The mitotic phosphorylation of p54<sup>nrb</sup> modulates its RNA binding activity
Bibliographic record
Abstract
The RNA-binding protein p54(nrb) is involved in many nuclear processes including transcription, RNA processing, and retention of hyperedited RNAs. In interphase cells, p54(nrb) localizes to the nucleoplasm and concentrates with protein partners in the paraspeckles via an interaction with the non-coding RNA Neat1. During mitosis, p54(nrb) becomes multiphosphorylated and the effects of this modification are not known. In the present study, we show that p54(nrb) phosphorylation does not affect the interactions with its protein partners but rather diminishes its general RNA-binding ability. Biochemical assays indicate that in vitro phosphorylation of a GST-p54(nrb) construct by CDK1 abolishes the interaction with 5' splice site RNA sequence. Site-directed mutagenesis shows that the threonine 15 residue, located N-terminal to the RRM tandem domains of p54(nrb), is involved in this inhibition. In vivo analysis reveals that Neat1 ncRNA co-immunoprecipitates with p54(nrb) in either interphase or mitotic cells, suggesting that p54(nrb)-Neat1 interaction is not modulated by phosphorylation. Accordingly, in vitro phosphorylated GST-p54(nrb) still interacts with PIR-1 RNA, a G-rich Neat1 sequence known to interact with p54(nrb). In vitro RNA binding assays show that CDK1-phosphorylation of a GST-p54(nrb) construct abolishes its interaction with homoribopolymers poly(A), poly(C), and poly(U) but not with poly(G). These data suggest that p54(nrb) interaction with RNA could be selectively modulated by phosphorylation during mitosis.
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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) | 0.003 | 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".