The Roles of APC and Axin Derived from Experimental and Theoretical Analysis of the Wnt Pathway
Open accessAbstract
Wnt signaling plays an important role in both oncogenesis and development. Activation of the Wnt pathway results in stabilization of the transcriptional coactivator beta-catenin. Recent studies have demonstrated that axin, which coordinates beta-catenin degradation, is itself degraded. Although the key molecules required for transducing a Wnt signal have been identified, a quantitative understanding of this pathway has been lacking. We have developed a mathematical model for the canonical Wnt pathway that describes the interactions among the core components: Wnt, Frizzled, Dishevelled, GSK3beta, APC, axin, beta-catenin, and TCF. Using a system of differential equations, the model incorporates the kinetics of protein-protein interactions, protein synthesis/degradation, and phosphorylation/dephosphorylation. We initially defined a reference state of kinetic, thermodynamic, and flux data from experiments using Xenopus extracts. Predictions based on the analysis of the reference state were used iteratively to develop a more refined model from which we analyzed the effects of prolonged and transient Wnt stimulation on beta-catenin and axin turnover. We predict several unusual features of the Wnt pathway, some of which we tested experimentally. An insight from our model, which we confirmed experimentally, is that the two scaffold proteins axin and APC promote the formation of degradation complexes in very different ways. We can also explain the importance of axin degradation in amplifying and sharpening the Wnt signal, and we show that the dependence of axin degradation on APC is an essential part of an unappreciated regulatory loop that prevents the accumulation of beta-catenin at decreased APC concentrations. By applying control analysis to our mathematical model, we demonstrate the modular design, sensitivity, and robustness of the Wnt pathway and derive an explicit expression for tumor suppression and oncogenicity.
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The simulation model by Lee et al. (2003) was the first validated simulation model of the canonical Wnt signaling pathway.
“which was the first validated simulation model of the canonical Wnt signaling pathway”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
The Results section (“β-Catenin Degradation: Comparison of Theory and Experiment”; page unavailable) reports that the model’s simulations agreed excellently with experimental results, supporting its description as a validated simulation model. The Introduction describes a lack of quantitative understanding but does not establish that this was the first validated model of the canonical Wnt pathway. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe quantitative requirement that "Axin stimulates the phosphorylation of β-catenin by GSK3β at least 24,000-fold" actually refers to the wet-lab data WD1 obtained in another study by Dajani et al. (2003).
“The quantitative requirement that “Axin stimulates the phosphorylation of β-catenin by GSK3β at least 24,000-fold” [28] actually refers to the wet-lab data WD1 obtained in another study by Dajani et al. (2003) [65].”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
Lee et al. (2003) executed in vitro wet-lab experiments with an egg extract of Xenopus and showed in WD1 that the turnover of GSK3β, Dsh, and TCF is relatively slow.
“In the provenance example, Lee et al. (2003) have executed in vitro wet-lab experiments with an egg extract of Xenopus and have shown in WD1 that the “turnover of GSK3β, Dsh, and TCF is relatively slow” [28].”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
Assumption A1 reads "Dsh, TCF, and GSK3β are degraded very slowly, we assume that their concentrations remain constant throughout the timecourse of a Wnt signaling event" and was matched to ID 362 (Concentration conservation law) of SBO.
“A1, for instance, reads “Dsh, TCF, and GSK3β are degraded very slowly, we assume that their concentrations remain constant throughout the timecourse of a Wnt signaling event” [28] and was matched to ID 362 (Concentration conservation law) of SBO.”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
BSM1 uses wet-lab data, the research question, the qualitative model, a requirement and assumptions to develop a "provisional reference state model", which forms the not yet calibrated simulation model in the study.
“BSM1 is using wet-lab data, the research question, the qualitative model, a requirement and assumptions to develop a “provisional reference state model” [28], which forms the not yet calibrated simulation model in the study.”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
Lee et al. (2003) questioned in RQ1 the necessity of the two scaffold proteins APC and Axin for Wnt signaling and whether their roles differ.
“As for the provenance example shown in Fig 3, Lee et al. (2003) questioned in RQ1 the necessity of “the two scaffold proteins, APC and Axin” (for Wnt signaling) and whether “their roles differ” [28].”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
Six out of 19 publications recorded their own wet-lab data [28, 31, 32, 45, 51, 57].
“When looking at Wet-lab Data, six out of 19 publications recorded their own wet-lab data [28, 31, 32, 45, 51, 57].”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
Requirements could only be identified in the publications of Lee et al. (2003) [28], Wang et al. (2013) [48], Chen et al. (2014) [49], and Haack et al. (2020) [56].
“We could only identify Requirements in the publications of Lee et al. (2003) [28], Wang et al. (2013) [48], Chen et al. (2014) [49], and Haack et al. (2020) [56].”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
Only a few simulation models were both calibrated and validated based on wet-lab data, namely those of Lee et al. (2003) [28], Kogan et al. (2012) [45], and Haack et al. (2015) [51].
“When looking at the CSM and VSM activities, we detect that only a few simulation models were both calibrated and validated based on wet-lab data, namely those of Lee et al. (2003) [28], Kogan et al. (2012) [45], and Haack et al. (2015) [51].”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
Some studies develop a story line where a simulation model has been successively refined, extended, or composed ([28, 33, 34, 36, 41, 46, 48, 49, 51, 56]).
“Some studies develop a story line where a simulation model has been successively refined, extended, or composed ([28, 33, 34, 36, 41, 46, 48, 49, 51, 56]).”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
In Mazemondet et al. (2012) [46], the core model of the Wnt/β-catenin signaling pathway has been calibrated with wet-lab data from Lee et al. (2003) [28], but this calibrated simulation model was not used and instead, a new calibration with wet-lab data from another study took place.
“For example, in Mazemondet et al. (2012) [46], the core model of the Wnt/β-catenin signaling pathway has been calibrated with wet-lab data from Lee et al. (2003) [28], but this calibrated simulation model was not used and instead, a new calibration with wet-lab data from another study took place.”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
The two simulation models not linked to Lee et al. (2003) are those by Sick et al. (2006) and by Rodríguez-González et al. (2007).
“The two exceptions not linked to Lee et al. (2003) [28] are the simulation models by Sick et al. (2006) [31] and by Rodríguez-González et al. (2007) [33].”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
The central cluster includes the Wnt model by Lee et al. (2003) as well as the studies [30, 34, 35, 41].
“The central cluster includes the Wnt model by Lee et al. (2003) [28] as well as the studies [30, 34, 35, 41].”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
All but two of the simulation models considered in the survey are (indirectly) connected to the model proposed by Lee et al. (2003).
“All but two simulation models are (indirectly) connected to the model proposed by Lee et al. (2003) [28], which was the first validated simulation model of the canonical Wnt signaling pathway.”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
The Wnt simulation model by Lee et al. (2003) has an outstanding role as the origin for most other models in the survey.
“Our results show the outstanding role of the Wnt simulation model by Lee et al. (2003) [28] as the origin for most other models in our survey.”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [28]
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The self-check needs the paper’s full text.
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“The quantitative requirement that “Axin stimulates the phosphorylation of β-catenin by GSK3β at least 24,000-fold” [28] actually refers to the wet-lab data WD1 obtained in another study by Dajani et al.”
BackgroundMethodResultInfluentialConceptual Models in Simulation Studies: Making it Explicit
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- Authors
- Lee, E., Salic, A., Krüger, R., Heinrich, R., & Kirschner, M. W.
- Affiliations
- Harvard University (US)
- Humboldt-Universität zu Berlin (DE)
- Corresponding author
- Heinrich, Reinhart
- Kirschner, Marc W
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2003-10-13
- Volume
- 1
- Issue
- 1
- Pages
- e10
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- PMC
- PMC212691
- OpenAlex
- W1996984755
- Cited by
- 708
- References
- 4
- Citations by year
- 2026: 10 · 2025: 19 · 2024: 18 · 2023: 19 · 2022: 35 · 2021: 23 · 2020: 32 · 2019: 27 · 2018: 25 · 2017: 35 · 2016: 36 · 2015: 31 · 2014: 43 · 2013: 30 · 2012: 48
- FWCI
- 11.40
- Type
- journal article
- Language
- en
- Update notices
- correction (2004-03-16)
- Open access
- gold
- doi.org
- Locations
- PLoS Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Leukemia and Lymphoma Society
- Deutsche Forschungsgemeinschaft (SFB 555)
- National Institute of General Medical Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD037277, R01HD037277)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Wnt/β-catenin signaling in development and cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Keywords
- Wnt signaling, APC, Axin, β-catenin degradation, canonical Wnt pathway, protein-protein interaction, GSK3β, Frizzled receptors, Dishevelled, TCF, signal amplification, feedback regulatory loop, tumor suppression, carcinogenesis, control analysis, robustness
- MeSH terms
- Animals, Biochemical Phenomena, Biochemistry, Dose-Response Relationship, Drug, Drosophila, Kinetics, Models, Biological, Models, Theoretical, Oocytes, Phosphorylation, Protein Binding, Recombinant Proteins, Repressor Proteins, Thermodynamics, Xenopus, Models, Statistical, Signal Transduction, Adenomatous Polyposis Coli Protein, Xenopus Proteins, Wnt Proteins, beta Catenin, Axin Protein
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