Enhancement of hepatitis C viral RNA abundance by precursor miR-122 molecules
Bibliographic record
Abstract
The hepatitis C viral RNA genome forms a complex with liver-specific microRNA (miR-122) at the extreme 5' end of the viral RNA. This complex is essential to stabilize the viral RNA in infected cultured cells and in the liver of humans. The abundances of primary and precursor forms of miR-122, but not the abundance of mature miR-122, are regulated in a circadian rhythm in the liver of animals, suggesting a possible independent function of precursor molecules of miR-122 in regulating viral gene expression. Modified precursor molecules of miR-122 were synthesized that were refractory to cleavage by Dicer. These molecules were found to enhance the abundance of HCV RNA. Furthermore, they diminished the expression of mRNAs that contained binding sites for miR-122 in their 3' noncoding regions. By use of duplex and precursor miR-122 mimetic molecules that carried mutations in the passenger strand of miR-122, the effects on viral and reporter gene expression could be pinpointed to the action of precursor miR-122 molecules. Targeting the circadian expression of precursor miR-122 by specific compounds likely provides novel therapeutic strategies.
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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".