PHF19 and Akt control the switch between proliferative and invasive states in melanoma
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Melanoma tumor cells shift between proliferative and invasive states based on their plasticity and microenvironmental conditions. Our team has shown that melanoma cells, grown as spheroids in a neural cell crest medium, polarize toward an invasive phenotype, characterized by a higher motility, a poor proliferation rate and a gain of pluripotency gene expression (Nanog and Oct4) when compared with cells grown in two dimensions in a serum-contaning medium. In agreement with the phenotypic switching hypothesis, most of these features are reversible. Microarray studies comparing two- vs. three-dimensional cultures revealed the downregulation of a polycomb-like protein, PHF19 (PHD finger protein 19), in the spheroids. As Polycomb proteins are involved in the epigenetic control of gene expression, we hypothesized that PHF19 might play a role in the switch between proliferative and invasive phenotypes. In this report, we show that PHF19 silencing reduces the cell proliferation rate and increases the transendothelial migration capacities of melanoma cell lines. However, PHF19 does not modulate the transcription level of Oct4 and Nanog. In the search of an upstream transcriptional regulator of the above genes, we identified the Akt signaling cascade as an inhibitor of Oct4 and Nanog expression and an activator for PHF19 expression. Through chromatin immunoprecipitation, we further provide evidence that phospho-Akt is part of the transcriptional complex associated to the promoters of all three genes. Our data therefore indicate the role of PHF19 and its upstream regulator, Akt, in the phenotype switch of melanoma cells from proliferative to invasive states.
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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 it