Bibliographic record
Abstract
Many cellular functions are compartmentalized within the optimized environments of organelles. However, processing or storage of metabolites from the same pathway can occur in multiple organelles. Thus, spatially separated organelles need to cooperate functionally. Coordination between organelles in different specialized cells is also needed, with shared metabolites passed via circulation. Peroxisomes are membrane-bounded organelles responsible for cellular redox and lipid metabolism in eukaryotic cells. Peroxisomes coordinate with other organelles including mitochondria, endoplasmic reticulum, lysosomes, and lipid droplets. This functional coordination requires, or is at least enhanced by, direct contact between peroxisomes and other organelles. Peroxisome dysfunction in humans leads to multiorgan effects including neurological, metabolic, developmental, and age-related diseases. Thus, increased understanding of peroxisome coordination with other organelles, especially cells in various organs is essential. Drosophila melanogaster (fruit fly) has emerged recently as an effective animal model for understanding peroxisomes. Here we review current knowledge of pathways regulating coordination between peroxisomes with other organelles in flies, speculating about analogous roles for conserved Drosophila genes encoding proteins with known organelle coordinating roles in other species.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".