GFP-based screen for meiotic mutants in «C. elegans»
Bibliographic record
Abstract
Meiosis causes the reduction of diploid cells into haploid gametes playing a significant role in all sexually reproducing organisms. The progression of meiosis can be broken down into two stages: meiosis-I and meiosis-II. In meiosis-I, homologous chromosomal segregation results in the formation of a chiasma – a secure connection between homologs. Establishing a chiasma requires three major landmarks between homologous chromosomes: recognition and alignment, synapsis, and recombination. A defect in any one of these key events can cause chromosomal non-disjunction or cell aneuploidy. The nematode Caenorhabditis elegans has many attributes that make it a well-suited model for studying various aspects of meiosis. The germ-line nuclei mature in a spatiotemporal manner, and the nuclei are easily distinguishable, during their progression of meiotic prophase-I, through DAPI staining. Should a mutation impair homologous chromosomal segregation of the X-chromosome the progeny of the animal will bear a visibly higher percentage of males, presenting a 'High Incidence of Males', or a 'Him', phenotype. The goal of this study is to screen, identify, and isolate more Him mutations by building on the screen "Green Eggs and Him". Nineteen Him mutants have been isolated, and 17 studied, in this project. DAPI staining has allowed the categorization of the mutants into: cell cycle, pairing, synapsis, or recombination defective mutants. Measuring autosomal and X-chromosome non-disjunction levels have allowed for an additional severity-level categorization for each of the seventeen mutations found. 4 mutations were found to be severe, 3 as severe/moderate, 2 moderate, 4 as moderate/low, and 4 were categorized as low-severity mutations. 9 of the 17 mutations were determined as having recombination deficiencies; 5 as pairing/synapsis defects – where the deficiency could be in just one of the processes, or compounded in both;
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".