RNF38 inhibits osteosarcoma cell proliferation by binding to CRY1
Bibliographic record
Abstract
The PI3K/AKT pathway plays an important role in the development of osteosarcoma. RNF38 interferes with activation of the AKT pathway. Cryptochrome1 (CRY1) inhibits osteosarcoma proliferation through the AKT pathway. We aimed to clarify whether RNF38 affects the proliferation of osteosarcoma cells by regulating the PI3K/AKT pathway through its interaction with CRY1. The mRNA levels of RNF38 were determined using qRT-PCR. Protein levels of RNF38, p-p70S6, p70S6, +p-AKT, AKT, p-mTOR, mTOR, and CRY1 were detected by western blotting. The proliferation of osteosarcoma cells was detected using CCK-8 and colony formation assays. The interaction between CRY1 and RNF38 was detected by co-immunoprecipitation and GST pull-down assays. RNF38 expression was higher in Saos-2 and U20S cells than in hFOB cells. Overexpression of RNF38 promoted the proliferation of osteosarcoma cells, the number of colonies, and p-AKT and p-mTOR levels, suggesting that overexpression of RNF38 activated the PI3K/AKT pathway. In addition, RNF38 directly binds to the N-terminal of CRY1. The simultaneous knockdown of RNF38 and CRY1 restored the level of p-AKT, which was reduced by RNF38 knockdown alone. RNF38 affects the proliferation of osteosarcoma cells by regulating the PI3K/AKT pathway through its interaction with CRY1.
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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) | 0.001 | 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 | 0.000 |
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 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".