Cuspal Shape Alterations by Bmp4 Directing Cell Proliferation and Apoptosis

Kim, Eun Jin; Hy, Kim; L, Li; Tang, Qingfeng; Kh, Kim; Ohshima, Hayato; Jung, Han‐Sung

doi:10.1177/00220345231167769

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…Thereinto, cell proliferation is regulated by various genes and signaling molecules, and finally contribute to the future tooth formation. 37 , 38 Abnormal expression of crucial cell cycle regulators, such as cyclin D1 and P21, can disrupt the normal progression of the cell cycle, thereby affecting the proliferative activity of epithelial or mesenchymal cells and ultimately altering the pattern and size of teeth. 39 , 40 In our research, we observed a significant difference in the number of proliferating cells between M1 and M3, and the distribution of these cells is closely associated with PRX1-positive cells and their progeny.…”

Section: Discussionmentioning

confidence: 99%

PRX1-positive mesenchymal stem cells drive molar morphogenesis

Xu,

Gong,

Zhang

et al. 2024

Int J Oral Sci

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Mammalian teeth, developing inseparable from epithelial-mesenchymal interaction, come in many shapes and the key factors governing tooth morphology deserve to be answered. By merging single-cell RNA sequencing analysis with lineage tracing models, we have unearthed a captivating correlation between the contrasting morphology of mouse molars and the specific presence of PRX1+ cells within M1. These PRX1+ cells assume a profound responsibility in shaping tooth morphology through a remarkable divergence in dental mesenchymal cell proliferation. Deeper into the mechanisms, we have discovered that Wnt5a, bestowed by mesenchymal PRX1+ cells, stimulates mesenchymal cell proliferation while orchestrating molar morphogenesis through WNT signaling pathway. The loss of Wnt5a exhibits a defect phenotype similar to that of siPrx1. Exogenous addition of WNT5A can successfully reverse the inhibited cell proliferation and consequent deviant appearance exhibited in Prx1-deficient tooth germs. These findings bestow compelling evidence of PRX1-positive mesenchymal cells to be potential target in regulating tooth morphology.

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Section: Discussionmentioning

confidence: 99%

PRX1-positive mesenchymal stem cells drive molar morphogenesis

Xu,

Gong,

Zhang

et al. 2024

Int J Oral Sci

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The potential role of chromodomain helicase DNA-binding protein 3 in defining the cervical width by regulating the early growth stage of the apical papilla during tooth development

Shimamura,

Nojiri,

Kondo

et al. 2024

Journal of Oral Biosciences

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Identifying cell types by lasso-constraint regularized Gaussian graphical model based on weighted distance penalty

Zhang,

Xu,

Zheng

et al. 2024

Briefings in Bioinformatics

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Single-cell RNA sequencing (scRNA-seq) technology is one of the most cost-effective and efficacious methods for revealing cellular heterogeneity and diversity. Precise identification of cell types is essential for establishing a robust foundation for downstream analyses and is a prerequisite for understanding heterogeneous mechanisms. However, the accuracy of existing methods warrants improvement, and highly accurate methods often impose stringent equipment requirements. Moreover, most unsupervised learning-based approaches are constrained by the need to input the number of cell types a prior, which limits their widespread application. In this paper, we propose a novel algorithm framework named WLGG. Initially, to capture the underlying nonlinear information, we introduce a weighted distance penalty term utilizing the Gaussian kernel function, which maps data from a low-dimensional nonlinear space to a high-dimensional linear space. We subsequently impose a Lasso constraint on the regularized Gaussian graphical model to enhance its ability to capture linear data characteristics. Additionally, we utilize the Eigengap strategy to predict the number of cell types and obtain predicted labels via spectral clustering. The experimental results on 14 test datasets demonstrate the superior clustering accuracy of the WLGG algorithm over 16 alternative methods. Furthermore, downstream analysis, including marker gene identification, pseudotime inference, and functional enrichment analysis based on the similarity matrix and predicted labels from the WLGG algorithm, substantiates the reliability of WLGG and offers valuable insights into biological dynamic biological processes and regulatory mechanisms.

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Cuspal Shape Alterations by Bmp4 Directing Cell Proliferation and Apoptosis

Cited by 4 publications

References 28 publications

PRX1-positive mesenchymal stem cells drive molar morphogenesis

PRX1-positive mesenchymal stem cells drive molar morphogenesis

The potential role of chromodomain helicase DNA-binding protein 3 in defining the cervical width by regulating the early growth stage of the apical papilla during tooth development

Identifying cell types by lasso-constraint regularized Gaussian graphical model based on weighted distance penalty

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