The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Ligand‐dependent responses of the ErbB signaling network: experimental and modeling analyses
Open accessAbstract
Deregulation of ErbB signaling plays a key role in the progression of multiple human cancers. To help understand ErbB signaling quantitatively, in this work we combine traditional experiments with computational modeling, building a model that describes how stimulation of all four ErbB receptors with epidermal growth factor (EGF) and heregulin (HRG) leads to activation of two critical downstream proteins, extracellular-signal-regulated kinase (ERK) and Akt. Model analysis and experimental validation show that (i) ErbB2 overexpression, which occurs in approximately 25% of all breast cancers, transforms transient EGF-induced signaling into sustained signaling, (ii) HRG-induced ERK activity is much more robust to the ERK cascade inhibitor U0126 than EGF-induced ERK activity, and (iii) phosphoinositol-3 kinase is a major regulator of post-peak but not pre-peak EGF-induced ERK activity. Sensitivity analysis leads to the hypothesis that ERK activation is robust to parameter perturbation at high ligand doses, while Akt activation is not.
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Cites
Lynch, T. J., Bell, D. W., Sordella, R., Gurubhagavatula, S., Okimoto, R. A., Brannigan, B. W., Harris, P. L., Haserlat, S. M., Supko, J. G., Haluska, F. G., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040938 · Cited by 11,486
Kitano, H. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1471 · Cited by 2,278
Phosphotyrosine interactome of the ErbB‐receptor kinase family
Schulze, W. X., Deng, L., & Mann, M. (2005) · Molecular Systems Biology · doi:10.1038/msb4100012 · Cited by 753
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
Self-citationZhang, X., Trame, M., Lesko, L., & Schmidt, S. (2015) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.6 · Cited by 467
Chen, W. W., Schoeberl, B., Jasper, P. J., Niepel, M., Nielsen, U. B., Lauffenburger, D. A., & Sorger, P. K. (2009) · Molecular Systems Biology · doi:10.1038/msb.2008.74 · Cited by 391
Principles and methods of integrative genomic analyses in cancer
Kristensen, V. N., Lingjærde, O. C., Russnes, H. G., Vollan, H. K. M., Frigessi, A., & Børresen-Dale, A.-L. (2014) · Nature Reviews Cancer · doi:10.1038/nrc3721 · Cited by 371
Cancer systems biology: a network modeling perspective
Kreeger, P. K., & Lauffenburger, D. A. (2010) · Carcinogenesis · doi:10.1093/carcin/bgp261 · Cited by 368
Metadata
- Authors
- Birtwistle, M. R., Hatakeyama, M., Yumoto, N., Ogunnaike, B. A., Hoek, J. B., & Kholodenko, B. N.
- Venue
- Molecular Systems Biology
- Published
- 2007-01
- Volume
- 3
- Issue
- 1
- Pages
- 144-144
- ISSN
- 1744-4292 (ISSN-L)
- OpenAlex
- W2126841263
- Cited by
- 234
- References
- 3
- FWCI
- 10.11
- Type
- journal article
- Language
- en
- Open access
- gold
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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.