Nuclear import of the BTB/POZ transcriptional regulator Kaiso
Bibliographic record
Abstract
Kaiso is a BTB/POZ transcription factor that functions in vitro as a transcriptional repressor of the matrix metalloproteinase gene matrilysin and the non-canonical Wnt signaling gene Wnt-11, and as an activator of the acetylcholine-receptor-clustering gene rapsyn. Similar to other BTB/POZ proteins (e.g. Bcl-6, PLZF, HIC-1), endogenous Kaiso localizes predominantly to the nuclei of mammalian cells. To date, however, the mechanism of nuclear import for most POZ transcription factors, including Kaiso, remain unknown. Here, we report the identification and characterization of a highly basic nuclear localization signal (NLS) in Kaiso. The functionality of this NLS was verified by its ability to target a heterologous beta-galactosidase/green-fluorescent-protein fusion protein to nuclei. The mutation of one positively charged lysine to alanine in the NLS of full-length Kaiso significantly inhibited its nuclear localization in various cell types. In addition, wild-type Kaiso, but not NLS-defective Kaiso, interacted directly with the nuclear import receptor Importin-alpha2 both in vitro and in vivo. Finally, minimal promoter assays using a sequence-specific Kaiso-binding-site fusion with luciferase as reporter demonstrated that the identified NLS was crucial for Kaiso-mediated transcriptional repression. The identification of a Kaiso NLS thus clarifies the mechanism by which Kaiso translocates to the nucleus to regulate transcription of genes with diverse roles in cell growth and development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 0.000 |
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 teacher head, 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".