The role of LFA‐1 in osteoclast development induced by co‐cultures of mouse bone marrow cells and MC3T3‐G2/PA6 cells
Bibliographic record
Abstract
Interactions between leukocyte function-associated antigen-1 (LFA-1) and intercellular adhesion molecule-1 (ICAM-1) influence the development of osteoclasts. However, little is known about how these adhesion molecules are involved in the process of osteoclast development. This study evaluated the role of LFA-1 and its ligands in osteoclast development and bone resorption. Co-cultures of bone marrow cells from LFA-1-deficient mice and MC3T3-G2/PA6 (PA6) cells were cultured in the presence of 1alpha,25(OH)2D3 and dexamethasone for 7 days. The number of TRAP-positive cells that were generated by bone marrow cells from LFA-1-deficient mice was smaller than that generated by bone marrow cells from wild-type mice. In addition, the bone-resorbing activity of osteoclast-like cells that were generated from LFA-1-deficient mice was lower than that generated by osteoclast-like cells from wild-type mice. Immunofluorescence flow cytometry showed that osteoclast stromal PA6 cells expressed the cell adhesion molecules, ICAM-1 and VCAM-1. When monoclonal antibodies to mice VCAM-1, CD11b or CD18 were added separately to the co-culture system, the number of TRAP-positive cells that were generated from LFA-1-deficient mice was 20-30% smaller than that generated from wild-type mice. The formation of TRAP-positive cells from both LFA-1 deficient and wild-type mice was especially inhibited by anti-CD18 antibody, in comparison to the addition of normal IgG serum. These results suggest that LFA-1 adhesion molecules play a role in osteoclast development by affecting adhesion between stromal cells and osteoclast progenitors before the occurrence of ODF-ODF receptor signaling. CD18 appears to be a key adhesion molecule in cell-to-cell contacts during the early stage of osteoclast development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".