MKRN2 Physically Interacts with GLE1 to Regulate mRNA Export and Zebrafish Retinal Development
Bibliographic record
Abstract
The mammalian mRNA nuclear export process is thought to terminate at the cytoplasmic face of the nuclear pore complex through ribonucleoprotein remodeling. We conduct a stringent affinity-purification mass-spectrometry-based screen of the physical interactions of human RNA-binding E3 ubiquitin ligases. The resulting protein-interaction network reveals interactions between the RNA-binding E3 ubiquitin ligase MKRN2 and GLE1, a DEAD-box helicase activator implicated in mRNA export termination. We assess MKRN2 epistasis with GLE1 in a zebrafish model. Morpholino-mediated knockdown or CRISPR/Cas9-based knockout of MKRN2 partially rescue retinal developmental defects seen upon GLE1 depletion, consistent with a functional association between GLE1 and MKRN2. Using ribonomic approaches, we show that MKRN2 binds selectively to the 3' UTR of a diverse subset of mRNAs and that nuclear export of MKRN2-associated mRNAs is enhanced upon knockdown of MKRN2. Taken together, we suggest that MKRN2 interacts with GLE1 to selectively regulate mRNA nuclear export and retinal development.
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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) | 0.002 | 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".