Trafficking of green fluorescent protein tagged‐vesicular acetylcholine transporter to varicosities in a cholinergic cell line
Bibliographic record
Abstract
Synaptic vesicle proteins are suggested to travel from the trans-Golgi network to active zones via tubulovesicular organelles, but the participation of different populations of endosomes in trafficking remains a matter of debate. Therefore, we generated a green fluorescent protein (GFP)-tagged version of the vesicular acetylcholine transporter (VAChT) and studied the localization of VAChT in organelles in the cell body and varicosities of living cholinergic cells. GFP-VAChT is distributed to both early and recycling endosomes in the cell body and is also observed to accumulate in endocytic organelles within varicosities of SN56 cells. GFP-VAChT positive organelles in varicosities are localized close to plasma membrane and are labeled with FM4-64 and GFP-Rab5, markers of endocytic vesicles and early endosomes, respectively. A GFP-VAChT mutant lacking a dileucine endocytosis motif (leucine residues 485 and 486 changed to alanine residues) accumulated at the plasma membrane in SN56 cells. This endocytosis-defective GFP-VAChT mutant is localized primarily at the somal plasma membrane and exhibits reduced neuritic targeting. Furthermore, the VAChT mutant did not accumulate in varicosities, as did VAChT. Our data suggest that clathrin-mediated internalization of VAChT to endosomes at the cell body might be involved in proper sorting and trafficking of VAChT to varicosities. We conclude that genesis of competent cholinergic secretory vesicles depends on multiple interactions of VAChT with endocytic proteins.
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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 | 0.001 |
| 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".