Comparative lipidomics of <i>Pichia pastoris</i> using constitutive promoter reveals lipid diversity and variability at different growth phases
Bibliographic record
Abstract
Pichia pastoris is an expression platform widely used for foreign protein expression, while it is unknown how the global lipid profiles changed during the cultivation process, which is crucial for fermentation optimization and chassis design. Therefore, this study aimed to reveal the diverse lipid profiles of P. pastoris controlled by constitutive promoter of glyceraldehyde-3-phosphate dehydrogenase gene and to unravel their change in the lag, logarithmic, stationary, and death phases, using ultra-performance liquid chromatography/nano-electrospray ionization-tandem mass spectrometry. Two hundred forty lipid species across 11 lipid classes were detected, including various glycerolipids, glycerophospholipids, and sphingolipids. Pichia cells displayed high diversity and variability of lipids in lipid profile, relative intensity, phosphatidylinositol/phosphatidylserine ratio, fatty acid chain length, and unsaturation degree. Notably, increase of unsaturated triacylglycerol level was accompanied by rise of malondialdehyde level under oxidative stress. The increased ceramide with long fatty acid chain could be a key feature at death phase. This work deepened our understanding of the physiology of P. pastoris during cultivation and provided valuable information for further improvement of the P. pastoris expression system.
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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) | 0.000 | 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".