Alternative polyadenylation and the stress response
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
The cellular stress response is a universal mechanism necessary for the survival of all organisms. This multifaceted process is primarily driven by regulation of gene expression to produce an intracellular environment suitable for promoting cell survival and recovery. Posttranscriptional regulatory events are considered as critical mechanisms that modulate core characteristics of mRNA transcripts to promote cell adaptation to various assaults. While the impact of processes such as mRNA splicing, turnover, localization, and translation on the cellular stress response has been extensively studied, recent observations highlight the role of alternative polyadenylation (APA) in response to challenges such as oxidative stress, heat shock, and starvation. The role of APA is comprehensive with far reaching effects on mRNA stability, mRNA localization, and protein coding sequences. Nonetheless, APA remains a relatively unappreciated mode of gene regulation despite its role in regulating key mediators of the stress response. The goal of this review is to provide an overview of the recent advances in our understanding of the various ways by which APA affects cell adaptation to its environment and discuss how a defect in APA could have deleterious consequences on cell survival. This article is categorized under: RNA in Disease and Development > RNA in Disease RNA Structure and Dynamics > Influence of RNA Structure in Biological Systems RNA Processing > 3' End Processing.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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