Transfection of p27<sup>Kip1</sup> Threonine Residue 187 Mutant Type Gene, Which Is Not Influenced by Ubiquitin-Mediated Degradation, Induces Cell Cycle Arrest in Oral Squamous Cell Carcinoma Cells
Bibliographic record
Abstract
OBJECTIVE: It is well known that reduction of the cyclin-dependent kinase inhibitor p27(Kip1) protein correlates with the malignant behavior of various cancers including oral squamous cell carcinoma (OSCC). The loss of p27(Kip1) protein is suggested to be due to the enhancement of its posttranslational degradation. In the present study, to evaluate the effects of p27(Kip1) transfection on the cell cycle, we transfected OSCC cell lines with a high activity of p27(Kip1) degradation with p27(Kip1) threonine 187-to-alanine (T187A) mutant gene, which is not influenced by ubiquitin-mediated degradation, as well as with wild type gene. METHODS: We transfected p27(Kip1) T187A mutant and wild type gene into OSCC cell lines (HSC2 and HSC3) by using an ecdysone-inducible gene expression system. RESULTS: After treatment with ponasterone A, we could find an induction of both p27(Kip1) wild type and T187A mutant protein. Both wild type and T187A mutant protein induced by 5 microM ponasterone A inhibited cell growth and increased cell number at the G1 phase. After treatment with 1 microM ponasterone A, ectopic p27(Kip1) protein was degraded in wild type clones, but not in T187A mutant clones. Moreover, transfection of the T187A mutant gene was more effective in inhibiting cell growth even by induction of a small amount of protein. CONCLUSION: We suggest that the transfection of the p27(Kip1) T187A mutant gene can be a modality of cancer gene therapy for OSCC.
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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 | 0.001 |
| 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".