High-Throughput RNAi Screening for Germline Apoptosis Genes in <i>Caenorhabditis elegans</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Among the greatest tools that Caenorhabditis elegans can provide researchers are the capabilities to perform high-throughput, genome-wide screens. Using bacterial RNAi libraries, which cover the majority (>85%) of the worm genome, genes can be rapidly and systematically evaluated for apoptosis phenotypes in the germline. Screens can be designed to directly assess the levels of apoptotic corpses under normal physiological conditions using transgenic strains expressing fluorescent reporters that mark apoptotic bodies. Vital dyes that are selectively retained in apoptotic cells, such as acridine orange (AO), can also be used to screen for genes that regulate germline apoptosis. Using these reagents, screens can be performed in wild-type worms or mutant backgrounds that suppress or enhance apoptosis phenotypes. This protocol describes methods for designing and carrying out high-throughput or targeted RNAi screens for germline apoptosis regulators.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 it