Characterization of CG34126: the Drosophila melanogaster homologue of a novel Parkinson Disease gene
Bibliographic record
Abstract
Parkinson Disease (PD) is a progressive and debilitating neurodegenerative disease characterized by the inadequate function or the loss of dopamine-producing neurons in the human midbrain. PD has a complex etiology including aberrant protein inclusion, mitochondrial dysfunction, oxidative stress, and defects in protein trafficking, which may occur due to genetic or non-genetic factors. Recently identified PD causative genes can be evaluated in model organisms, through which pathophysiological interactions with previously discovered PD genes may be determined. A new gene associated with PD, UHRF1BP1L, has a putative role in mitochondrial dynamics and protein homeostasis, similar to several other well-established PD genes. I investigated CG34126, the only homologue of UHRF1BP1L in Drosophila melanogaster, in an attempt to model PD using the UAS-GAL4 system of inducible gene expression in the dopaminergic neurons as well as during the development of the eye. In brief, RNAi-mediated knockdown of CG34126 can reduce lifespan and locomotor ability over time, and the overexpression of CG34126 directed by the Dopa decarboxylase (Ddc)-Gal4 transgene leads to reduced longevity and climbing ability throughout life. However, overexpression of CG34126 partially rescues the parkin-RNA-interference model of PD by increasing both longevity and locomotor ability over time. No neurodevelopmental defect was observed through a detailed biometric analysis of eye phenotypes, either from overexpression or knockdown of CG34126. As the altered ectopic expression of CG34126 can either positively or negatively influence ageing and locomotion, the consequences of altering UHRF1BP1L function in the fly contributes a better understanding of PD and general ageing mechanisms.
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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 | 0.001 |
| 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".