Characterization of the localization and function of NECAP 1 in neurons
Bibliographic record
Abstract
NECAPs (adaptin ear-binding clathrin-associated protein) are a new family of clathrin accessory proteins identified through a proteomic analysis of clathrin-coated vesicles (CCVs) from the brain. One member of this family, NECAP 1, is found primarily in tissues from the central nervous system and has been shown to be complexed tightly with a substantial portion of adaptor protein-2 (AP-2) in brain extracts. However, the function and intracellular location of this protein is unknown. In this study, we find that endogenous and epitope-tagged NECAP 1 co-localizes well with clathrin and AP-2 in punctate structures, many of which also contain the presynaptic markers synaptophysin, synaptotagmin or synaptic vesicle protein 2 (SV2). NECAP 1 was also detected by western blot in synaptic vesicle preparations. Overexpression of a truncation mutant of NECAP 1 (BC-NECAP 1) in neurons inhibited transferrin endocytosis but not epidermal growth factor (EGF) endocytosis, and this inhibition was dependent on an AP-2-binding WVQF motif. Moreover, overexpression of BC-NECAP 1 results in inhibition of synaptotagmin endocytosis both in unstimulated neurons and in neurons stimulated with potassium chloride. This inhibition was abrogated by truncation of the WVQF domain. We conclude from these observations that NECAP 1 plays a role in clathrin-mediated neuronal endocytosis, including a role in presynaptic endocytosis.
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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 | 0.001 | 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".