Genome-wide screen for novel regulators of Parkinson's disease genes in «Drosophila melanogaster»
Bibliographic record
Abstract
Introduction: Compromised mitochondrial integrity leads to neuronal cell death in Parkinson's disease and other neurodegenerative diseases. Cells have several quality control mechanisms in place to counteract dysfunction and preserve a healthy mitochondrial network. Recent studies have implicated the autosomal recessive Parkinson's disease genes, Parkin and Pink1, in a common pathway regulating mitochondrial quality control. Together, Parkin and Pink1 promote isolation and selective degradation of damaged mitochondria, but the mechanisms governing this process are unclear. Methods: The goal of our study was to use a genetically sensitized Drosophila model of Parkinson's disease to identify novel regulators of the Pink1/Parkin pathway. We screened deficiencies spanning the second and third chromosome for dominant enhancers and suppressors of the Pink1/parkin wing posture phenotype, which derives from mitochondrial defects in these mutants. Results: From this screen we identified several cytological regions that strongly interact with Parkin and/or Pink1. Of these, four were further dissected revealing five interacting genes. Among them, opa1 and drp1 have been previously implicated in the Pink1/Parkin pathway. The other three genes, p60, β4galNacTA, and debra, represent novel regulators of Parkin and Pink1 function. Conclusion/implications: The unbiased identification of previously known Pink1/Parkin interactors demonstrates the validity of this approach. Moreover, the discovery of novel genes involved in the Pink1/Parkin pathway will allow better understanding of the mechanisms governing mitochondrial quality control and will aid in the development of therapeutic treatments.
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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) | 0.002 | 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".