Symposium Session Summaries
Bibliographic record
Abstract
The expression of functional proteins requires multiple steps including gene transcription and post-translational processing. MicroRNAs (miRNA) can regulate individual stages of these processes. We hypothesized that events in CFTR biogenesis are regulated in part by miRNA. We profiled miRNA expression in human airway epithelia to identify candidates for additional studies. MiRNA-138, which has highly conserved target sequences in the transcriptional regulatory gene product SIN3A, emerged as a candidate of interest. SIN3A is known to interact with the DNA binding protein CTCF and serve in the recruitment of transcriptional regulatory proteins to the promoter regions of many genes, including CFTR. We found that miRNA-138 regulates CFTR expression through its interactions with SIN3A. The treatment of human airway epithelia with a miRNA-138 mimic decreased SIN3A and increased CFTR mRNA and also increased CFTR abundance and transepithelial Cl -permeability independently of elevated mRNA levels. A miRNA-138 anti-miR had the opposite effects.
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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 | 0.000 | 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 | 0.002 |
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; both teacher heads agree on what is shown here.
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".