Structure, Dynamics, and Interaction of p54<sup>nrb</sup>/NonO RRM1 with 5′ Splice Site RNA Sequence
Bibliographic record
Abstract
p54(nrb)/NonO is a nuclear RNA-binding protein involved in many cellular events such as pre-mRNA processing, transcription, and nuclear retention of hyper-edited RNAs. In particular, it participates in the splicing process by directly binding the 5' splice site of pre-mRNAs. The protein also concentrates in a nuclear body called paraspeckle by binding a G-rich segment of the ncRNA NEAT1. The N-terminal section of p54(nrb)/NonO contains tandem RNA recognition motifs (RRMs) preceded by an HQ-rich region including a threonine residue (Thr15) whose phosphorylation inhibits its RNA binding ability, except for G-rich RNAs. In this work, our goal was to understand the rules that characterize the binding of the p54(nrb)/NonO RRMs to their RNA target. We have done in vitro RNA binding experiments which revealed that only the first RRM of p54(nrb)/NonO binds to the 5' splice site RNA. We have then determined the structure of the p54(nrb)/NonO RRM1 by liquid-state NMR which revealed the presence of a canonical fold (β1α1β2β3α2β4) and the conservation of aromatic amino acids at the protein surface. We also investigated the dynamics of this domain by NMR. The p54(nrb)/NonO RRM1 displays some motional properties that are typical of a well-folded protein with some regions exhibiting more flexibility (loops and β-strands). Furthermore, we determined the affinity of p54(nrb)/NonO RRM1 interaction to the 5' splice site RNA by NMR and fluorescence quenching and mapped its binding interface by NMR, concluding in a classical nucleic acid interaction. This study provides an improved understanding of the molecular basis (structure and dynamics) that governs the binding of the p54(nrb)/NonO RRM1 to one of its target RNAs.
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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".