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1.
IET Syst Biol ; 4(6): 393-408, 2010 Nov.
Article in English | MEDLINE | ID: mdl-21073238

ABSTRACT

The dynamical properties of distal and proximal gene regulatory elements are crucial to their functionality in gene regulatory networks. However, the multiplicity of regulatory interactions at control elements makes their theoretical and experimental characterisation difficult. Here a thermodynamic framework to describe gene regulation by distant enhancers via a chromatin mechanism is developed. In this mechanism transcription factors (TFs) modulate gene expression via shifts in the equilibrium between chromatin states. The designs of AND, OR, XOR and NAND two-input transcriptional gates for the chromatin mechanism are proposed and compared to similar gates based on the direct physical interactions of TFs with the transcriptional machinery. An algorithm is developed to estimate the thermodynamic parameters of chromatin mechanism gates from gene expression reporter data and applied to characterise the response function for the Gata2-3 enhancer in hematopoietic stem cells. In addition waiting-time distributions for transcriptionally active states were analysed to expose the biophysical differences between the contact and chromatin mechanisms. These differences can be experimentally observed in single-cell experiments and therefore can serve as a signature of the gene regulation mechanism. Taken together these results indicate the diverse functionality and unique features of the chromatin mechanism of combinatorial gene regulation.


Subject(s)
Enhancer Elements, Genetic , Gene Expression Regulation , Models, Genetic , Systems Biology/methods , Transcription, Genetic/genetics , Algorithms , Chromatin/chemistry , Chromatin/genetics , Chromatin/metabolism , Kinetics , Protein Binding , Stochastic Processes , Thermodynamics , Transcription Factors/metabolism
2.
Proc Natl Acad Sci U S A ; 98(26): 14913-8, 2001 Dec 18.
Article in English | MEDLINE | ID: mdl-11752439

ABSTRACT

Recent experiments have provided new quantitative measurements of the rippling phenomenon in fields of developing myxobacteria cells. These measurements have enabled us to develop a mathematical model for the ripple phenomenon on the basis of the biochemistry of the C-signaling system, whereby individuals signal by direct cell contact. The model quantitatively reproduces all of the experimental observations and illustrates how intracellular dynamics, contact-mediated intercellular communication, and cell motility can coordinate to produce collective behavior. This pattern of waves is qualitatively different from that observed in other social organisms, especially Dictyostelium discoideum, which depend on diffusible morphogens.


Subject(s)
Models, Biological , Myxococcus xanthus/physiology , Signal Transduction
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