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| Masa Tsuchiya; Vincent Piras; Masaru Tomita; Alessandro Giuliani; Kumar Selvarajoo. |
| Cells remarkably take a specific differentiation path among the multiple possibilities that can arise through the multi-dimensional regulation of genome activities. Such deterministic processes suggest the existence of cellular attractors. However, the origins and drivers of the attractors still remain elusive. Here we analyzed the temporal neutrophil differentiation microarray data for two different stimuli, dimethyl sulfoxide (DMSO) and all-trans-retinoic acid (atRA), and expressed their collective dynamics by temporal Pearson correlation and mutual information coordinates. We constructed ensemble of the genes which showed reduction of correlation fluctuations following the inverse square root law. Evaluating their temporal probability density... |
| Tipo: Manuscript |
Palavras-chave: Molecular Cell Biology; Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/4401/version/1 |
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| Satya N. V. Arjunan; Masaru Tomita. |
| Many important cellular processes are regulated by reaction-diffusion (RD) of molecules that takes place both in the cytoplasm and on the membrane. To model and analyze such multicompartmental processes, we developed a lattice-based Monte Carlo method, Spatiocyte that supports RD in volume and surface compartments at single molecule resolution. Stochasticity in RD and the excluded volume effect brought by intracellular molecular crowding, both of which can significantly affect RD and thus, cellular processes, are also supported. We verified the method by comparing simulation results of diffusion, irreversible and reversible reactions with the predicted analytical and best available numerical solutions. Moreover, to directly compare the localization... |
| Tipo: Manuscript |
Palavras-chave: Developmental Biology; Microbiology; Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3845/version/1 |
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| Satya N. V. Arjunan; Masaru Tomita. |
| The-Cell System is an advanced open-source simulation platform to model and analyze biochemical reaction networks. The present algorithm modules of the system assume that the reacting molecules are all homogeneously distributed in the reaction compartments, which is not the case in some cellular processes. The MinCDE system in Escherichia coli, for example, relies on intricately controlled reaction, diffusion and localization of Min proteins on the membrane and in the cytoplasm compartments to inhibit cell division at the poles of the rod-shaped cell. To model such processes, we have extended the E-Cell System to support reaction-diffusion and dynamic localization of molecules in volume and surface compartments. We evaluated our method by modeling the in... |
| Tipo: Manuscript |
Palavras-chave: Developmental Biology; Microbiology; Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3526/version/1 |
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