Nuclear Export of ERK3 by a CRM1-dependent Mechanism Regulates Its Inhibitory Action on Cell Cycle Progression
Bibliographic record
Abstract
Extracellular signal-regulated kinase 3 (ERK3) is an atypical member of the mitogen-activated protein kinase family of serine/threonine kinases. Little is known on the regulation of ERK3 function. Here, we report that ERK3 is constitutively localized in the cytoplasmic and nuclear compartments. In contrast to other mitogen-activated protein kinases, the cellular distribution of ERK3 remains unchanged in response to common mitogenic or stress stimuli and is independent of the enzymatic activity or phosphorylation of the kinase. The cytoplasmic localization of ERK3 is directed by a CRM1-dependent nuclear export mechanism. Treatment of cells with leptomycin B causes the nuclear accumulation of ERK3 in a high percentage of cells. Moreover, ectopic expression of CRM1 promotes the cytoplasmic relocalization of ERK3, whereas overexpression of snurportin 1, which binds CRM1 with high affinity, inhibits the nuclear export of ERK3. We also show that CRM1 binds to ERK3 in vitro. Importantly, we show that enforced localization of ERK3 in the nucleus or cytoplasm markedly attenuates the ability of the kinase to induce cell cycle arrest in fibroblasts. Our results suggest that nucleocytoplasmic shuttling of ERK3 is required for its negative regulatory effect on cell cycle progression.
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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 | 0.001 |
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".