Increased phospholipid transfer protein activity in<i>Aspergillus oryzae</i>grown on various industrial phospholipid sources
Bibliographic record
Abstract
The effect of industrial carbon sources on phospholipid transfer protein production was investigated. Phospholipid fractions of different composition were prepared from various plant oils (i.e., soybean, rapeseed, and sunflower) according to the Lucas Meyer extraction and purification process. The effect of these fractions on phospholipid transfer protein activity of cell extracts from Aspergillus oryzae grown on medium containing these phospholipids as sole carbon source was studied. It was shown that phospholipid transfer activity was markedly increased by extracts containing a particular phospholipid composition. However, this stimulation depends mainly upon the phospholipid composition of the fraction used as fermentation substrate. Fractions enriched mainly in phosphatidylinositol (Epikuron 110), at the expense of phosphatidylcholine, were the most efficient sources for phospholipid transfer protein production by A. oryzae. Maximal phospholipid transfer activity, as well as biomass production, were increased 4.1- and 9.7-fold, respectively, when cultures were supplemented with Epikuron 110 prepared from sunflower lecithin, as compared to glucose-control cultures.
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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) | 0.001 | 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".