Requirement of VPS33B, a member of the Sec1/Munc18 protein family, in megakaryocyte and platelet -granule biogenesis
Bibliographic record
Abstract
Bleeding problems are associated with defects in platelet alpha-granules, yet little is known about how these granules are formed and released. Mutations affecting VPS33B, a novel Sec1/Munc18 protein, have recently been linked to arthrogryposis, renal dysfunction, and cholestasis (ARC) syndrome. We have characterized platelets from patients with ARC syndrome and observed reduced aggregation with arachidonate and adenosine diphosphate (ADP). Structural abnormalities seen in ARC platelets included increased platelet size, a pale appearance in blood films, elevated numbers of delta-granules, and completely absent alpha-granules. Soluble and membrane-bound alpha-granule proteins were significantly decreased or undetectable in ARC platelets, suggesting that both the releasable protein pools and membrane components of alpha-granules were absent. The role of VPS33B in platelet granule biogenesis was evaluated by immunofluorescence microscopy in normal human megakaryocytes. VPS33B colocalized appreciably with markers of alpha-granules, moderately with late endosomes/lysosomes, minimally with delta-granules/lysosomes, and not with cis-Golgi complexes. VPS33B protein expression determined by immunoblotting confirmed the presence of VPS33B in control fibroblasts but not in ARC fibroblasts, and in normal megakaryocytes but not in platelets. We conclude that like other Sec1/Munc18 proteins, VPS33B is involved in intracellular vesicle trafficking, being essential for the development of platelet alpha-granules but not for granule secretion.
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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 | 0.000 |
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".