The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Bistability and Oscillations in the Huang-Ferrell Model of MAPK Signaling
Open accessAbstract
Physicochemical models of signaling pathways are characterized by high levels of structural and parametric uncertainty, reflecting both incomplete knowledge about signal transduction and the intrinsic variability of cellular processes. As a result, these models try to predict the dynamics of systems with tens or even hundreds of free parameters. At this level of uncertainty, model analysis should emphasize statistics of systems-level properties, rather than the detailed structure of solutions or boundaries separating different dynamic regimes. Based on the combination of random parameter search and continuation algorithms, we developed a methodology for the statistical analysis of mechanistic signaling models. In applying it to the well-studied MAPK cascade model, we discovered a large region of oscillations and explained their emergence from single-stage bistability. The surprising abundance of strongly nonlinear (oscillatory and bistable) input/output maps revealed by our analysis may be one of the reasons why the MAPK cascade in vivo is embedded in more complex regulatory structures. We argue that this type of analysis should accompany nonlinear multiparameter studies of stationary as well as transient features in network dynamics.
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Cites
Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise
Newman, J. R. S., Ghaemmaghami, S., Ihmels, J., Breslow, D. K., Noble, M., DeRisi, J. L., & Weissman, J. S. (2006) · Nature · doi:10.1038/nature04785 · Cited by 1,483
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A positive-feedback-based bistable ‘memory module’ that governs a cell fate decision.
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Physicochemical modelling of cell signalling pathways
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Robustness analysis of biochemical network models
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Cited by
Signalling ballet in space and time
Kholodenko, B. N., Hancock, J. F., & Kolch, W. (2010) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2901 · Cited by 614
Raf Family Kinases: Old Dogs Have Learned New Tricks
Matallanas, D., Birtwistle, M., Romano, D., Zebisch, A., Rauch, J., von Kriegsheim, A., & Kolch, W. (2011) · Genes & Cancer · doi:10.1177/1947601911407323 · Cited by 386
How subtle changes in 3D structure can create large changes in transcription
Xiao, J. Y., Hafner, A., & Boettiger, A. N. (2021) · eLife · doi:10.7554/elife.64320 · Cited by 162
A Six‐Stage Workflow for Robust Application of Systems Pharmacology
Gadkar, K., Kirouac, D., Mager, D., van der Graaf, P., & Ramanujan, S. (2016) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12071 · Cited by 93
Substrate-dependent control of MAPK phosphorylation in vivo
Kim, Y., Paroush, Z., Nairz, K., Hafen, E., Jiménez, G., & Shvartsman, S. Y. (2011) · Molecular Systems Biology · doi:10.1038/msb.2010.121 · Cited by 80
“Substrate-dependent control of MAPK phosphorylation in vivo”
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Metadata
- Authors
- Qiao, L., Nachbar, R. B., Kevrekidis, I. G., & Shvartsman, S. Y.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2007-09-28
- Volume
- 3
- Issue
- 9
- Pages
- e184
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- OpenAlex
- W2164925597
- Cited by
- 210
- References
- 7
- FWCI
- 4.91
- Type
- journal article
- Language
- en
- Open access
- gold
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- Qiao, L., Nachbar, R. B., Kevrekidis, I. G., & Shvartsman, S. Y. (2007). Bistability and Oscillations in the Huang-Ferrell Model of MAPK Signaling. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.0030184
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
