Identification and Characterization of Human Cdc7 Nuclear Retention and Export Sequences in the Context of Chromatin Binding
Bibliographic record
Abstract
The Cdc7 serine/threonine kinase activates the initiation of DNA replication by phosphorylating MCM proteins that are bound to the origins of DNA replication. We reported previously that human Cdc7 nuclear import is mediated directly by importin-beta through its binding to the Cdc7 nuclear localization sequence (NLS). Here, we report that human Cdc7 nuclear localization is regulated by two additional elements: nuclear retention (NRS) and export sequences (NES). Cdc7 proteins imported into the nucleus are retained in the nucleus by associating with chromatin, for which NRS-(306-326) is essential. Importantly, this binding appears to be specific to the origin of DNA replication, because the binding of wild-type Cdc7 to origin is 2.4-fold higher than to non-origin DNA. Furthermore, an NRS-defective Cdc7 mutant could not be retained in the nucleus, although it was imported into the nucleus normally. Together, our data suggest that NRS plays an important role in the activation of DNA replication by Cdc7. The Cdc7 proteins unassociated with chromatin are bound by CRM1 via two NES elements: NES1 at 458-467 within kinase insert III, and NES2 at 545-554 within the kinase IX domain. The primary function of the Cdc7-CRM1 association may be to translocate nuclear Cdc7 to the cytoplasm. However, the binding of CRM1 with Cdc7 at NES2 raises an interesting possibility that CRM1 may also down-regulate Cdc7 by masking its kinase domain.
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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".