Protein kinase D1 and oxysterol‐binding protein form a regulatory complex independent of phosphorylation
Bibliographic record
Abstract
Protein kinase D (PKD) controls secretion from the trans-Golgi network (TGN) by phosphorylating phosphatidylinositol 4-kinase IIIβ and proteins that bind and/or transfer phosphatidylinositol 4-phosphate (PtdIns-4P), such as oxysterol-binding protein (OSBP) and ceramide transfer protein. Here, we investigated the consequences of PKD phosphorylation of OSBP at endoplasmic reticulum (ER)-Golgi membrane contact sites (MCS). Results with OSBP phospho-mutants revealed that PKD phosphorylation did not affect sterol and PtdIns-4P binding, activation of sphingomyelin (SM) synthesis at Golgi-ER MCS or other OSBP phospho-sites. Instead, an interaction was identified between the N-terminal region of OSBP and PKD1 that was independent of kinase activity and OSBP phosphorylation status. S916 autophosphorylation of PKD1 was inhibited by OSBP expression suggesting the interaction negatively regulates PKD1 activity. Stimulation of PKD1 activity by phorbol ester promoted the Golgi-localization of wild-type and phospho-mutants of OSBP but did not affect OSBP-dependent SM synthesis. Only when wild-type or kinase-dead PKD1 was overexpressed was 25-hydroxycholesterol-activated SM synthesis inhibited. We conclude that OSBP and PKD1 form a complex that inhibits both the oxysterol-dependent activity of OSBP at the ER-Golgi and activation of PKD1. Formation of the complex was independent of PKD1 activity and phosphorylation of OSBP.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".