Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 352, Issue 1, Pages 113-130Publisher
ELSEVIER
DOI: 10.1016/j.physa.2004.12.028
Keywords
computational biology; Cellular Potts Model; cell-oriented modeling; biological ontologics; developmental biology
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Explaining embryonic development of multicellular organisms requires insight into complex interactions between genetic regulation and physical, generic mechanisms at multiple scales. As more physicists move into developmental biology, we need to be aware of the cultural differences between the two fields, whose concepts of explanations and models traditionally differ: biologists aiming to identify genetic pathways and expression patterns, physicists tending to look for generic underlying principles. Here we discuss how we can combine such biological and physical approaches into a cell-centered approach to developmental biology. Genetic information can only indirectly influence the morphology and physiology of multicellular organisms. DNA translates into proteins and regulatory RNA sequences, which steer the biophysical properties of cells, their response to signals from neighboring cells, and the production and properties of extracellular matrix (ECM). We argue that in many aspects of biological development, cells' inner workings are irrelevant: what matter are the cell's biophysical properties, the signals it emits and its responses to extracellular signals. Thus we can separate questions about genetic regulation from questions about development. First, we ask what effects a gene network has on cell phenomenology, and how it operates. We then ask through which mechanisms such single-cell phenomenology directs multicellular morphogenesis and physiology. This approach treats the cell as the fundamental module of development. We discuss how this cell-centered approach-which requires significant input from computational biophysics-can assist and supplement experimental research in developmental biology. We review cell-centered approaches, focusing in particular on the Cellular Potts Model (CPM), and present the Tissue Simulation Toolkit which implements the CPM. (c) 2005 Elsevier B.V. All rights reserved.
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