A human homologue of <i>Drosophila</i> kelch associates with myosin‐VIIa in specialized adhesion junctions
Bibliographic record
Abstract
Mutations in myosin-VIIa are responsible for the deaf-blindness, Usher disease. Myosin-VIIa is also highly expressed in testis, where it is associated with specialized adhesion plaques termed ectoplasmic specializations (ES) that form between Sertoli cells and germ cells. To identify new roles for myosin-VIIa, we undertook a yeast two-hybrid screen to identify proteins associated with myosin-VIIa in the ES. We identified Keap1, a human homologue of the Drosophila ring canal protein, kelch. The kelch-repeats in the C-terminus of human Keap1 associate with the SH3 domain of myosin-VIIa. Immunolocalization studies revealed that Keap1 is present with myosin-VIIa in the actin bundles of the ES. Myosin-VIIa and Keap1 copurify with ES and colocate with each other and with F-actin at the electron microscopy level. Interestingly, in many epithelial cell types including cells derived from retina and inner ear, Keap1 is a component of focal adhesions and zipper junctions. Keap1 can target to the ES in the absence of myosin-VIIa, suggesting that Keap1 associates with other molecules in the adhesion plaque. Keap1 and myosin-VIIa overlapped in expression in the inner hair cells of the cochlea, suggesting that Keap1 may be a part of a family of actin-binding proteins that could be important for myosin-VIIa function in testis and inner ear.
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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) | 0.004 | 0.002 |
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".