Complementation studies in the <i>cblA</i>class of inborn error of cobalamin metabolism: evidence for interallelic complementation and for a new complementation class (<i>cblH</i>)
Bibliographic record
Abstract
AIM: To investigate genetic heterogeneity within the cblA class of inborn error of cobalamin metabolism. CONTEXT: The cblA disorder is characterised by vitamin B12 (cobalamin) responsive methylmalonic aciduria and deficient synthesis of adenosylcobalamin, required for activity of the mitochondrial enzyme methylmalonyl CoA mutase. The cblA gene has not been identified or cloned. We have previously described a patient with the clinical and biochemical phenotype of the cblA disorder whose fibroblasts complemented cells from patients with all known types of inborn error of adenosylcobalamin synthesis, including cblA. METHODS: We have performed somatic cell complementation analysis of the cblA variant fibroblast line with a panel of 28 cblA lines. We have also performed detailed complementation analysis on a panel of 10 cblA fibroblast lines, not including the cblA variant line. RESULTS: The cblA variant line complemented all 28 cell lines of the panel. There was evidence for interallelic complementation among the 10 cblA lines used for detailed complementation analysis; no cell line in this panel complemented all other members. CONCLUSIONS: These results strongly suggest that the cblA variant represents a novel complementation class, which we have designated cblH and which represents a mutation at a distinct gene. They also suggest that the cblA gene encodes a protein that functions as a multimer, allowing for extensive interallelic complementation.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".