Assessment of Bioactivity of a Recombinant Chicken Interferon-Gamma Expressed Using a Baculovirus Expression System
Bibliographic record
Abstract
The full-length coding sequence of chicken interferon-γ (ChIFN-γ) was cloned into a baculovirus nonfusion vector, pFastBacDual, and expressed in Sf21 insect cells. Recombinant ChIFN-γ (rChIFN-γ) protein was found to be expressed both intracellularly as well as in the culture supernatants. The affinity-purified rChIFN-γ contained 14, 17, and 28 kDa proteins, possibly representing both glycosylated and nonglycosylated protein forms of ChIFN-γ. The bioactivity of rChIFN-γ was confirmed in vitro by production of nitric oxide in a chicken macrophage cell line (HD11) and antiviral activity against vesicular stomatitis virus in primary chicken embryonic fibroblast cells. Further, HD11 cells stimulated with rChIFN-γ showed significant upregulation of inducible nitric oxide synthases, IFN-γ, interleukin-1β, interleukin-12p35, signal transducers and activators of transcription 1, class II, major histocompatibility complex, transactivator, and major histocompatibility complex II-β chain (BL-B) transcripts. In conclusion, the present study provides information on the ability of functionally active rChIFN-γ expressed in a baculovirus system in inducing significant transcriptional upregulation of various immune system-related genes, including those that encode cytokines, antigen-presenting molecules, and transcription factors involved in the major histocompatibility complex and IFN-signaling pathway.
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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) | 0.000 | 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".