Literature DB >> 11799986

Tissue as a self-organizing system with fractal dynamics.

P Waliszewski1, J Konarski.   

Abstract

Cell is a supramolecular dynamic network. Screening of tissue-specific cDNA library and results of Relative RT-PCR indicate that the relationship between genotype, (i.e., dynamic network of genes and their protein regulatory elements) and phenotype is non-bijective, and mendelian inheritance is a special case only. This implies non-linearity, complexity, and quasi-determinism, (i.e., co-existence of deterministic and non-deterministic events) of dynamic cellular network; prerequisite conditions for the existence of fractal structure. Indeed, the box counting method reveals that morphological patterns of the higher order, such as gland-like structures or populations of differentiating cancer cells possess fractal dimension and self-similarity. Since fractal space is not filled out randomly, a variety of morphological patterns of functional states arises. The expansion coefficient characterizes evolution of fractal dynamics. The coefficient indicates what kind of interactions occurs between cells, and how far from the limiting integer dimension of the Euclidean space the expanding population of cells is. We conclude that cellular phenomena occur in the fractal space; aggregation of cells is a supracollective phenomenon (expansion coefficient > 0), and differentiation is a collective one (expansion coefficient < 0). Fractal dimension or self-similarity are lost during tumor progression. The existence of fractal structure in a complex tissue system denotes that dynamic cellular phenomena generate an attractor with the appropriate organization of space-time. And vice versa, this attractor sets up physical limits for cellular phenomena during their interactions with various fields. This relationship can help to understand the emergence of extraterrestial forms of life. Although those forms can be composed of non-carbon molecules, fractal structure appears to be the common feature of all interactive biosystems. c2001 COSPAR. Published by Elsevier Science Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11799986     DOI: 10.1016/s0273-1177(01)00383-0

Source DB:  PubMed          Journal:  Adv Space Res        ISSN: 0273-1177            Impact factor:   2.152


  5 in total

1.  [Fractal geometry in the objective grading of prostate carcinoma].

Authors:  P Waliszewski; F Wagenlehner; S Gattenlöhner; W Weidner
Journal:  Urologe A       Date:  2014-08       Impact factor: 0.639

2.  Self-organization of developing embryo using scale-invariant approach.

Authors:  Ali Tiraihi; Mujtaba Tiraihi; Taki Tiraihi
Journal:  Theor Biol Med Model       Date:  2011-06-03       Impact factor: 2.432

3.  Morphostructural characterization of rice grain (Oryza sativa L.) variety Morelos A-98 during filling stages.

Authors:  Rosa Elena Espinosa-Mendoza; Javier Solorza-Feria; Martha Lucía Arenas-Ocampo; Brenda Hildeliza Camacho-Díaz; Alma Angélica Del Villar-Martínez; Pablo Emilio Vanegas-Espinoza; Antonio Ruperto Jiménez-Aparicio
Journal:  ScientificWorldJournal       Date:  2012-05-03

4.  The Quantitative Criteria Based on the Fractal Dimensions, Entropy, and Lacunarity for the Spatial Distribution of Cancer Cell Nuclei Enable Identification of Low or High Aggressive Prostate Carcinomas.

Authors:  Przemyslaw Waliszewski
Journal:  Front Physiol       Date:  2016-02-11       Impact factor: 4.566

Review 5.  Fractal dimension of chromatin: potential molecular diagnostic applications for cancer prognosis.

Authors:  Konradin Metze
Journal:  Expert Rev Mol Diagn       Date:  2013-09       Impact factor: 5.225

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.