Sweeping Model of Dynamin Activity
Bibliographic record
Abstract
Vesicle recycling through exocytosis and endocytosis is mediated by a coordinated cascade of protein-protein interactions. Previously, exocytosis and endocytosis were studied separately so that the coupling between them was understood only indirectly. We focused on the coupling of these processes by observing the secretory vesicle marker synaptobrevin and the endocytotic vesicle marker dynamin I tagged with green and red fluorescent proteins under an evanescent wave microscope in pheochromocytoma cells. In control cells, many synaptobrevin-expressing vesicles were found as fluorescent spots near the plasma membrane. Upon electrical stimulation, many of these vesicles showed an exocytotic response as a transient increase in fluorescence intensity followed by their disappearance. In contrast, fluorescent dynamin appeared as clusters increasing slowly in number upon stimulation. The clusters of fluorescent dynamin moved around beneath the plasma membrane for a significant distance. Simultaneous observations of green fluorescent dynamin and red fluorescent synaptobrevin indicated that more than 70% of the exocytotic responses of synaptobrevin had no immediate dynamin counterpart at the same site. From these findings it was concluded that dynamin-mediated recycling is not directly coupled to exocytosis but rather completed by a scanning movement of dynamin for the sites of invaginating membrane destined to 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".