Functional characterization of novel mutations in GNPAT and AGPS, causing rhizomelic chondrodysplasia punctata (RCDP) types 2 and 3
Bibliographic record
Abstract
Rhizomelic chondrodysplasia punctata (RCDP) is a disorder of peroxisome metabolism resulting from a deficiency of plasmalogens, a specialized class of membrane phospholipids. Classically, patients have a skeletal dysplasia and profound mental retardation, although milder phenotypes are increasingly being identified. It is commonly caused by defects in the peroxisome transporter, PEX7 (RCDP1), and less frequently due to defects in the peroxisomal enzymes required to initiate plasmalogen synthesis, GNPAT (RCDP2) and AGPS (RCDP3). PEX7 transports AGPS into the peroxisome, where AGPS and GNPAT partner on the luminal membrane surface. The presence of AGPS is thought to be required for GNPAT activity. We present six additional probands with RCDP2 and RCDP3, and the novel mutations identified in them. Using cell lines from these and previously reported patients, we compared the amounts of both AGPS and GNPAT proteins present for the first time. We used protein modeling to predict the structural consequences of AGPS mutations and transcript analysis to predict consequences of GNPAT mutations, and show that milder RCDP phenotypes are likely to be associated with residual protein function. In addition, we propose that full GNPAT activity depends not only on the presence of AGPS, but also on the integrity of substrate channeling from GNPAT to AGPS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".