Nuclear import of human MLH1, PMS2, and MutLα: Redundancy is the key
Why this work is in the frame
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Bibliographic record
Abstract
DNA mismatch repair maintains genomic stability by correcting errors that have escaped polymerase proofreading. Defects on mismatch repair genes lead to an increased mutation rate, microsatellite instability and predisposition to human non-polyposis colorectal cancer (HNPCC). Human MutLalpha is a heterodimer formed by the interaction of MLH1 and PMS2 that coordinates a series of key events in mismatch repair. It has been proposed that nuclear import of MutLalpha may be the first regulatory step on the activation of the mismatch repair pathway. Using confocal microscopy and mismatch repair deficient cells, we have identified the sequence determinants that drive nuclear import of human MLH1, PMS2, and MutLalpha. Transient transfection of the individual proteins reveals that MLH1 has a bipartite and PMS2 has a single monopartite nuclear localization signal. Although dimerization is not required for nuclear localization, the MutLalpha heterodimer is imported more efficiently than the MLH1 or PMS2 monomers. Interestingly, the bipartite localization signal of MLH1 can direct import of MutLalpha even when PMS2 encompasses a mutated localization signal. Hence we conclude that the presence of redundant nuclear localization signals guarantees nuclear transport of MutLalpha and, consequently, efficient mismatch repair.
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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 | 0.000 | 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) | 0.000 | 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 it