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Cited by 59Osteoarthritis Treatment and MechanismsSingle-cell and spatial transcriptomicsBone and Joint Diseases

Single‐cell RNA sequencing in osteoarthritis

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Gu, Yuyuan, Hu, Yan, Zhang, Hao, Wang, Sicheng, Xu, Ke, Su, Jiacan·2023·Cell Proliferation
DOI 10.1111/cpr.13517PMC PMC10693192
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Abstract

Osteoarthritis is a progressive and heterogeneous joint disease with complex pathogenesis. The various phenotypes associated with each patient suggest that better subgrouping of tissues associated with genotypes in different phases of osteoarthritis may provide new insights into the onset and progression of the disease. Recently, single‐cell RNA sequencing was used to describe osteoarthritis pathogenesis on a high‐resolution view surpassing traditional technologies. Herein, this review summarizes the microstructural changes in articular cartilage, meniscus, synovium and subchondral bone that are mainly due to crosstalk amongst chondrocytes, osteoblasts, fibroblasts and endothelial cells during osteoarthritis progression. Next, we focus on the promising targets discovered by single‐cell RNA sequencing and its potential applications in target drugs and tissue engineering. Additionally, the limited amount of research on the evaluation of bone‐related biomaterials is reviewed. Based on the pre‐clinical findings, we elaborate on the potential clinical values of single‐cell RNA sequencing for the therapeutic strategies of osteoarthritis. Finally, a perspective on the future development of patient‐centred medicine for osteoarthritis therapy combining other single‐cell multi‐omics technologies is discussed. This review will provide new insights into osteoarthritis pathogenesis on a cellular level and the field of applications of single‐cell RNA sequencing in personalized therapeutics for osteoarthritis in the future.

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  • Single-cell RNA sequencing, ATAC-seq, proteomics, and spatial transcriptomics provide unprecedented resolution of cellular heterogeneity, revealing distinct cell subpopulations and molecular signatures in joint tissues that drive pathogenesis.

    “Single-cell RNA sequencing, ATAC-seq, proteomics, and spatial transcriptomics provide an unprecedented resolution of cellular heterogeneity, revealing distinct cell subpopulations and molecular signatures in joint tissues that drive pathogenesis”

    From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [160]

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  • Single-cell technologies offer potential cellular biomarkers for precise disease classification and targeted therapies.

    “offering potential cellular biomarkers for precise disease classification and targeted therapies [159,160].”

    From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [160]

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Cited by

Sorted by citations

Authors
Gu, Y., Hu, Y., Zhang, H., Wang, S., Xu, K., & Su, J.
Affiliations
Shanghai University (CN)
Corresponding author
  • Wang, Sicheng
  • Xu, Ke
  • Su, Jiacan
ORCID
Venue
Cell Proliferation
Publisher
Wiley
Published
2023-06-14
Volume
56
Issue
12
Pages
e13517-e13517
ISSN
  • 0960-7722 (ISSN-L)
  • 1365-2184
DOI
10.1111/cpr.13517
PMC
PMC10693192
OpenAlex
W4380730812
Cited by
59
References
9
Citations by year
2026: 18 · 2025: 31 · 2024: 9 · 2023: 1
FWCI
2.58
Type
journal article
Language
en
Open access
Licence
Locations
  • Cell Proliferation (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
National Natural Science Foundation of China (82172098)
Topics
  • Health Sciences › Medicine › Rheumatology › Osteoarthritis Treatment and Mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone and Joint Diseases
Keywords
osteoarthritis, single-cell RNA sequencing, articular cartilage, meniscus, synovium, subchondral bone, chondrocytes, osteoblasts, fibroblasts, endothelial cells, cell crosstalk, disease heterogeneity, therapeutic target, tissue engineering, personalized medicine, multi-omics
MeSH terms
Bone and Bones, Cartilage, Articular, Humans, Osteoarthritis, Sequence Analysis, RNA, Chondrocytes, Endothelial Cells

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