5. Uncontrolled Cell Division and Migration of Q neuroblasts in mutant strains of C. elegans
Bibliographic record
Abstract
Cancer is one of the most prevalent and deadly diseases in today's society, affecting millions of people around the globe. Uncontrolled cell division and migration which are two of the six major hallmarks of cancer have been studied extensively in vitro, however in vivo these hallmarks are not well understood. We used the Caenorhabditis elegans nematode worm as our model organism in order to study these two hallmarks. In unfavorable environmental conditions such as starvation, C. elegans can enter a developmental arrest in where certain cell metabolism ceases to continue, this stage is known as L1 arrest. Normally in L1 arrested worms, there are 2 distinct Q neuroblast cells which are precursors of sensory and interneurons that do not divide and migrate. However, when we mutate certain genes, we noticed that the two Q neuroblasts inappropriately divided and migrated, this suggests that we have identified a good model to study uncontrolled cell division and migration. We have already found one gene that when mutated, results in the Q neuroblasts inappropriately dividing and migrating at L1 arrest, now we are looking for other mutated genes that can cause this phenotype, this ultimately allows us to identify new mechanisms that cause an increase risk in cancer.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".