Single-cell technologies drive mechanistic insights and therapeutic translation in skeletal system research

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Authors: Guoyang Zhang, Weixuan Lin, Lin Guo, Ziyun Li, Yu Xiang, Luo Wang, Xiaoyu Yan
Cited by: 2
References: 87

Abstract

A clear mechanistic understanding of the skeletal system's physiological and pathological processes is essential for therapeutic research. Traditional bulk analysis methods cannot resolve cellular heterogeneity and dynamic intercellular signaling in bone microenvironments, limiting insights into skeletal biology. This review focuses on the hierarchical application of single-cell technologies: transcriptomics for cellular identity, spatial omics for tissue context, and multi-omics integration for holistic exploration. These technologies resolve undetectable cellular heterogeneity, identify key cell subpopulations and intercellular communication pathways, and illuminate mechanistic insights. We synthesize their applications, address implementation challenges, and highlight their potential to guide future skeletal research and treatment.

Fields of Study & Subjects

Erythrocyte Function and Pathophysiology Single-cell and spatial transcriptomics Extracellular vesicles in disease

Publication details

Journal / source
iScience
Publisher
Elsevier BV
Volume
29
Issue
4
Pages
115356–115356
Publication date
13 March 2026
Language
EN