The role of <i>Peroxin 7</i> during <i>Drosophila</i> embryonic development
Bibliographic record
Abstract
Peroxisomes are organelles in eukaryotic cells responsible for processing several types of lipids and management of reactive oxygen species. A conserved family of peroxisome biogenesis (Peroxin, Pex) genes encode proteins essential to peroxisome biogenesis or function. In yeast and mammals, PEROXIN7 (PEX7) acts as a cytosolic receptor protein that targets enzymes containing a peroxisome targeting signal 2 (PTS2) motif for peroxisome matrix import. The PTS2 motif is not present in the Drosophila melanogaster homologs of these enzymes. However, the fly genome contains a Pex7 gene (CG6486) that is very similar to yeast and human PEX7. We find that Pex7 is expressed in tissue-specific patterns analogous to differentiating neuroblasts in D. melanogaster embryos. This is correlated with a requirement for Pex7 in this cell lineage as targeted somatic Pex7 knockout in embryonic neuroblasts reduced survival. We also found that Pex7 over-expression in the same cell lineages caused lethality during the larval stage. Targeted somatic over-expression of a Pex7 transgene in neuroblasts of Pex7 homozygous null mutants resulted in a semi-lethal phenotype similar to targeted Pex7 knockout. These findings suggest that D. melanogaster has tissue-specific requirements for Pex7 during embryo development.
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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 | 0.000 |
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".