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Publication

Autoregulation of Osteocyte Sema3A Orchestrates Estrogen Action and Counteracts Bone Aging.

Cell metabolism | 2019

Osteocyte survival is key to bone homeostasis and is perturbed in menopause and aging. However, it remains unknown how osteocyte-mediated maintenance of the skeleton is regulated by the osteoprotective factor semaphorin 3A (Sema3A), a secreted protein that is known to reduce bone resorption and enhance bone formation. Here, we show that estrogen induces osteocyte expression of Sema3A, which acts on its receptor on osteocytes to promote their survival and maintain bone homeostasis. Postnatal global and conditional deletion of Sema3a in osteoblastic cells resulted in a severe osteoporotic phenotype marked by fewer osteocytes. This phenotype was recapitulated by osteocyte-specific deficiency of either Sema3A or its receptor component neuropilin-1 (Nrp1). A stimulator of soluble guanylate cyclase-cGMP signaling mimicked Sema3A action and ameliorated bone loss after ovariectomy. We further show that serum levels of SEMA3A decreased with age or after menopause in humans. Thus, we provide a mechanistic insight into the estrogen action and a promising therapeutic approach to protect against bone-related aging.

Pubmed ID: 30661929 RIS Download

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Commercial organization which provides reagents and services for molecular biology research. Its services include clone collections, microRNA solutions, genome editing, qPCR products, and fluorescent labeling and detection.

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PRISM (tool)

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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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