Characterization of the Mutant N-Acetylglucosaminylphosphotransferasein I-Cell Disease and Pseudo-Hurler Polydystrophy:Complementation Analysis and Kinetic Studies
Bibliographic record
Abstract
Complementation was examined among various types of I-cell disease and pseudo-Hurler polydystrophy by monitoring N-acetylglucosaminylphosphotransferase activity in multinucleated cells produced by fusing pair combinations of cultured skin fibroblasts. Patients with the classical forms of these disorders (5 I-cell disease and 3 pseudo-Hurler polydystrophy cell lines) comprised one complementation group and 5 cell lines from patients with variant forms of pseudo-Hurler polydystrophy comprised a distinct complementation group. In the first group, total or partial deficiency of the transferase activity was demonstrated with both natural (lysosomal enzymes) and artificial (alpha-methylmannoside) acceptor substrates with low Vmax but apparently normal Km values for the donor (UDP-GlcNAc) and acceptor (alpha-methylmannoside) substrates. The activity toward artificial substrate could be inhibited by adding exogenous lysosomal enzyme preparations to the reaction mixture. In the second group, the cells demonstrated deficiency of the transferase activity toward lysosomal enzyme acceptors but had normal activity toward alpha-methylmannoside acceptor and this activity could not be inhibited by the addition of exogenous lysosomal enzyme preparations. These findings suggest that N-acetylglucosaminylphosphotransferase is composed of at least two distinct subunits, a catalytic subunit which is absent or defective in the first complementation group, and a recognition subunit which is altered or deficient in the second group.
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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".