Microarray‐based identification of aminopeptidase N target genes in keratinocyte conditioned medium‐stimulated dermal fibroblasts
Bibliographic record
Abstract
Of the many processes that affect the outcome of wound repair, epidermal-dermal interactions are essential to extracellular matrix (ECM) remodeling and in particular, soluble factors released by keratinocytes are known to have a direct impact on the production of ECM by dermal fibroblasts. Aminopeptidase N (APN) has recently been proposed as a cell-surface receptor for stratifin and is responsible for the stratifin-mediated matrix metalloproteinase-1 (MMP-1) upregulation in fibroblasts. The present study examines whether modulation of APN gene expression has any impact on the fibroblast ECM gene expression profile. The result reveals that in the presence of keratinocyte-derived soluble factors, transient knockdown of APN in dermal fibroblasts affects the expression of key ECM components such as fibronectin, tenascin-C, MMP-1, MMP-3, and MMP-12. The regulatory effects of APN on fibronectin and selective MMPs appear to be associated with receptor-mediated signal transduction independently of its peptidase activity. On the contrary, inhibition of the APN enzymatic activity by bestatin significantly reduces the tenascin-C expression and enhances the contraction of fibroblast-populated collagen gel, suggesting an activity-dependent regulation of fibroblast contractility by APN. The overall effects of APN on the expression of fibronectin, tenascin-C, and MMPs in fibroblasts propose an important role for APN in the regulation of keratinocyte-mediated ECM remodeling and fibroblast contractile activity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".