Spatial Mapping Reveals How Bone and Muscle Cells Communicate

Bone and skeletal muscle are often treated as separate tissues with distinct jobs, but together they support movement, maintain posture, regulate metabolism, and help preserve overall health. Scientists have long known that bone and muscle exchange biochemical signals, but pinpointing where these molecular conversations happen and which cells take part has remained difficult. Conventional genomic tools can reveal which genes are active within a tissue, but they typically lose the spatial context needed to understand how neighboring cells interact in their natural setting.

A research team led by Hong-Wen Deng from Tulane University took on this problem using spatial transcriptomics, a technology that maps gene activity directly within intact tissue. The team examined a mouse femur and its adjacent skeletal muscle, pairing the approach with computational tools to reconstruct cellular neighborhoods and communication networks across the bone-muscle interface. The analysis produced data from 2,660 spatial spots and identified several major cell populations involved in tissue communication. The findings appeared in Bone Research.

The study found that bone and muscle are connected through a complex signaling system involving osteoblasts, skeletal muscle cells, endothelial cells, immune cells, and stem-cell populations, organized into thirteen major signaling pathways governing tissue maintenance and remodeling. Many of these pathways relied on extracellular matrix proteins and growth factors that help cells share information and respond to physiological demands, pointing to communication that is spatially organized rather than random. The team also identified specific ligand-receptor pairs acting as molecular messengers, including collagen-associated signaling between osteoblasts and muscle cells, thrombospondin-mediated signaling involving immune cells, and VEGF-driven signaling supporting vascular function. Imaging confirmed the colocalization of several predicted molecular partners, and validation against independent mouse and human datasets supported many of the pathways identified.

“Our goal was to move beyond simply identifying which genes are present and instead understand how cells communicate within their native tissue environment,” said Prof. Deng. “By preserving spatial information, we were able to uncover communication networks that would be difficult to detect using conventional sequencing approaches alone.” 

The work has implications for bone biology, muscle physiology, regenerative medicine, aging research, and precision medicine, particularly for conditions like osteoporosis, sarcopenia, and metabolic disease where bone and muscle deteriorate together. “Understanding these cellular communication pathways gives us a framework for studying what goes wrong in musculoskeletal disorders,” Prof. Deng said. “In the future, this knowledge may help guide the development of targeted interventions that restore healthy communication between tissues.”