Calnuc Binds to LRP9 and Affects its Endosomal Sorting
Bibliographic record
Abstract
Calnuc is an ubiquitous Ca(++)-binding protein found in the cytoplasm where it binds different Galpha subunits, in the Golgi lumen where it constitutes a major Ca(++) storage pool, and outside the cell. We identified LDLR-related protein 9 (LRP9) as the first transmembrane protein shown to interact directly with Calnuc. LRP9 is a member of a new subfamily of the LDLR superfamily that cycles between the trans-Golgi network (TGN) and endosomes through a mechanism dependent on clathrin adaptor GGA proteins. The aim of the present study was to characterize the interaction between Calnuc and LRP9. Various biochemical assays showed that the N-terminus of Calnuc interacts with an arginine-rich region in the cytosolic tail of LRP9. Confocal microscopy showed that Calnuc colocalizes with LRP9 at the surface of the TGN and early endosomes. Depletion of Calnuc by small interfering RNA (siRNA) missorted LRP9 in the late endosome/lysosome compartments and enhanced its lysosomal degradation. This phenotype was rescued by the expression of siRNA-resistant wild-type Calnuc as well as cytoplasmic Calnuc, indicating that the cytoplasmic pool of Calnuc is involved in LRP9 endosomal sorting to prevent the delivery of LRP9 to lysosomes. This is the first report showing that Calnuc plays a role in receptor trafficking.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".