MxA is a positive regulator of type I IFN signaling in HCV infection
Bibliographic record
Abstract
Type I interferons (IFNs) are a family of primordial cytokines that respond to various pathogen infections including Hepatitis C virus (HCV). Type I IFNs signal through Jak/STAT pathway leading to the production of a few hundred interferon stimulated genes (ISGs). The aim of this study was to explore the role of one of these ISGs, MxA in HCV infection and type I IFN production. Plasmid encoding MxA was cloned into PcDNA3.1-3×tag vector and MxA expression was confirmed both at mRNA (RT-PCR) and protein (Western blot, WB) levels. IFNα and IFNβ productions were quantified by RT-PCR from cell lysate and by ELISA kit from culture medium following MxA over-expression in Huh7.5.1 cells. The activation status of Jak/STAT signaling pathway was examined at three levels: p-STAT1 (WB), interferon sensitive response element (ISRE) activity (dual luciferase reporter gene assay), and levels of ISG expression (RT-qPCR). J6/JFH1 HCV culture system was used to study the role of MxA in HCV replication. Our findings indicated that MxA over-expression inhibited HCV replication and potentiated the IFNα-mediated anti-HCV activity; MxA stimulated the production of IFNα, IFNβ, and enhanced IFNα-induced activation of Jak-STAT signaling pathway. We concluded that MxA is a positive regulator of type I IFN signaling in HCV infection.
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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 | 0.001 |
| 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".