda C. Herrera-Almarza and Esther D. Gutiérrez M.

Physica A: Statistical Mechanics and its Applications, 2018, vol. 512, issue C, 1121-1127

Abstract: Mitosis is one of the most important processes of living matter. In this paper we analyze the consequences of assuming mitosis as being dictated by an unstable dynamics grounded in an antagonist genetic circuit. Based on this approach main characteristics of chromosome movement behavior in different mitotic stages can be mimicked. We describe the statistical variability of mitotic progression times – an aspect unvisited in previous studies – and find a remarkable relationship between mitosis times, both in healthy and malignant eukaryotic cells. We propose a tentative methodological approach to reconstruct the mitotic dynamical attractor.

Keywords: Mitosis; Chromosome movement; Unstable stochastic dynamics; Complex systems; Biomathematics (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437118310823
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:512:y:2018:i:c:p:1121-1127

DOI: 10.1016/j.physa.2018.08.139

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().