Characterization of the <i>Drosophila</i> Gene‐Switch system in aging studies: a cautionary tale
Bibliographic record
Abstract
Genetic studies have shown that in many model organisms, single gene mutations can dramatically influence aging. Systems that allow researchers to control a gene's temporal and spatial expression pattern, known as inducible gene-expression systems, are a valuable asset for the study of the influence of single genes on aging. One inducible gene-expression system reported to allow temporal and tissue-specific control of gene expression in Drosophila is the Gene-Switch system. However, this system has not been extensively characterized in the context of aging research. This report uses six Gene-Switch strains to examine the tissue localization and amount of expression achievable in the major tissue types of the fly. The quantitative analysis of adult flies fed with inducer through life reveals that the levels of expression are influenced by both the inducer concentration and the age of the animal in a strain-specific manner. Furthermore, the relationship between inducer concentration and expression level is unique to each strain and, in some cases, to each gender. The analysis of the spatial expression patterns in several strains revealed expression in more tissue types than previously assumed. Finally, most Gene-Switch strains display expression in the absence of inducer during development and/or during adulthood. These findings have important implications that may reconcile contradictions reported in studies investigating the effects of dFOXO on longevity. This study is an important guide to the design and interpretation of aging studies based on the Gene-Switch system.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.008 |
| 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".