Interaction of prostate specific membrane antigen with clathrin and the adaptor protein complex-2
Bibliographic record
Abstract
Prostate-specific membrane antigen (PSMA) is an integral membrane glycoprotein expressed in prostatic epithelia and is being evaluated as a therapeutic target in prostate cancer. It undergoes constitutive receptor-mediated endocytosis via clathrin-coated pits, which is enhanced in the presence of monoclonal antibodies directed against it. We describe distinct interactions of PSMA with clathrin and the clathrin adaptor protein-2 (AP-2) complex, two components of clathrin-coated pits. The intracellular N-terminal domain of PSMA interacts with the N-terminal globular domain of clathrin heavy chain. Deletion analysis revealed an important determinant of this interaction residing within the proximal portion of the clathrin heavy chain N-terminal domain (amino acids 1-85) distinct from the clathrin binding sites of other known clathrin-binding proteins. Furthermore, PSMA interacts with the ear domain of alpha-adaptin (an AP-2 subunit), and a glutamic acid residue at position 7 in the cytoplasmic tail of PSMA is essential for this interaction. These data indicate that PSMA exhibits a high affinity, specific association with the clathrin-based endocytic machinery by distinct interactions with both clathrin and AP-2. Thus, although PSMA is a new member of the dual AP and clathrin binding proteins, its alpha-adaptin and clathrin heavy chain binding determinants are distinct from those of other members.
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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 | 0.000 |
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 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".