The tumour suppressor p33ING1 does not regulate migration and angiogenesis in melanoma cells
Bibliographic record
Abstract
The tumour suppressor ING1 shares many biological functions with p53, such as cell cycle arrest, DNA repair, apoptosis, and chemosensitivity. Since p53 inhibits invasion and angiogenesis of melanoma cells, we sought to investigate if p33ING1 (one of ING1 isoforms) is also involved in these biological processes. We first overexpressed p33ING1 in melanoma cells and assessed the protein levels in MMP-1, MMP-2, and MMP-9. Results from Western blot analysis showed no significant difference in these matrix metalloproteinase levels between cells transfected with vector, p33ING1, and antisense p33ING1. Wound healing assay was performed to examine if p33ING1 plays a role in migration and invasion. Results showed that there was no difference between vector, p33ING1, and antisense p33ING1 groups in melanoma cell migration across the wound. Western blot analysis also indicated that there is no difference in the levels of proteins which are directly involved in angiogenesis, such as VEGF, Flt-1, and Flk-1, between cells transfected with vector, p33ING1, and antisense p33ING1. Furthermore, functional studies indicated that cultured medium derived from p33ING1-transfected melanoma cells did not stimulate the growth of HUVEC cells, compared to controls, providing support to the lack of functional role of p33ING1 in angiogenesis. In conclusion, we demonstrate in vitro that p33ING1, unlike p53, does not play a role in angiogenesis and migration in melanoma cells.
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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) | 0.000 | 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".