Primary human keratinocytes externalize stratifin protein via exosomes
Bibliographic record
Abstract
Although, stratifin (SFN) is externalized by keratinocytes and stimulates the expression of matrix metalloproteinase-1 (MMP-1) in fibroblasts, its mechanism of externalization is not known. Here, we hypothesize that keratinocytes have a capacity to release stratifin through externalization of exosomes. To test this hypothesis, exosomes were purified from human keratinocyte conditioned medium (KCM) and analyzed for the presence of SFN by Western blot analysis using lysosomal-associated membrane protein 2 (LAMP-2) and heat shock cognate 70 (hsc70) as exosomal markers. The results showed the presence of SFN in keratinocyte lysate, concentrated KCM and exosomes, but not in concentrated unconditioned medium. Transmission electron microscopic examination revealed the presence of unique "saucer-like" structures characteristic of exosomes whose diameters were <100 nm. Similar to the recombinant SFN, the exosomes associated proteins stimulated MMP-1 expression in fibroblasts. Depletion of the exosomes markedly reduced this MMP-1 stimulatory effect. To further statistically confirm these findings, fibroblasts were treated with three different exosome preparations and the finding showed more than 7.4-fold increase in the level of MMP-1 in the treated cells. Furthermore, we found that approximately 1% of the total proteins contained in exosomes correspond to SFN. In conclusion, this study is the first report showing that keratinocytes have the capacity to produce exosomes through which some intracellular proteins such as SFN, with MMP-1 stimulating activity for fibroblasts, is externalized into keratinocyte microenvironment.
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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".