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A comprehensive analysis of single-cell RNA transcriptome reveals unique SPP1+ chondrocytes in human osteoarthritis

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单位: [1]Department of Orthopedics,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China
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关键词: Osteoarthritis Single-cell RNA sequencing SPP1 CD44 Angiogenesis Cell senescence

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Osteoarthritis (OA) has become the most common degenerative disease in the world, which brings a serious economic burden to society and the country. Although epidemiological studies have shown that the occurrence of osteoarthritis is associated with obesity, sex, and trauma, the biomolecular mechanisms for the development and progression of osteoarthritis remain ambiguous. Several studies have drawn a connection between SPP1 and osteoarthritis. SPP1 was first found to be highly expressed in osteoarthritic cartilage, and later more studies have shown that SPP1 is also highly expressed in subchondral bone and synovial in OA patients. However, the biological function of SPP1 remains unclear. Single-cell RNA sequencing (scRNA-seq) is a novel technique that reflects gene expression at the cellular level, making it better depict the state of different cells than ordinary transcriptome data. However, most of the existing chondrocyte scRNA-seq studies focus on the occurrence and development of OA chondrocytes and lack analysis of normal chondrocyte development. Therefore, to better understand the mechanism of OA, scRNA-seq analysis of a larger cell volume containing normal and osteoarthritic cartilage is of great importance. Our study identifies a unique cluster of chondrocytes characterized by high SPP1 expression. The metabolic and biological characteristics of these clusters were further investigated. Besides, in animal models, we found that the expression of SPP1 is spatially heterogeneous in cartilage. Overall, our work provides novel insight into the potential role of SPP1 in OA, which sheds light on understanding the role of SPP1 in OA, promoting the progress of the treatment and prevention in the field of OA.Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

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出版当年[2022]版:
大类 | 2 区 工程技术
小类 | 1 区 数学与计算生物学 2 区 工程:生物医学 2 区 生物学 3 区 计算机:跨学科应用
最新[2025]版:
大类 | 2 区 医学
小类 | 1 区 数学与计算生物学 2 区 生物学 2 区 计算机:跨学科应用 2 区 工程:生物医学
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出版当年[2021]版:
Q1 BIOLOGY Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q1 ENGINEERING, BIOMEDICAL Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
最新[2023]版:
Q1 BIOLOGY Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q1 ENGINEERING, BIOMEDICAL Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

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第一作者单位: [1]Department of Orthopedics,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China
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