Focal adhesion kinase is required for β-catenin-induced mobilization of epidermal stem cells
Bibliographic record
Abstract
Focal adhesion kinase (FAK) is a non-receptor tyrosine kinase that integrates signals downstream of integrin and growth factor activation. Previously, we have shown that skin-specific loss of fak prevents chemically induced skin carcinogenesis in mice following phorbol ester treatment. In this study, we show that skin-specific deletion of fak prevents mobilization of stem cells within the bulge region of the hair follicle, which are the precursors of papillomas following phorbol ester treatment. We also show that phorbol ester treatment results in activation of-catenin within the skin and that FAK is required for β-catenin-induced stem cell mobilization. In addition, inhibition of Src kinase activity, a major binding partner of FAK also prevents stem cell mobilization. We show that FAK is required for the nuclear localization of β-catenin in the skin following phorbol ester treatment and the transcriptional activation of the β-catenin target gene c-Myc. This provides the first evidence of cross-talk between integrin and Wnt signalling pathways in the control of epidermal stem cells and the early events associated with skin carcinogenesis.
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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) | 0.002 | 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".