Bibliographic record
Abstract
MicroRNAs (miRNAs) are non-coding small RNAs that regulate eukaryotic gene activity at the post-transcriptional level by a process termed miRNA gene suppression. MicroRNA-122 (miR-122) is predominantly expressed in human liver cells and recent studies indicated that miR-122 promotes Hepatitis C Virus (HCV) replication and translation through physical interaction with two tandem binding sites located in the 5’ untranslated region (5’UTR) of the HCV genome (Jopling, et al., 2006; Jopling, et al., 2008). It has been reported that host genes that are also implicated in the miRNA gene suppression pathway are key regulators of HCV replication (Randall, et al., 2007). Two proteins, Dicer, a key RNaseIII enzyme, and its binding partner TRBP are essential proteins for miRNA activity. They are part of a protein complex called the RNA induced silencing complex (RISC) which also includes Argonaute proteins, and function in miRNA biogenesis loading the miRNA into RISC. As such, they are intriguing targets to study host-viral interplay during HCV replication. In our study, we designed siRNAs to knock down Dicer and TRBP and then observed the effects of gene knockdown on full length J6/JFH-1-RLuc HCV (genotype 2a chimeric genome) replication and translation. The results showed that knocking down Dicer and TRBP reduced wild type (wt) J6/JFH-1-RLuc replication but had almost no effects on HCV translation in human liver cells. However, since knocking down Dicer and TRBP did not significantly alter miR-122 levels in the cell, it appears that the role of Dicer and TRBP was not solely the biogenesis of miR-122. This was confirmed by an experiment in which we observed that knocking down Dicer and TRBP also attenuated replication of a mutant virus in which replication is dependent on a exogenously supplied miRNA instead of endogenous miR-122. Taken together, the results supported the hypotheses that Dicer and TRBP facilitate HCV infection mainly through HCV replication but not translation. The effects of Dicer and TRBP on HCV replication are not solely due to miR-122 biogenesis, and may be due to RISC loading functions in steps of miRNA gene suppression. This study has set some essential groundwork for investigating potential roles of host factors in the RNAi machinery modulating HCV replication/translation and exploring novel antiviral targets.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".