Effects of toll-like receptor 3 on herpes simplex virus type-1-infected mouse neural stem cells
Bibliographic record
Abstract
In this study, we aimed to investigate the effect of herpes simplex virus type-1 (HSV-1) infection on the phosphorylation of interferon regulatory factor 3 (IRF3) and the expression of interferon-β (IFN-β), as well as to clarify the functions of toll-like receptor 3 (TLR3) in mouse neural stem cells (NSCs) infected with HSV-1. In HSV-1-infected cultured NSCs, immunofluorescence, reverse transcription - polymerase chain reaction, Western blot, and ELISA were performed to reveal the expression patterns of TLR3, IRF3, and IFN-β. Then, lentivirus-mediated RNA interference (RNAi) was used to block the expression of TLR3, and its effect on host resistance to HSV-1 infection was investigated. Under uninfected conditions, NSCs expressed TLR3 and phosphorylated IRF3, but after infection, the expression level of TLR3 was upregulated and the phosphorylation level of IRF3 in the nucleus was significantly enhanced, while IFN-β was also expressed. After TLR3 expression was blocked by lentivirus-mediated RNAi, IRF3 phosphorylation and IFN-β expression were downregulated. Therefore, HSV-1 upregulated the expression of TLR3 in NSCs and promoted nuclear translocation after IRF3 was phosphorylated to induce IFN-β expression. TLR3 exhibited an anti-HSV-1 infection capacity via innate immune functions.
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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".