Cell Cycle Regulation by Post-Translational and Post-Transcriptional Mechanisms in an Anaerobic Extremist- the Anoxia Tolerant Turtle, Trachemys Scripta Elegans
Bibliographic record
Abstract
As a model for vertebrate long-term survival in oxygen restricted environments, the red-eared slider turtle (T.s. elegans) can adapt at the biochemical level to deal with hibernation occurring in oxygen-free (anoxic) cold water (<10°C).In this thesis I hypothesized that the mechanisms which suppress ATP-expensive cell cycle activity, would contribute to establishing an hypometabolic state.To explore this possibility, this thesis studied the post-transcriptional and post-translational mechanisms of cell cycle arrest during anoxic stress in the freshwater turtle.Results indicated a general regulation of critical cell cycle components, in addition to the possible regulation by signaling cascades (Akt/GSK-3β and ATR/Chk2) that are known to regulate G 1 /G 0 phases of the cell cycle.Importantly, there is extensive regulation of Cyclin D1 protein by (1) Akt/GSK-3β signaling, (2) post-translational modification, (3) an AU-rich region, and (4) microRNA-induced translational suppression.This study also identified a phase-specific cell cycle arrest mechanism involving the Rb/E2F DNA-binding complex in both anoxic liver and kidney tissues.A novel DNA-binding complex ELISA technique was able to identify that both kidney and liver establish an Rb/E2F1 mediated G 1 arrest complex by 5 and 20 h anoxia, repectively.By 20 h anoxia, kidney tissue established a reversible state of G 0 , characterized by the prescence of a p130/E2F4 DNA-bound complex.Overall, results from this thesis indicate that both kidney and liver enter into a G 1 arrest during anoxia.By contrast, the cell cycle in white skeletal muscle was found to be minimally regulated during anoxia and this finding is likely a reflection of its overall post-mitotic nature.Interestingly, kidney established a state of G 1 arrest within 5 h anoxia
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".