Megakaryocyte and platelet abnormalities in a patient with a W33C mutation in the conserved SH3-like domain of myosin heavy chain IIA
Bibliographic record
Abstract
Heterozygous mutations in MYH9, which encodes non-muscle myosin heavy chain IIA (MHC-IIA), result in autosomal dominant inherited MYH9-related disorders characterised by macro-thrombocytopenia, granulocyte inclusions, variable sensorineural deafness, cataracts and nephritis. MHC-IIA is assembled into a complex consisting of two pairs of light chains and two heavy chains, where the latter contain a neck region, SH3-like, motor and rod domains. We describe a patient with a Trp33Cys missense mutation in the SH3-like domain of MHC-IIA. Abnormal platelet function was observed using platelet aggregometry with the agonists epinephrine and adenosine diphosphate (ADP). Patient granulocytes and megakaryocytes, but not platelets, contained abnormal MHC-IIA inclusions visualised by confocal immunofluorescence or electron microscopy. Megakaryocytes grown in culture were smaller and contained hypolobulated nuclei compared to controls. Bone marrow-derived megakaryocytes revealed a preponderance of immature forms, the presence of structurally diverse inclusion bodies, and frequent emperipolesis as assessed by electron microscopy. Platelets and leukocytes contained indistinguishable amounts of total MHC-IIA determined by immunoblotting. Molecular modelling studies indicated that mutation of Trp33 destabilises the interface between the SH3-like and motor domain of MHC-IIA, which is close to previously described motor domain mutations, implying an important structural and/or functional role for this region in MHC-IIA.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".