RANK Ligand-induced Elevation of Cytosolic Ca2+ Accelerates Nuclear Translocation of Nuclear Factor κB in Osteoclasts
Bibliographic record
Abstract
RANK ligand (RANKL) induces activation of NFkappaB, enhancing the formation, resorptive activity, and survival of osteoclasts. Ca(2+) transduces many signaling events, however, it is not known whether the actions of RANKL involve Ca(2+) signaling. We investigated the effects of RANKL on rat osteoclasts using microspectrofluorimetry and patch clamp. RANKL induced transient elevation of cytosolic free Ca(2+) concentration ([Ca(2+)](i)) to maxima 220 nm above basal, resulting in activation of Ca(2+)-dependent K(+) current. RANKL elevated [Ca(2+)](i) in Ca(2+)-containing and Ca(2+)-free media, and responses were prevented by the phospholipase C inhibitor. Suppression of [Ca(2+)](i) elevation using the intracellular Ca(2+) chelator 1,2-bis(O-aminophenoxy)ethane-N,N,N',N'-tetraacetic acid (BAPTA) abolished the ability of RANKL to enhance osteoclast survival. Using immunofluorescence, NFkappaB was found predominantly in the cytosol of untreated osteoclasts. RANKL induced transient translocation of NFkappaB to the nuclei, which was maximal at 15 min. or BAPTA delayed nuclear translocation of NFkappaB. Delays were also observed upon inhibition of calcineurin or protein kinase C. We conclude that RANKL acts through phospholipase C to release Ca(2+) from intracellular stores, accelerating nuclear translocation of NFkappaB and promoting osteoclast survival. Such cross-talk between NFkappaB and Ca(2+) signaling provides a novel mechanism for the temporal regulation of gene expression in osteoclasts and other cell types.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".