The Pekin duck <scp>IL</scp>‐10R2 common chain: c<scp>DNA</scp> cloning, genomic structure, molecular characterization and m<scp>RNA</scp> expression analysis
Bibliographic record
Abstract
The interleukin-10 receptor 2 (IL-10R2, IL-10Rβ) is required for the signalling of the class 2 cytokines IL-10, IL-22, IL-26 and IFN-λ1-3 . Here, we describe the identification of the Pekin duck IL-10R2 (duIL-10R2) common chain and its gene structure. The duIL-10R2 cDNA encodes a 343 amino acid protein that has an amino acid identity of 76% and 42% with chicken and human IL-10R2, respectively. Binding residues of human IL-10R2 for IL-10 and IL-22 were mostly conserved in the avian IL-10R2 proteins within loops L3 and L5, but not within loops L2 and L6. Homology modelling of the duIL-10R2 extracellular domain structure using soluble human IL-10R2 (shIL-10R2, PDB ID: 3LQM) as a template revealed a protruding loop L5 and two distinct clefts between loops L2/L3 and L3/L5, similar to shIL-10R2. However, in contrast to the three amino acid β-hairpin loop L2 of shIL-10R2, loop L2 of duIL-10R2 is five residues longer. Residues within a putative Tyk2 binding site were highly conserved across all vertebrate IL-10R2 proteins examined. The duIL-10R2 gene shares a seven exon-six intron structure with chicken and human IL-10R2 genes, but avian genes are more compact. DuIL-10R2 mRNA was constitutively expressed in all tissues. Mitogen stimulation of duck peripheral blood mononuclear cells (PBMC) did not alter transcript levels. Our observations suggest that genomic organization and structural features implicated in multiple cytokine-binding properties of human IL-10R2 are conserved in duck IL-10R2, but the evolutionary changes that appear to have lead to low-affinity cytokine interaction within loop L2 are distinct to mammalian species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".