CSDE1 regulates miR-20a-5p/ TMBIM6 axis in melanoma
Bibliographic record
Abstract
ABSTRACT RNA-binding proteins (RBPs) and microRNAs (miRNAs) play crucial roles in regulating gene expression at the post-transcriptional level in tumorigenesis. They primarily target the 3′UTRs of mRNAs to control their translation and stability. However, their co-regulatory effects on specific mRNAs in the pathogenesis of particular cancers are yet to be fully explored. CSDE1 is an RBP that promotes melanoma metastasis, and the mechanisms underlying its function in melanoma development are yet to be fully understood. In the current study, we report that CSDE1 enhances TMBIM6 protein expression without altering its mRNA levels in melanoma cells, indicating post-transcriptional regulation. CSDE1 and AGO2 competitively bind to TMBIM6 mRNA, and we identify miR-20-5p, which represses TMBIM6 expression, regulates the binding of CSDE1 to TMBIM6 mRNA. Further, the RNA-binding mutant of CSDE1 foregoes its competitive binding to the mRNA, allowing AGO2-mediated silencing of TMBIM6 expression. Our study highlights the pivotal role of CSDE1 in regulating miR-20a-5p function and the expression of TMBIM6 in melanoma cells, thus unveiling the potential of therapeutic strategies targeting this regulatory pathway in treating malignant skin cancers.
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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) | 0.003 | 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".