Queueing up for enzymatic processing: correlated signaling through coupled degradation
N. A. Cookson, W. H. Mather, T. Danino, O. Mondragon-Palomino, R. J. Williams, L. S. Tsimring
and J. Hasty.
High-throughput technologies have led to the generation of complex wiring diagrams as a post-sequencing
paradigm for depicting the interactions between vast and
diverse cellular species. While these diagrams are useful for analyzing biological systems on a large scale, a
detailed understanding of the molecular mechanisms that underlie the observed network connections is
critical for the further development of systems and synthetic biology.
Here, we use queueing theory to investigate how waiting lines can lead to correlations between
protein customers that are coupled solely through a downstream set of enzymatic
servers. Using the E. coli ClpXP degradation machine as a model processing system, we observe
significant cross-talk between two networks that are indirectly coupled through a common set of processors.
We further illustrate the implications of enzymatic queueing using a synthetic biology application, in which two
independent synthetic networks demonstrate synchronized behavior when common ClpXP machinery is overburdened.
Our results demonstrate that such post-translational processes can lead to dynamic connections
in cellular networks and may provide a mechanistic understanding of existing but currently inexplicable links.
Molecular Systems Biology 7, Article number 561, doi:10.1038/msb.2011.94.
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Last updated: December 20, 2011.