Identification of the Novel TRAPP Associated Protein Tca17
Bibliographic record
Abstract
Vesicle tethers are long coiled-coil proteins or multisubunit complexes that provide specificity to the membrane fusion process by linking cargo-containing vesicles to target membranes. Transport protein particle (TRAPP) is a well-characterized multisubunit tethering complex that acts as a GTP exchange factor and is present in two cellular forms: a 7 subunit TRAPP I complex required for ER-to-Golgi transport, and a 10 subunit TRAPP II complex that mediates post-Golgi trafficking. In this work, we have identified Tca17, which is encoded by the non-essential ORF YEL048c, as a novel binding partner of the TRAPP complex. Loss of Tca17 or any of the non-essential TRAPP subunits (Trs33, Trs65 and Trs85) leads to defects in the Golgi-endosomal recycling of Snc1. We show that Tca17, a Sedlin_N family member similar to the TRAPP subunit Trs20, interacts with the TRAPP complex in a Trs33- and Trs65-dependent manner. Mutation of TCA17 or TRS33 perturbs the association of Trs65 with the rest of the TRAPP complex and alters the localization of the Rab GTPase Ypt31. These data support a model in which Tca17 acts with Trs33 and Trs65 to promote the assembly and/or stability of the TRAPP complex and regulate its activity in post-Golgi trafficking events.
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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".