Characterizing the Coding Region Determinant-Binding Protein (CRD-BP)-Microphthalmia-associated Transcription Factor (MITF) mRNA interaction
Bibliographic record
Abstract
Coding region determinant-binding protein (CRD-BP) binds to the 3'-UTR of microphthalmia-associated transcription factor (MITF) mRNA to prevent its targeted degradation by miR-340. Here, we aim to further understand the molecular interaction between CRD-BP and MITF RNA. Using point mutation in the GXXG motif of each KH domains, we showed that all four KH domains of CRD-BP are important for their physical association with MITF RNA. We mapped the CRD-BP-binding site in the 3'-UTR of MITF RNA from nts 1330-1740 and showed that the 49-nt fragment 1621-1669 is the minimal size MITF RNA for binding. Upon deletion of nts 1621-1669 within the nts1550-1740 of MITF RNA, there was a 3-fold increase in dissociation constant Kd, which further confirms the critical role sequences within nts 1621-1669 in binding to CRD-BP. Amongst the eight antisense oligonucleotides designed against MITF RNA 1550-1740, we found MHO-1 and MHO-7 as potent inhibitors of the CRD-BP-MITF RNA interaction. Using RNase protection and fluorescence polarization assays, we showed that both MHO-1 and MHO-7 have affinity for the MITF RNA, suggesting that both antisense oligonucleotides inhibited CRD-BP-MITF RNA interaction by directly binding to MITF RNA. The new molecular insights provided in this study have important implications for understanding the oncogenic function of CRD-BP and development of specific inhibitors against CRD-BP-MITF RNA interaction.
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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 | 0.001 | 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".