Galectin-8 Modulates Innate and Adaptive Immune Response Genes in Bovine Neutrophils
Why this work is in the frame
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Bibliographic record
Abstract
Galectins (Gals) are a family of animal lectins that bind β-galactosides through a carbohydrate recognition domain. Galectin-8 is a tandem-repeat galectin, secreted intracellularly and extracellularly. It is associated with neutrophil migration and has been studied as a possible therapeutic to combat inflammation. The objective of this study was to evaluate the translational and the transcriptional effects of recombinant Galectin-8 (rGal-8) on cow neutrophils. Blood was collected aseptically from Holstein-Friesian cows (n=10) from the North Carolina A&T State University Dairy Unit. Neutrophils isolated were treated with rGal-8 (2μg), or PBS (control) and were incubated at 37°C, 5% CO2 for 1 hour. Supernatant from treated neutrophils was evaluated for total protein concentration, and galectin-8 secretion using bovine Galectin-8 Enzyme Linked-Immuno-Sorbent Assay (ELISA) kit. Total RNA was extracted, reverse transcribed, and RT-qPCR was performed using the RT² Profiler Cow Innate & Adaptive Immune Responses Array with 84 genes. The Livak method was used to calculate transcript abundance and fold change (FC>2 considered significant). Total protein concentration increased (P=0.0361) after rGal-8 treatment compared to the untreated control. Galectin-8 secretion was not significantly different in control compared to treated group (P=0.5819). Out of the 84 genes, 81 genes were differentially expressed in response to rGal-8; 14 up-regulated, 5 down-regulated, 61 genes remained unchanged. Treatment with rGal8 induced the expression of IRF7. The top five up-regulated genes include FAS, CD40, CD86, IFNGR1, STAT1; down-regulated genes were TLR9, CD14, CCR6, TICAM1, and TLR1. Selected genes were probed to validate fold change; the levels of gene expression were comparable to data from RT2 array. Exposure of bovine neutrophils to rGal-8 modified expression of immune response genes. The functional significance of the change needs further studies.
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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 | 0.004 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it