The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Investigation of Early Events in FcεRI-Mediated Signaling Using a Detailed Mathematical Model
Abstract
Aggregation of FcεRI on mast cells and basophils leads to autophosphorylation and increased activity of the cytosolic protein tyrosine kinase Syk. We investigated the roles of the Src kinase Lyn, the immunoreceptor tyrosine-based activation motifs (ITAMs) on the β and γ subunits of FcεRI, and Syk itself in the activation of Syk. Our approach was to build a detailed mathematical model of reactions involving FcεRI, Lyn, Syk, and a bivalent ligand that aggregates FcεRI. We applied the model to experiments in which covalently cross-linked IgE dimers stimulate rat basophilic leukemia cells. The model makes it possible to test the consistency of mechanistic assumptions with data that alone provide limited mechanistic insight. For example, the model helps sort out mechanisms that jointly control dephosphorylation of receptor subunits. In addition, interpreted in the context of the model, experimentally observed differences between the β- and γ-chains with respect to levels of phosphorylation and rates of dephosphorylation indicate that most cellular Syk, but only a small fraction of Lyn, is available to interact with receptors. We also show that although the β ITAM acts to amplify signaling in experimental systems where its role has been investigated, there are conditions under which the β ITAM will act as an inhibitor.
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Cites
THE HIGH-AFFINITY I g E RECEPTOR (FcεRI): From Physiology to Pathology
Kinet, J.-P. (1999) · Annual Review of Immunology · doi:10.1146/annurev.immunol.17.1.931 · Cited by 968
Signal Transduction by the High-Affinity Immunoglobulin E Receptor FcεRI: Coupling Form to Function
Nadler, M. J. S., Matthews, S. A., Turner, H., & Kinet, J.-P. (2001) · Advances in Immunology · doi:10.1016/s0065-2776(01)76022-1 · Cited by 203
syk kinase activation by a src kinase-initiated activation loop phosphorylation chain reaction
El-Hillal, O., Kurosaki, T., Yamamura, H., Kinet, J.-P., & Scharenberg, A. M. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.5.1919 · Cited by 130 · cited 4×
“It is unclear at present whether the catalytic activity of unphosphorylated Syk bound to the ITAM is sufficient to transphosphorylate an adjacent Syk molecule (24), as assumed by the model, or whether Syk must first be activated by Lyn (19).”
BackgroundInfluential
Cited by
Blinov, M. L., Faeder, J. R., Goldstein, B., & Hlavacek, W. S. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth378 · Cited by 429
Self-citationRule-Based Modeling of Biochemical Systems with BioNetGen
Faeder, J. R., Blinov, M. L., & Hlavacek, W. S. (2009) · Methods in Molecular Biology · doi:10.1007/978-1-59745-525-1_5 · Cited by 425
Self-citationRules for Modeling Signal-Transduction Systems
Hlavacek, W. S., Faeder, J. R., Blinov, M. L., Posner, R. G., Hucka, M., & Fontana, W. (2006) · Science's STKE · doi:10.1126/stke.3442006re6 · Cited by 350
Self-citationEfficient modeling, simulation and coarse-graining of biological complexity with NFsim
Sneddon, M. W., Faeder, J. R., & Emonet, T. (2011) · Nature Methods · doi:10.1038/nmeth.1546 · Cited by 288
Self-citationCatalyst: Fast and flexible modeling of reaction networks
Loman, T. E., Ma, Y., Ilin, V., Gowda, S., Korsbo, N., Yewale, N., Rackauckas, C., & Isaacson, S. A. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011530 · Cited by 47
Metadata
- Authors
- Faeder, J. R., Hlavacek, W. S., Reischl, I., Blinov, M. L., Metzger, H., Redondo, A., Wofsy, C., & Goldstein, B.
- Venue
- The Journal of Immunology
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-04-01
- Volume
- 170
- Issue
- 7
- Pages
- 3769-3781
- ISSN
- 0022-1767 (ISSN-L)
- 1550-6606
- OpenAlex
- W2139941949
- Cited by
- 165
- References
- 3
- FWCI
- 3.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- Faeder, J. R., Hlavacek, W. S., Reischl, I., Blinov, M. L., Metzger, H., Redondo, A., Wofsy, C., & Goldstein, B. (2003). Investigation of Early Events in FcεRI-Mediated Signaling Using a Detailed Mathematical Model. The Journal of Immunology. https://doi.org/10.4049/jimmunol.170.7.3769
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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