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 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".