Glycerophosphocholine Catabolism as a New Route for Choline Formation for Phosphatidylcholine Synthesis by the Kennedy Pathway
Bibliographic record
Abstract
In eukaryotes, neuropathy target esterase (Nte1p in yeast) deacylates phosphatidylcholine derived exclusively from the CDP-choline pathway to produce glycerophosphocholine (GroPCho) and release two fatty acids. The metabolic fate of GroPCho in eukaryotic cells is currently not known. Saccharomyces cerevisiae contains two open reading frames predicted to contain glycerophosphodiester phosphodiesterase domains, YPL110c and YPL206c. Pulse-chase experiments were conducted to monitor GroPCho metabolic fate under conditions known to alter CDP-choline pathway flux and consequently produce different rates of formation of GroPCho. From this analysis, it was revealed that GroPCho was metabolized to choline, with this choline serving as substrate for renewed synthesis of phosphatidylcholine. YPL110c played the major role in this metabolic pathway. To extend and confirm the metabolic studies, the ability of the ypl110cDelta and ypl206cDelta strains to utilize exogenous GroPCho or glycerophosphoinositol as the sole source of phosphate was analyzed. Consistent with our metabolic profiling, the ypl206cDelta strain grew on both substrates with a similar rate to wild type, whereas the ypl110cDelta strain grew very poorly on GroPCho and with moderately reduced growth on glycerophosphoinositol.
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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 | 0.001 | 0.001 |
| 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".