N-glycan-defective breast cancer cells induce a phenotypic switch in polarization of bone marrow-derived macrophages
Bibliographic record
Abstract
PURPOSE: To investigate the effect of N-glycan-defective mammary adenocarcinoma cells on the polarization of macrophages. METHODS: N-glycan-defective breast cancer cells (MA782 cells) were prepared by swainsonine (SW) treatment and the cytotoxicity of SW to MA782 cells was evaluated using the 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide (MTT) assay. The N-glycan-defective MA782 cells were co-cultured with bone marrow-derived macrophages (BMDMs) for 48 h in vitro, and then the BMDMs and the co-cultured supernatant were analyzed for macrophage phenotypic using FQRT-PCR, FCM and ELISA. RESULTS: SW-treated MA782 cells expressed defective N-glycan on the cell surface in a dose-dependent manner (*p < 0.05). MTT assays showed that neither the 1 μg/mL nor 5 μg/mL SW treatments showed significant inhibition of MA782 cell growth in vitro. The expression of iNOS and agr-1 in the 5 μg/mL SW-treated group were 4.75-fold higher and 3.7-fold lower than that in the untreated group, respectively (*p < 0.05). Mean fluorescence intensity of CD16/32 expressed in the cells treated with 5 μg/mL SW was significantly higher in comparison with the untreated group (65 vs. 7, *p < 0.05), though the percentage of CD16/32-positive cells were not significantly different. Furthermore, the expression of CD206 and dectin-1 in the 5 μg/mL SW-treated group was significantly decreased (3.1±0.3% and 4.1±1.1%, respectively) in comparison with the untreated group (40±3% and 8.9±1.2%, respectively, both p < 0.05). In addition, the 5 μg/mL SW-treated group secreted more TNF-alpha (350 ±25 pg/mL) and less IL-10 (89±7.2 pg/mL) than the untreated group (80 ±3 pg/mL and 150 ±10 pg/mL, respectively, both p < 0.05). CONCLUSION: N-glycan-defective MA782 cells can induce the differentiation of BMDM into proinflammatory M1 macrophages in vitro.
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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".