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Advancing skeletal health and disease research with single-cell RNA sequencing
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作者 Peng Lin Yi-Bo Gan +15 位作者 Jian He Si-En Lin Jian-Kun Xu Liang Chang Li-Ming Zhao Jun Zhu Liang Zhang Sha Huang Ou Hu Ying-Bo Wang Huai-Jian Jin yang-yang Li pu-lin yan Lin Chen Jian-Xin Jiang Peng Liu 《Military Medical Research》 2025年第2期285-310,共26页
Orthopedic conditions have emerged as global health concerns,impacting approximately 1.7 billion individuals worldwide.However,the limited understanding of the underlying pathological processes at the cellular and mol... Orthopedic conditions have emerged as global health concerns,impacting approximately 1.7 billion individuals worldwide.However,the limited understanding of the underlying pathological processes at the cellular and molecular level has hindered the development of comprehensive treatment options for these disorders.The advent of single-cell RNA sequencing(scRNA-seq)technology has revolutionized biomedical research by enabling detailed examination of cellular and molecular diversity.Nevertheless,investigating mechanisms at the single-cell level in highly mineralized skeletal tissue poses technical challenges.In this comprehensive review,we present a streamlined approach to obtaining high-quality single cells from skeletal tissue and provide an overview of existing scRNA-seq technologies employed in skeletal studies along with practical bioinformatic analysis pipelines.By utilizing these methodologies,crucial insights into the developmental dynamics,maintenance of homeostasis,and pathological processes involved in spine,joint,bone,muscle,and tendon disorders have been uncovered.Specifically focusing on the joint diseases of degenerative disc disease,osteoarthritis,and rheumatoid arthritis using scRNA-seq has provided novel insights and a more nuanced comprehension.These findings have paved the way for discovering novel therapeutic targets that offer potential benefits to patients suffering from diverse skeletal disorders. 展开更多
关键词 Skeletal disorders Musculoskeletal system Single-cell RNA sequencing(scRNA-seq) Cellular heterogeneity Single cell suspension Bioinformatic analysis
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