Journal
MOLECULAR SYSTEMS BIOLOGY
Volume 5, Issue -, Pages -Publisher
WILEY
DOI: 10.1038/msb.2009.75
Keywords
gene regulatory networks; stochastic biological processes; system identification
Categories
Funding
- LANL LDRD
- NSF [ECCS-0835847, ECCS-0802008]
- US Army Research Office [DAAD19-03-D-0004]
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [0802008] Funding Source: National Science Foundation
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The cellular environment is abuzz with noise originating from the inherent random motion of reacting molecules in the living cell. In this noisy environment, clonal cell populations show cell-to-cell variability that can manifest significant phenotypic differences. Noise-induced stochastic fluctuations in cellular constituents can be measured and their statistics quantified. We show that these random fluctuations carry within them valuable information about the underlying genetic network. Far from being a nuisance, the ever-present cellular noise acts as a rich source of excitation that, when processed through a gene network, carries its distinctive fingerprint that encodes a wealth of information about that network. We show that in some cases the analysis of these random fluctuations enables the full identification of network parameters, including those that may otherwise be difficult to measure. This establishes a potentially powerful approach for the identification of gene networks and offers a new window into the workings of these networks. Molecular Systems Biology 5: 318; published online 13 October 2009; doi:10.1038/msb.2009.75
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