Related Experiment Video
Updated: Jan 26, 2026

Reaggregate Thymus Cultures
Published on: August 28, 2008
The RANKL-RANK Axis: A Bone to Thymus Round Trip
Cristina Sobacchi1,2, Ciro Menale1,2, Anna Villa1,3
1Milan Unit, Institute for Genetic and Biomedical Research (CNR-IRGB), Milan, Italy.
Abstract:
The identification of Receptor activator of nuclear factor kappa B ligand (RANKL) and its cognate receptor Receptor activator of nuclear factor kappa B (RANK) during a search for novel tumor necrosis factor receptor (TNFR) superfamily members has dramatically changed the scenario of bone biology by providing the functional and biochemical proof that RANKL signaling via RANK is the master factor for osteoclastogenesis. In parallel, two independent studies reported the identification of mouse RANKL on activated T cells and of a ligand for osteoprotegerin on a murine bone marrow-derived stromal cell line. After these seminal findings, accumulating data indicated RANKL and RANK not only as essential players for the development and activation of osteoclasts, but also for the correct differentiation of medullary thymic epithelial cells (mTECs) that act as mediators of the central tolerance process by which self-reactive T cells are eliminated while regulatory T cells are generated. In light of the RANKL-RANK multi-task function, an antibody targeting this pathway, denosumab, is now commonly used in the therapy of bone loss diseases including chronic inflammatory bone disorders and osteolytic bone metastases; furthermore, preclinical data support the therapeutic application of denosumab in the framework of a broader spectrum of tumors. Here, we discuss advances in cellular and molecular mechanisms elicited by RANKL-RANK pathway in the bone and thymus, and the extent to which its inhibition or augmentation can be translated in the clinical arena.
Related Concept Videos
Ranks
Spearman's Rank Correlation Test
Spearman's test calculates correlation by...
Hypothalamic-Pituitary Axis
Wilcoxon Rank-Sum Test
Friedman Two-way Analysis of Variance by Ranks
The Mantel-Cox Log-Rank Test

