A screen for suppressors of apoptosis identifies a novel gain of function mutation in drosphilia RAS1s
Bibliographic record
Abstract
Background: Apoptosis is a morphologically distinct, genetically programmed form of cell death that is evolutionarily highly conserved amongst multi-cellular eukaryotes. Correct regulation of apoptosis is critical for normal development and the prevention of diseases, such as cancer. Genetic analysis of invertebrate model organisms has proven invaluable for the identification and study of key molecules involved in apoptosis. In Drosophila, the proteins Reaper (Rpr), Head involution defective (Hid) and Grim induce cell death in a caspase dependent manner by inhibiting the anti-apoptotic function of diap1. Methods: To further elucidate the molecular mechanisms underlying the control of apoptosis, we conducted a dominant modifier screen for genes that could suppress the strong eye ablation phenotype caused by expressing hid under the control of an eye-specific promoter. Results: As previously reported, we identified several loss of function mutants in components of the EGFR/Ras/MAPK pathway that could dominantly suppress hid-induced apoptosis. These mutants proved to be alleles of either sprouty or gap1, two negative regulators of the RTK/Ras1 signaling. Here we report the identification and characterization of the first gain of function mutation in the Drosophila RAS1 gene. Conclusions: Taken together, these findings provide a molecular paradigm for the anti-apoptotic function of ras oncogenes.
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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 | 0.001 | 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".