Passively acquired membrane proteins alter the functional capacity of bovine polymorphonuclear cells
Bibliographic record
Abstract
We have previously shown that bovine polymorphonuclear cells (PMNs) have an impressive capacity to passively acquire membrane lipids and proteins from apoptotic cells. The present study used confocal microscopy to analyze the interaction between PMNs and a variety of donor cells, and assays were used to determine if passively acquired membrane proteins altered PMN biology. Confocal microscopy revealed that direct cell-cell contact and microparticles shed by donor cells may be a source of passively acquired membranes and integral membrane proteins, which then integrate into the PMN plasma membrane. Donor cells expressing green fluorescent protein in their cytoplasm were also used to demonstrate the transfer of cytoplasmic proteins from donor cells to PMNs. The functional consequences of passive membrane protein acquisition by PMNs were then investigated using two distinct systems. First, PMNs were incubated with membranes isolated from an adenovirus-permissive cell line, and this passive transfer of cell membranes significantly increased adenovirus infection of PMNs. Second, major histocompatibility complex (MHC) class II molecules were passively transferred from ovine B cells to bovine PMNs, and PMNs with ovine MHC class II on their surface were able to induce a proliferative response and increased cytokine gene expression in alloreactive bovine T cell lines. In conclusion, passively acquired membrane proteins integrated into the plasma membrane of bovine PMNs and altered the functional capacity of these cells.
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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 | 0.000 |
| 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) | 0.000 | 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".