Transcriptional analysis of host responses to Marek’s disease virus infection in genetically resistant and susceptible chickens
Bibliographic record
Abstract
Summary Marek’s disease virus (MDV) is a cell‐associated oncogenic herpesvirus that targets B cells and T cells, inducing lymphoid tumours in chickens. Genetic resistance to Marek’s disease (MD) is regulated in a polygenic fashion. In this study, we sought to compare the gene expression profiles following infection of birds that are genetically resistant or susceptible to MD (with the B21 and B19 haplotypes respectively at the MHC locus), including comparisons to uninfected controls. On days 4, 7, 14 and 21 post‐infection, gene expression profiles in spleen tissue were obtained using a chicken immune‐specific microarray. A number of genes showed significant (P ≤ 0.05) differential expression across time and treatments. These included the chemokine AH221, B‐cell marker Bu‐1, IgG, IgA, IgM, MHC class II β chain, granzyme A (GZMA) and signal transducers and activators of transcription 2 (STAT2) genes. In several comparisons, genes such as GZMA and STAT2 were induced in infected birds regardless of their genetic background. However, only immunoglobulin genes were differentially expressed by ≥2‐fold in resistant compared with susceptible infected chickens. IgM and IgG were significantly induced on day 7 post‐infection in susceptible chickens compared to resistant birds, whereas both of these genes were repressed in susceptible birds on day 14 post‐infection. Overall, gene expression profiles in the chicken spleen observed after MDV infection were dependent on time and host genetic background. These gene expression profiles provide a platform for defining novel candidate genes for resistance or susceptibility to MD.
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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) | 0.001 | 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".