TXM13 human melanoma cells: a novel source for the inhibition kinetics of human tyrosinase and for screening whitening agents
Bibliographic record
Abstract
Research involving whitening agents requires several steps of experimentation, and the initial step is to test whitening agents with human melanocytes and those with human tyrosinase. Unfortunately, it takes a long time to gather human melanocytes, and these cells have some limitations when it comes to performing experiments, such as their passage difficulties and their cost. In this study, we suggest that the TXM13 human melanoma cells could be a useful cell candidate for studying human tyrosinase inhibition and depigmentation. We applied a tyrosinase inhibitor, such as dithioglycerine (DTGC), to validate the cell line's usefulness, and we tested the effect of DTGC on TXM13 melanogenesis. The results showed that human tyrosinase from TXM13 was appropriate, according to the inhibition kinetics, and that the conspicuous depigmentation of TXM13 occurred after DTGC treatment without downregulating the tyrosinase expression level. When taken together, our findings provide useful information regarding the use of the TXM13 melanoma cells for the development of whitening agents.
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 | 0.001 |
| 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".