Tetra- and hexavalent mannosides inhibit the pro-apoptotic, antiproliferative and cell surface clustering effects of concanavalin-A: Impact on MT1-MMP functions in marrow-derived mesenchymal stromal cells
Bibliographic record
Abstract
Mesenchymal stromal cells (MSC) mobilization and recruitment by experimental vascularizing tumors involves membrane type 1-matrix metalloproteinase (MT1-MMP) functions. Given that the mannose-specific lectin Concanavalin-A (ConA) induces MT1-MMP expression and mimics biological lectins/carbohydrate interactions, we synthesized and tested the potential of 11 mannoside clusters to block ConA activities on MSC. We found that tetra- and hexavalent mannosides reversed ConA-mediated changes in MSC morphology and antagonized ConA-induced caspase-3 activity and proMMP-2 activation. Tetra- and hexavalent mannosides also inhibited ConA- but not the cytoskeleton disrupting agent Cytochalasin-d-induced MT1-MMP cell surface proteolytic processing mechanisms, and effects on cell cycle phase progression. The antiproliferative and pro-apoptotic impact of ConA on the MT1-MMP/glucose-6-phosphate transporter signaling axis was also reversed by these mannosides. In conclusion, we designed and identified glycocluster constructions that efficiently interfered with carbohydrate-binding proteins (lectins) interaction with oligosaccharide moieties of glycoproteins at the cell surface of MSC. These glycoclusters may serve in carbohydrate-based anticancer strategies through their ability to specifically target MT1-MMP pleiotropic functions in cell survival, proliferation, and extracellular matrix degradation.
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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".