Endosomal sorting of VAMP3 is regulated by Phosphatidylinositol 4‐kinase IIa
Bibliographic record
Abstract
Membrane fusion along endocytic pathways is directly dependent on proper distribution of Soluble NSF‐attachment receptors (SNAREs). Although SNAREs are fairly promiscuous in vitro , significant specificity is achieved in vivo through spatial segregation and shielding of SNAREs prior to cognate Q‐SNARE binding. In particular, long R‐SNAREs are capable of autoinhibition, while short R‐SNAREs were shown to associate with phospholipids on vesicular membranes in vitro . However the exact regulation of this process and the potential lipid binding preference in vivo remains elusive. Here we have identified PtdIns4 P kinase PI4KIIa as a binding partner of VAMP3, a small recycling R‐SNARE. PI4KIIa depletion resulted in accumulation of VAMP3 on endosomal compartments, inhibited VAMP3 trafficking to perinuclear membranes and reduced the rate of VAMP3‐mediated transferrin recycling. Similarly, acute depletion of PtdIns4 P on endosomes significantly impaired VAMP3 sorting. In addition, VAMP3 association with its cognate Q‐SNARE Vti1a decreased upon PI4KIIa depletion. Taken together, these findings reveal a role for phospholipids in small R‐SNARE sorting, corroborating previous in vitro findings. Direct interaction with the lipid kinase PI4KIIa can, therefore, guarantee a localized supply of PtdIns4P to support the lipid requirement of endosomal SNARE function. Supported by the NICHD Intramural program
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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 | 0.001 |
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".