The major vault protein integrates adhesion-driven signals to regulate collagen remodeling
Bibliographic record
Abstract
DDR1 interacts with fibrillar collagen and can affect β1 integrin-dependent signaling, but the mechanism that mediates functional interactions between these two different receptors is not defined. We searched for molecules that link DDR1 and β1 integrin-dependent signaling in response to collagen binding. The activation of DDR1 by binding to fibrillar collagen reduced by 5-fold, β1 integrin-dependent ERK phosphorylation that leads to MMP1 expression. In contrast, pharmacological inhibition of DDR1 or culturing cells on fibronectin restored ERK phosphorylation and MMP1 expression mediated by the β1 integrin. A phospho-site screen indicated that collagen-induced DDR1 activation inhibited β1 integrin-dependent ERK signaling by regulating autophosphorylation of focal adhesion kinase (FAK). Immunoprecipitation, mass spectrometry, and protein-protein interaction mapping showed that while DDR1 and FAK do not interact directly, the major vault protein (MVP) binds DDR1 and FAK depending on the substrate. MVP associated with DDR1 in cells expressing β1 integrin that were cultured on collagen. Knockdown of MVP restored ERK activation and MMP1 expression in DDR1-expressing cells cultured on collagen. Immunostaining of invasive cancers in human colon showed colocalization of DDR1 with MVP. These data indicate that MVP interactions with DDR1 and FAK contribute to the regulation of β1 integrin-dependent signaling pathways that drive collagen degradation. • Proposed mechanism by which DDR1 and alpha2β1 integrin, functionally interact to regulate ERK signaling in epithelial cell adherent to collagen. • Cell adhesion to collagen through the alpha2β1 integrin signals through FAK and ERK to promote expression of matrix metalloproteinase 1 leading to collagen degradation. • When DDR1 is expressed at high levels, the major vault protein (MVP) binds to DDR1 and to FAK to inhibit ERK activation and expression of MMP1. • We propose that MVP interacts with FAK and DDR1 to regulate ERK-mediated collagen degradation.
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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) | 0.001 | 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) | 0.002 | 0.001 |
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".