ArticleMolecular systems biology2009
Linear combinations of docking affinities explain quantitative differences in RTK signaling.
Article in Molecular systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
33 citing papers in PubMed, 55 citations in OpenAlex.
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- Modeling cell line-specific recruitment of signaling proteins to the insulin-like growth factor 1 receptor.PLoS computational biology · 2019Article
- Synthesizing Signaling Pathways from Temporal Phosphoproteomic Data.Cell reports · 2018Article
- A novel functional crosstalk between DDR1 and the IGF axis and its relevance for breast cancer.Cell adhesion & migration · 2018Review
- Exploiting receptor tyrosine kinase co-activation for cancer therapy.Drug discovery today · 2017Review
- The role of HER2, EGFR, and other receptor tyrosine kinases in breast cancer.Cancer metastasis reviews · 2016Review
- Conservation of protein abundance patterns reveals the regulatory architecture of the EGFR-MAPK pathway.Science signaling · 2016Article
- TNF-insulin crosstalk at the transcription factor GATA6 is revealed by a model that links signaling and transcriptomic data tensors.Science signaling · 2016Article
- Enhanced prediction of Src homology 2 (SH2) domain binding potentials using a fluorescence polarization-derived c-Met, c-Kit, ErbB, and androgen receptor interactome.Molecular & cellular proteomics : MCP · 2014Article
- Receptor tyrosine kinase (RTK) signalling in the control of neural stem and progenitor cell (NSPC) development.Molecular neurobiology · 2014Review
- Sucrose-induced receptor kinase SIRK1 regulates a plasma membrane aquaporin in Arabidopsis.Molecular & cellular proteomics : MCP · 2013Article
- Receptor tyrosine kinases fall into distinct classes based on their inferred signaling networks.Science signaling · 2013Article
- Models of signalling networks - what cell biologists can gain from them and give to them.Journal of cell science · 2013Review
- Discoidin domain receptors: unique receptor tyrosine kinases in collagen-mediated signaling.The Journal of biological chemistry · 2013Review
- Temporal decoding of MAP kinase and CREB phosphorylation by selective immediate early gene expression.PloS one · 2013Article
- Multiscale models of cell signaling.Annals of biomedical engineering · 2012Review
- Modeling the latent dimensions of multivariate signaling datasets.Physical biology · 2012Article
- Cross-talk between receptor tyrosine kinase and tumor necrosis factor-α signaling networks regulates apoptosis but not proliferation.Molecular & cellular proteomics : MCP · 2012Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Receptor tyrosine kinases (RTKs) process extracellular cues by activating a broad array of signaling proteins. Paradoxically, they often use the same proteins to elicit diverse and even opposing phenotypic responses. Binary, 'on-off' wiring diagrams are therefore inadequate to explain their differences. Here, we show that when six diverse RTKs are placed in the same cellular background, they activate many of the same proteins, but to different quantitative degrees. Additionally, we find that the relative phosphorylation levels of upstream signaling proteins can be accurately predicted using linear models that rely on combinations of receptor-docking affinities and that the docking sites for phosphoinositide 3-kinase (PI3K) and Shc1 provide much of the predictive information. In contrast, we find that the phosphorylation levels of downstream proteins cannot be predicted using linear models. Taken together, these results show that information processing by RTKs can be segmented into discrete upstream and downstream steps, suggesting that the challenging task of constructing mathematical models of RTK signaling can be parsed into separate and more manageable layers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.