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Single-cell RNA Sequencing Analysis of the Temporomandibular Joint Condyle in 3 and 4-month-old Human Embryos

Overview
Journal Cell Biosci
Publisher Biomed Central
Specialty Biology
Date 2023 Jul 19
PMID 37468984
Authors
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Abstract

Background: The temporomandibular joint (TMJ) is a complex joint consisting of the condyle, the temporal articular surface, and the articular disc. Functions such as mastication, swallowing and articulation are accomplished by the movements of the TMJ. To date, the TMJ has been studied more extensively, but the types of TMJ cells, their differentiation, and their interrelationship during growth and development are still unclear and the study of the TMJ is limited. The aim of this study was to establish a molecular cellular atlas of the human embryonic temporomandibular joint condyle (TMJC) by single-cell RNA sequencing, which will contribute to understanding and solving clinical problems.

Results: Human embryos at 3 and 4 months of age are an important stage of TMJC development. We performed a comprehensive transcriptome analysis of TMJC tissue from human embryos at 3 and 4 months of age using single-cell RNA sequencing. A total of 16,624 cells were captured and the gene expression profiles of 15 cell clusters in human embryonic TMJC were determined, including 14 known cell types and one previously unknown cell type, "transition state cells (TSCs)". Immunofluorescence assays confirmed that TSCs are not the same cell cluster as mesenchymal stem cells (MSCs). Pseudotime trajectory and RNA velocity analysis revealed that MSCs transformed into TSCs, which further differentiated into osteoblasts, hypertrophic chondrocytes and tenocytes. In addition, chondrocytes (CYTL1 + THBS1) from secondary cartilage were detected only in 4-month-old human embryonic TMJC.

Conclusions: Our study provides an atlas of differentiation stages of human embryonic TMJC tissue cells, which will contribute to an in-depth understanding of the pathophysiology of the TMJC tissue repair process and ultimately help to solve clinical problems.

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References
1.
Zhang F, Wei K, Slowikowski K, Fonseka C, Rao D, Kelly S . Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry. Nat Immunol. 2019; 20(7):928-942. PMC: 6602051. DOI: 10.1038/s41590-019-0378-1. View

2.
Yu G, Wang L, Han Y, He Q . clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS. 2012; 16(5):284-7. PMC: 3339379. DOI: 10.1089/omi.2011.0118. View

3.
Omi M, Kaartinen V, Mishina Y . Activin A receptor type 1-mediated BMP signaling regulates RANKL-induced osteoclastogenesis via canonical SMAD-signaling pathway. J Biol Chem. 2019; 294(47):17818-17836. PMC: 6879329. DOI: 10.1074/jbc.RA119.009521. View

4.
Tang W, Li Z, Miao G, Li Z, Gui T, Wu C . Single-Cell RNA Sequencing Reveals Transcriptional Changes in the Cartilage of Subchondral Insufficiency Fracture of the Knee. J Inflamm Res. 2022; 15:6105-6112. PMC: 9645121. DOI: 10.2147/JIR.S385648. View

5.
Zhu L, Liu Y, Wang A, Zhu Z, Li Y, Zhu C . Application of BMP in Bone Tissue Engineering. Front Bioeng Biotechnol. 2022; 10:810880. PMC: 9008764. DOI: 10.3389/fbioe.2022.810880. View