Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell.
By J. Tyson, Katherine C. Chen, Béla Novák. Current Opinion in Cell Biology, 2003
1,601 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/088630015ce0ad611be01e3d2a9c80cf05f1c9e6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Georg Seelig
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- Yuan-Jyue Chen
Citations in the corpus
- Network resilience (2020, background): “and fundamental importance of bistability in biochemical systems, plenty of theoretical and experimental studies have been carried out to uncover what is needed for a signal transduction pathway to exhibit bistability [281, 282, 283], which is a emergent phenomena in networks of biochemical reaction”
- Boolean network models of cellular regulation: prospects and limitations (2008, background): “However, many molecular regulatory elements indeed show binary characteristics, and even bistable switches are frequently observed inmolecular circuits (Tyson et al. 2003).”
- Colloquium: Criticality and dynamical scaling in living systems (2017, background): “Such binary states are believed to be the building blocks of genetic logical circuits (Tyson et al., 2003).”
- Next Generation Simulation Tools: The Systems Biology Workbench and BioSPICE Integration (2003, neutral): “…recently and especially since the development of high-throughput data collection and the completion of the human genome project, there has been a renewed and vigorous interest in understanding the dynamic aspects of cellular networks (Endy and Brent, 2001; Rao and Arkin, 2002; Tyson et al., 2003).”
- Programmable chemical controllers made from DNA (2013, background): “CRNs can embody a wide range of digital and analogue behaviours, including temporal pattern generation, multi-stability and memory, Boolean logic, signal processing, control systems or distributed algorithms 13,35–40 .”
- Introduction to systems biology. (2007, background): “Using a semi-detailed model (based on [18, 103]), the authors modeled the network in the absence and the presence of the degradation of cyclin-B and found bistability and oscillations, respectively.”
- Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast (2007, background): “Such methods are highly developed today and are broadly applied to predictive dynamical modeling from single pathways to complex biochemical networks [8].”
- Nonlinear dynamics of networks: the groupoid formalism (2006, background): “Feinberg has beautiful results about when the network can support steady states and periodic solutions; Tyson et al. have derived detailed cell cycle models along with an understanding of how the network affects the dynamics in these models.”
- The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases (2003, background): “Signal transduction is equally dependent on biomolecular interactions [Tyson et al., 2003] as are biochemical and metabolic networks [Michal, 1999].”
- Scale-free networks in cell biology (2005, methodology): “For information on other important related topics, such as computational methods of network inference and mathematical modeling of the dynamics of cellular networks, several excellent review articles are available elsewhere (Friedman, 2004; Longabaugh et al., 2005; Ma’ayan et al., 2004; Papin et al.”