Single molecule dynamics of Dishevelled at the plasma membrane and Wnt pathway activation
Bibliographic record
Abstract
Abstract Dvl (Dishevelled) is one of several essential non-enzymatic components of the Wnt signaling pathway. In most current models, Dvl forms complexes with Wnt ligand receptors, Fzd and LRP5/6 at the plasma membrane, which then recruits other components of the destruction complex leading to inactivation of β-catenin degradation. Although this model is widespread, direct evidence for this process is lacking. In this study, we tagged mEGFP to C-terminus of dishevlled2 gene using CRISPR/Cas9 induced homologous recombination and observed its dynamics directly at the single molecule level with Total Internal Reflection Fluorescence (TIRF) microscopy. We focused on two questions: 1) What is the native size and the dynamic features of membrane-associated Dvl complexes during Wnt pathway activation? 2) What controls the behavior of these complexes? We found that membrane bound Dvl2 is predominantly monomer in the absent of Wnt (mean size 1.10). Wnt3a stimulation leads to an increase in the total concentration of membrane-bound Dvl2 from 0.08/μm 2 to 0.34/μm 2 . Wnt3a also leads to increased oligomerization which raises the weighted averaged mean size of Dvl2 complexes to 1.4; with 65% of Dvl still as monomers. The driving force for Dvl2 oligomerization is the increased concentration of Dvl2 at the membrane caused by increased affinity of Dvl2 for Fzd, the Dvl2 and Fzd binding is independent of LRP5/6. The oligomerized Dvl2 complexes have greatly increased dwell time, 2~3 minutes compared to less than 1 second for monomeric Dvl2. These properties make Dvl a unique scaffold dynamically changing its state of assembly and stability at the membrane in response to Wnt ligands. Significance Statement Canonical Wnt signaling is one of the most widely distributed pathways in metazoan development. Despite intense genetic and biochemical study for over 35 years, the major features of signaling across the plasma membrane are still poorly understood. Dishevelled serves as an essential bridge between the membrane receptors and downstream signaling components. Attempts to reconstruct the pathway and analyze its biochemical features in vitro have been hampered by Dishevelled’s tendency to aggregate in vitro and to form large aggregates of dubious significance in vivo. To obtain a molecular understanding of the role of Dvl in Wnt signaling, while circumventing these aggregation problems we have expressed a fluorescent tagged Dishevelled in cells at their physiological concentration and quantified the size distribution of Dishevelled before and after Wnt treatment. We found that limited oligomerization in response to the Wnt ligand is very dynamic and provides a key step of signal transduction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".