NLS-dependent nuclear localization of p120<i>ctn</i>is necessary to relieve Kaiso-mediated transcriptional repression
Bibliographic record
Abstract
The Armadillo catenin p120(ctn) regulates cadherin adhesive strength at the plasma membrane and interacts with the novel BTB/POZ transcriptional repressor Kaiso in the nucleus. The dual localization of p120(ctn) at cell-cell junctions and in the nucleus suggests that its nucleocytoplasmic trafficking is tightly regulated. Here we report on the identification of a specific and highly basic nuclear localization signal (NLS) in p120(ctn). The functionality of the NLS was validated by its ability to direct the nuclear localization of a heterologous beta-galactosidase-GFP fusion protein. Mutating two key positively charged lysines to neutral alanines in the NLS of full-length p120(ctn) inhibited both p120(ctn) nuclear localization as well as the characteristic p120(ctn)-induced branching phenotype that correlates with increased cell migration. However, while these findings and others suggested that nuclear localization of p120(ctn) was crucial for the p120(ctn)-induced branching phenotype, we found that forced nuclear localization of both wild-type and NLS-mutated p120(ctn) did not induce branching. Recently, we also found that one role of p120(ctn) was to regulate Kaiso-mediated transcriptional repression. However, it remained unclear whether p120(ctn) sequestered Kaiso in the cytosol or directly inhibited Kaiso transcriptional activity in the nucleus. Using minimal promoter assays, we show here that the regulatory effect of p120(ctn) on Kaiso transcriptional activity requires the nuclear translocation of p120(ctn). Therefore, an intact NLS in p120(ctn) is requisite for its first identified regulatory role of the transcriptional repressor Kaiso.
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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 | 0.001 |
| 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".