Small Interfering RNA-Mediated Knockdown of Chicken Interferon-γ Expression
Bibliographic record
Abstract
Interferon (IFN)-γ is a cytokine with a variety of functions, including direct antiviral activities and the capacity to polarize T-cells. However, there is limited information available about the function of this cytokine in the avian immune system. To gain a better understanding of the biological relevance of IFN-γ in chicken immunity, gain-of-function (upregulation) and loss-of-function (downregulation) studies need to be conducted. RNA interference (RNAi), a technique employed for downregulating gene expression, is mediated by small interfering RNA (siRNA), which can trigger sequence-specific gene silencing. In this regard, sequence specificity and delivery of siRNA molecules remain critical issues, especially to cells of the immune system. Various direct and indirect approaches have been employed to deliver siRNA, including the use of viral vectors. The objectives of the present study were to determine whether RNAi could effectively downregulate expression of chicken IFN-γ in vitro, and investigate the feasibility of recombinant adeno-associated virus to deliver siRNA in vitro as well. Three 27-mer Dicer substrate RNAs were selected based on the chicken IFN-γ coding sequence and transfected into cells or delivered using a recombinant avian adeno-associated virus (rAAAV) into a chicken fibroblast cell line expressing chIFN-γ. The expression of chIFN-γ transcripts was significantly downregulated when a cocktail containing all three siRNAs was used. Expression of endogenous IFN-γ was also significantly downregulated in primary cells after stimulation with a peptide. Further, significant suppression of IFN-γ transcript was also observed in vitro in cells that were treated with rAAAV, expressing siRNA targeting IFN-γ. Off-target effects in the form of triggering IFN responses by RNAi, including expression of chicken 2',5'-oligoadenylate synthetase and IFN-α, were also examined. Our results suggest that siRNAs selected were effective at downregulating IFN-γ in vitro both when delivered directly as well as when expressed by an rAAAV-based vector.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 teacher head, 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".