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Serum bone turnover markers show diurnal variation in humans, suggesting that circadian rhythms contribute to normal bone physiology. This conclusion is corroborated by bone phenotypes in mice with genetic disruption of the circadian molecular clock mechanism, for instance via deletion of the transcription factor Brain and Muscle Arntl-like 1 (Bmal1). To dissect the contribution of circadian molecular clocks in individual bone cell types, we generated mice with conditional deletion of Bmal1 in osteoclasts (Ctsk-cre) and in mesenchymal cells of the limbs (Prx1-cre). We report that deletion of Bmal1 in osteoclasts had no effect on trabecular or cortical bone parameters in vivo or on osteoclast differentiation in vitro. In contrast, Bmal1f/f.Prx1-cre mice had significantly less trabecular and cortical bone than Bmal1f/f littermate controls, recapitulating the bone phenotype of Bmal1 germline deficient mice. The number of osteoblast precursors in the bone marrow of Bmal1f/f.Prx1-cre mice was similar to wild-type controls, while the in vitro differentiation capacity of Bmal1-deficient osteoblast precursors, measured as induction of alkaline phosphatase activity, was significantly lower. Despite this, serum procollagen type 1 N-terminal propeptide (P1NP), a measure of bone formation in vivo, was higher in Bmal1f/f.Prx1-cre mice than in Bmal1f/f mice. Consistent with a high bone turnover state in the mutant mice, the bone resorption marker serum C-terminal telopeptides of Type I collagen (CTX-I) was also elevated, and Bmal1f/f.Prx1-cre mice had a higher number of tartrate resistant acid phosphatase (TRAP) positive osteoclasts than Bmal1f/f controls. These results demonstrate that adult bone mass in mice is controlled by the intrinsic circadian molecular clock in mesenchymal cells but not osteoclasts. The effect of the mesenchymal cell clock on bone turnover appears to involve osteoblast-osteoclast cross-talk.
Pubmed ID: 30659979
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THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.
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