Transcriptional Analysis of Host Responses to Marek's Disease Viral Infection
Bibliographic record
Abstract
This study was aimed at investigating the genes that control host responses to Marek's disease virus (MDV). Spleen tissues from infected and age-matched uninfected control chickens were examined 4, 7, 14, and 21 d postinfection for gene expression differences, using both microarray and quantitative real-time polymerase chain reaction (PCR) methodologies. Up to 51% of genes assayed during microarray analysis showed a significant change (p < or = 0.05) in expression after MDV infection, of which cell surface molecules, transcription and signal transduction molecules, housekeeping and metabolism mediators, and cytokines and cytokine receptors were most commonly differentially expressed. Setting a fold change threshold (> or =2), 14 of 84 genes showed differential expression over time. In addition, some genes showed differential expression at more than one time point. For example, the granzyme-A homolog gene remained upregulated in infected chickens, with fold changes of 7.98, 13.91, and 9.07 at 7, 14, and 21 d postinfection, respectively. Other genes that were differentially expressed at more than one time point were invariant chain, IgM, and CD3. Quantitative real-time PCR analysis was used to validate microarray results for a subset of genes showing a :2-fold change in expression. Expression of all but one gene (CD28) was confirmed. Identification of genetic mechanisms initiated by in vivo infection with MDV expands the current understanding of immune response to the virus in addition to host response elements associated with viral pathogenesis.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".