The roles of ccf-1 and pal-1 genes in aging and stress resistance of Caenorhabditis elegans
Bibliographic record
Abstract
The CCR4-NOT complex is a critical regulator of gene expression involved in multiple cellular processes, including transcriptional regulation, RNA metabolism, and stress responses. In this thesis, I investigated the role of ccf-1, a component of the CCR4-NOT complex, in stress responses and its necessity for normal lifespan and its implications in various pro-longevity signaling pathways in C. elegans. Through my experiments using environmental stressors such as cadmium and acrylamide, I measured several stress-responsive gene expression levels and observed that ccf-1 is required for stress-induced transcriptional changes in the model organism Caenorhabditis elegans. Additionally, I found that the ccf-1 gene plays an important role in the lifespan of several long-lived mutants, highlighting its significance in the aging process. I also showed that other components of the CCR4-NOT complex are also involved in promoting proper transcriptional response to environmental stressors. Furthermore, my research led to the discovery of the PAL-1 protein as a novel transcriptional factor involved in stress response with pleiotropic effects, demonstrating additive impacts when interacting with the ccf-1 gene. These findings contribute to a better understanding of the molecular mechanisms governing stress responses and aging in C. elegans and may have broader implications in unraveling similar processes in higher organisms, including humans.
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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 | 0.000 | 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) | 0.001 | 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".