TRAPPC2L is a Novel, Highly Conserved TRAPP‐Interacting Protein
Bibliographic record
Abstract
Mutations in the trafficking protein particle complex C2 protein (TRAPPC2), a mammalian ortholog of yeast Trs20p and a component of the trafficking protein particle (TRAPP) vesicle tethering complex, have been linked to the skeletal disorder spondyloepiphyseal dysplasia tarda (SEDT). Intriguingly, the X-linked TRAPPC2 is just one of a complement of Trs20-related genes in humans. Here we characterize TRAPPC2L, a novel, highly conserved TRAPP-interacting protein related to TRAPPC2 and the uncharacterized yeast open reading frame YEL048c. TRAPPC2L and TRAPPC2 genes are found in pairs across species and show broad and overlapping expression, suggesting they are functionally distinct, a notion supported by yeast complementation studies and biochemical characterization. RNA interference-mediated knockdown of either TRAPPC2L or TRAPPC2 in HeLa cells leads to fragmentation of the Golgi, implicating both proteins in Golgi dynamics. Gradient fractionation of cellular membranes indicates that TRAPPC2L is found with a portion of cellular TRAPP on very low-density membranes whereas the remainder of TRAPP, but not TRAPPC2L, is found associated with Golgi markers. YEL048c displays genetic interactions with TRAPP II-encoding genes and the gene product co-fractionates with and interacts with yeast TRAPP II. Taken together these results indicate that TRAPPC2L and its yeast ortholog YEL048c are novel TRAPP-interacting proteins that may modulate the function of the TRAPP II complex.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 | 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".