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Dynamics of cellular level function and regulation derived from murine expression array data. de Bivort B, Huang S, Bar-Yam Y. Proc Natl Acad Sci U S A. 2004 Dec 21;101(51)17687-17692.
In contrast to most experimental work investigating regulatory mechanisms in small networks of genes, Yaneer Bar-Yam at Harvard University and his co-authors chose a larger-scale study in an effort to observe the cumulative effects of all gene interactions in terms of cellular-level function. By organizing groups of genes into large groups with related behaviors, called megamodules, the authors were able to determine the effective aggregate regulatory influences among 12 major gene groups in murine B lymphocytes over a variety of time steps, as they write in the abstract.
Applying systems biology to humans and mice is typically slow and expensive, but Bar-Yam and his co-authors overcome cost and complexity issues by reducing complex data into smaller numbers of profiles and identifying the interactions between these profiles, says