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Critical Reviews™ in Biomedical Engineering

Published 6 issues per year

ISSN Print: 0278-940X

ISSN Online: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

Indexed in

Multiscale Modeling of Cellular Epigenetic States: Stochasticity in Molecular Networks, Chromatin Folding in Cell Nuclei, and Tissue Pattern Formation of Cells

Volume 43, Issue 4, 2015, pp. 323-346
DOI: 10.1615/CritRevBiomedEng.2016016559
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ABSTRACT

Genome sequences provide the overall genetic blueprint of cells, but cells possessing the same genome can exhibit diverse phenotypes. There is a multitude of mechanisms controlling cellular epigenetic states and that dictate the behavior of cells. Among these, networks of interacting molecules, often under stochastic control, depending on the specific wirings of molecular components and the physiological conditions, can have a different landscape of cellular states. In addition, chromosome folding in three-dimensional space provides another important control mechanism for selective activation and repression of gene expression. Fully differentiated cells with different properties grow, divide, and interact through mechanical forces and communicate through signal transduction, resulting in the formation of complex tissue patterns. Developing quantitative models to study these multi-scale phenomena and to identify opportunities for improving human health requires development of theoretical models, algorithms, and computational tools. Here we review recent progress made in these important directions.

CITED BY
  1. Ma Chihua, Luciani Timothy, Terebus Anna, Liang Jie, Marai G. Elisabeta, PRODIGEN: visualizing the probability landscape of stochastic gene regulatory networks in state and time space, BMC Bioinformatics, 18, S2, 2017. Crossref

  2. Eldred Kiara C., Avelis Cameron, Johnston Robert J., Roberts Elijah, Mendes Pedro, Modeling binary and graded cone cell fate patterning in the mouse retina, PLOS Computational Biology, 16, 3, 2020. Crossref

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