AU-rich elements and the control of gene expression through regulated mRNA stability
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 regulation of gene expression is a fundamental cellular process that is controlled at multiple levels. Abnormal regulation of gene expression has been directly implicated in the pathogenesis of some diseases of animals and humans and may contribute to the disease process in unrecognized ways in many others. Furthermore, novel treatment strategies for a number of different diseases may hinge upon our ability to exploit mechanisms that normally alter the expression of endogenous genes. While the study of gene regulation has traditionally focused on transcription as a major regulator of gene expression, it has recently become apparent that the post-transcriptional control of gene expression may play an equally important role. In particular, rapid, context-specific regulation of the stability of mRNA transcripts encoding highly active proteins, such as cytokines, growth factors, oncogenes and cell-cycle regulators, appears to play a key role in the control of these molecules and the processes they mediate. Many of the known regulatory pathways for mRNA stability involve proteins that interact with specific AU-rich elements in the 3'-untranslated region of the transcript. This review will address some important aspects of the normal regulation of mRNA stability and known or potential contributions of RNA stability regulation to health and disease.
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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 | 0.016 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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