Uip4 governs growth phase dependent organelle remodeling by modulating <i>Saccharomyces cerevisiae</i> lipidome
Bibliographic record
Abstract
Abstract When yeast cells are exposed to nutrient-limiting conditions, they undergo transcriptional and translational reprogramming that results in the remodelling of metabolite utilization and organelle architecture. Organelle membranes and contacts also undergo structural and functional alterations. In the budding yeast Saccharomyces cerevisiae, regulated expression of Uip4 is shown to be a critical effector of nuclear shape and function, particularly during the stationary phase. In this work, we demonstrate that the absence of UIP4 affects the morphology of multiple other organelles including mitochondria, endoplasmic reticulum, vacuole and the distribution of lipid droplets. The results show that modulating carbon source, nitrogen availability and cellular energy state impact Uip4 expression. This expression of Uip4 is controlled by the transcription factor Msn2, downstream of Sch9 signaling pathway. Cells lacking Uip4 have poor survival in the stationary phase of the growth cycle. These cellular changes are concomitant with dysregulation of the global lipidome profile and aberrant organelle interaction. We propose that the dynamic and regulated expression of Uip4 is required to maintain lipid homeostasis and organelle architecture which is ultimately required to survive in nutrient limiting conditions such as stationary phase.
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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) | 0.001 | 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".