Circulating monocytes have the capacity to be transdifferentiated into keratinocyte‐like cells
Bibliographic record
Abstract
Transdifferentiation is a process in which the original commitment of a cell is changed to give rise to unexpected peripheral mature cells. Our previous report showed that circulating stem cells can generate keratinocyte-like cells (KLCs). However, it remains to be determined whether or not other peripheral blood mononuclear cells (PBMC) subsets have the potential to follow the same cell fate. In this study, the cell transdifferentiation of circulating CD14(+) monocytes into KLCs and their regulatory effect on matrix metalloproteinase-1 (MMP-1) expression in dermal fibroblasts were evaluated. The results showed that monocytes isolated from peripheral blood mononuclear cells have the capacity to generate KLCs. These transdifferentiated cells exhibited, along with a keratinocyte-like morphology, a characteristic profile consisting in stratifin(+), cytokeratins(+) (types I and II), CD14(low), and involucrin(+) on day 21 in culture. Similar to keratinocyte-conditioned media, KLC-derived conditioned media were able to induce an increase in the MMP-1 expression in dermal fibroblasts. This effect was significantly reduced by using 14-3-3 protein-depleted KLC-conditioned media. Our findings show the potential transdifferentiation of circulating CD14(+) monocytes into KLCs and their regulatory effect on MMP-1 expression in dermal fibroblasts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".