A Gene Network Model for Developing Cell Lineages

Geard, Nicholas and Wiles, Janet (2005) A Gene Network Model for Developing Cell Lineages. Artificial Life, 11 3: 249-267. doi:10.1162/1064546054407202

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Author Geard, Nicholas
Wiles, Janet
Title A Gene Network Model for Developing Cell Lineages
Journal name Artificial Life   Check publisher's open access policy
ISSN 1064-5462
Publication date 2005-01-01
Sub-type Article (original research)
DOI 10.1162/1064546054407202
Open Access Status File (Publisher version)
Volume 11
Issue 3
Start page 249
End page 267
Total pages 19
Editor M.A. Bedau
Place of publication Cambridge, MA, United States
Publisher MIT Press
Language eng
Abstract Biological development is a remarkably complex process. A single cell, in an appropriate environment, contains sufficient information to generate a variety of differentiated cell types, whose spatial and temporal dynamics interact to form detailed morphological patterns. While several different physical and chemical processes play an important role in the development of an organism, the locus of control is the cell's gene regulatory network. We designed a dynamic recurrent gene network (DRGN) model and evaluated its ability to control the developmental trajectories of cells during embryogenesis. Three tasks were developed to evaluate the model, inspired by cell lineage specification in C. elegans, describing the variation in gene activity required for early cell diversification, combinatorial control of cell lineages and cell lineage termination. Three corresponding sets of simulations compared performance on the tasks for different gene network sizes, demonstrating the ability of DRGNs to perform the tasks with minimal external input. The model and task definition represent a new means of linking the fundamental properties of genetic networks with the topology of the cell lineages whose development they control.
Keyword Gene regulation
Cell lineage
Recurrent network
Q-Index Code C1

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Citation counts: TR Web of Science Citation Count  Cited 19 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 27 times in Scopus Article | Citations
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Created: Mon, 21 Mar 2005, 10:00:00 EST by Nicholas Geard on behalf of School of Information Technol and Elec Engineering