Modeling Gene Regulation

Science's STKE  29 Mar 2005:
Vol. 2005, Issue 277, pp. tw121
DOI: 10.1126/stke.2772005tw121

Modeling gene regulation is a fundamental goal in systems biology (see the Perspective by Isaacs et al.). Rosenfeld et al. combine modeling with experiments in their analysis of gene networks. The quantitative function relating transcription factor concentration and gene factor production is termed the gene regulation function (GRF). Biochemical parameters, noise, and cellular states affect the GRF. Noise in gene expression results from fluctuations in factors such as mRNA and protein abundance and environmental conditions. Pedraza and van Oudenaarden now model and test networks in which gene interactions are controlled and quantified in single cells. Quantitation of noise propagation will assist in understanding the complex dynamics of gene networks in prokaryotic and eukaryotic systems and will assist in designing synthetic networks.

F. J. Isaacs, W. J. Blake, J. J. Collins, Signal processing in single cells. Science 307, 1886-1888 (2005). [Summary] [Full Text]

N. Rosenfeld, J. W. Young, U. Alon, P. S. Swain, M. B. Elowitz, Gene regulation at the single-cell level. Science 307, 1962-1965 (2005). [Abstract] [Full Text]

J. M. Pedraza, A. van Oudenaarden, Noise propagation in gene networks. Science 307, 1965-1969 (2005). [Abstract] [Full Text]