Toll‐like receptor 10 Expression in Chicken, Cattle, Pig, Dog, and Rat Lungs
Bibliographic record
Abstract
Toll‐like receptors (TLRs) are conserved immune receptors that play critical roles in innate immunity and are known as “gate keepers” of immune system. TLR10 is identified as type 1 plasma membrane protein but the identity of its ligand remains unclear. Till date, no data available on tissue and cell specific expression of TLR10 in normal and inflamed lungs of domestic animal species, and rat, which is commonly used as a model to study human diseases. First, we used homologous sequence alignment of published sequences of TLR10 from cattle, pig, dog, chicken and rat and the peptide alignment with antibody sequence to determine that a commercially available TLR10 antibody may be suitable for detection of TLR10. Western blotting of total lung protein extracts from cattle, dog, pig and chicken showed a band in 85‐ 100kDa region indicating the TLR10 protein. The immunohistochemistry, immunoelectron microscopy and confocal microscopy data show TLR10 expression in vascular endothelium and smooth muscle actin of control and inflamed animals. Further, we detected that basal expression of TLR10 in bovine neutrophil is altered upon treatment with E. coli lipopolysaccharide. These data show TLR10 expression in the lungs of these mammalian species and that activation of bovine neutrophils alters the expression of TLR10
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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 | 0.001 | 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) | 0.002 | 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".