Stochastic Effects in Signaling Pathways in Cells: Interaction between Visualization and Modeling

作者: Marek Kimmel

DOI: 10.1007/978-3-642-00563-3_2

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摘要: We review a research program under way at Rice University in Houston, TX and of Texas Medical Branch Galveston, TX, the United States Systems Engineering Group Silesian Technology Gliwice Poland. Individual biological cells display stochastic variability their responses to activating stimuli. This can be measured using recent molecular biology techniques, which prove that many respects no cell population behaves like an average cell. In taking part innate immune response this seems very important. prokaryotes, are small, importance effects all levels transcription/translation process was recognized early on. Eukaryotic much larger also have more complex mechanisms transcription initiation. Since arise mainly through interactions limited number discrete entities (such as factors, promoter binding sites, receptors so forth), it is expected eukaryotic these will due initiation signaling mediated by small numbers active molecules recognition foreign antigens T lymphocytes.We present system subject our research, well outline mathematical computational methods we use analyze it. Visualization modeling two major elements approach.

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