Single-Cell RNA Sequencing Analysis of Human Dental Pulp Stem Cell and Human Periodontal Ligament Stem Cell

Lee, Sukjoon; Chen, Dongzi; Park, Mun-Su; Kim, Sunil Dds.; Choi, Yoon Jeong; Moon, Seok Jun; Shin, Dong Min; Lee, Ji Hyun; Kim, Euiseong

doi:10.1016/j.joen.2021.11.005

Cited by 25 publications

(23 citation statements)

References 32 publications

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“…Previous studies have applied scRNA‐seq to investigate the heterogeneity of ex vivo‐expanded human mesenchymal stromal cells derived from different sources, for example, umbilical cord and synovial fluid (Jia et al, 2020), bone marrow and Wharton's jelly (C. Zhang et al, 2022) and adipose tissue and foreskin (Z. Wang et al, 2021). Gene expression comparison between ex vivo‐expanded human mesenchymal stromal cells derived from either dental pulp or periodontal ligament by scRNA‐seq was also performed (Lee et al, 2022). However, this is the first study to explore the intra‐population heterogeneity of ex vivo‐expanded oral mucosa‐derived mesenchymal stromal cells.…”

Section: Discussionmentioning

confidence: 99%

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Single‐cell transcriptomic analysis of oral masticatory and lining mucosa‐derived mesenchymal stromal cells

Pinkhasov

Kabakov

Nemcovsky

et al. 2023

J Clinic Periodontology

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Aim: To reveal the heterogeneity of ex vivo-cultured human mesenchymal stromal cells derived from either masticatory or lining oral mucosa.Materials and Methods: Cells were retrieved from the lamina propria of the hard palate and alveolar mucosa of three individuals. The analysis of transcriptomic-level differences was accomplished using single-cell RNA sequencing.Results: Cluster analysis clearly distinguished between cells from the masticatory and lining oral mucosa, and revealed 11 distinct cell sub-populations, annotated as fibroblasts, smooth muscle cells or mesenchymal stem cells. Interestingly, cells presenting a mesenchymal stem cell-like gene expression pattern were predominantly found in masticatory mucosa. Although cells of masticatory mucosa origin were highly enriched for biological processes associated with wound healing, those from the lining oral mucosa were highly enriched for biological processes associated with the regulation of epithelial cells.Conclusions: Our previous work had shown that cells from the lining and masticatory oral mucosae are phenotypically heterogeneous. Here, we extend these findings to show that these changes are not the result of differences in averages but rather represent two distinct cell populations, with mesenchymal stem cells more common in masticatory mucosa. These features may contribute to specific physiological functions and have relevance for potential therapeutic interventions.

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Section: Discussionmentioning

confidence: 99%

“…Gene expression comparison between ex vivo-expanded human mesenchymal stromal cells derived from either dental pulp or periodontal ligament by scRNA-seq was also performed (Lee et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Single‐cell transcriptomic analysis of oral masticatory and lining mucosa‐derived mesenchymal stromal cells

Pinkhasov

Kabakov

Nemcovsky

et al. 2023

J Clinic Periodontology

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“…Therefore, it is necessary to picture the comprehensive expression profiles of human teeth further by scRNA‐seq. The scRNA‐seq was used to discover the cellular heterogeneity and molecular signatures in human pulp 30–33 . From dynamics and differentiation trajectories analysis, endothelial cells exhibit the most dynamic behavior, while only minor differentiation trajectories are found in most dental pulp cell populations 31 .…”

Section: Re‐analysis Of Oral Histological Structure and Histogenesis ...mentioning

confidence: 99%

“…The scRNA‐seq was used to discover the cellular heterogeneity and molecular signatures in human pulp. 30 , 31 , 32 , 33 From dynamics and differentiation trajectories analysis, endothelial cells exhibit the most dynamic behavior, while only minor differentiation trajectories are found in most dental pulp cell populations. 31 According to the ligand‐receptor pair analysis among cell populations, the pulp cells communicated the most with other cell types, while T cells communicated the least.…”

Section: Re‐analysis Of Oral Histological Structure and Hist...mentioning

confidence: 99%

Single‐cell RNA sequencing in oral science: Current awareness and perspectives

Ding

Wang

et al. 2022

Cell Proliferation

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The emergence of single-cell RNA sequencing enables simultaneous sequencing of thousands of cells, making the analysis of cell population heterogeneity more efficient. In recent years, single-cell RNA sequencing has been used in the investigation of heterogeneous cell populations, cellular developmental trajectories, stochastic gene transcriptional kinetics, and gene regulatory networks, providing strong support in life science research. However, the application of single-cell RNA sequencing in the field of oral science has not been reviewed comprehensively yet. Therefore, this paper reviews the development and application of single-cell RNA sequencing in oral science, including fields of tissue development, teeth and jaws diseases, maxillofacial tumors, infections, etc., providing reference and prospects for using single-cell RNA sequencing in studying the oral diseases, tissue development, and regeneration. | INTRODUCTIONOn the analysis of mixed samples of thousands of cells, bulk RNA sequencing is prone to uncover gene expression by sequencing on average in the absence of the cellular transcriptome heterogeneity of individual cells. Traditional RNA sequencing can reveal information of dominant cell subpopulations, but the transcriptome characteristics of rare cell subpopulations cannot be shown because the results are † Authors contributing equally to this article.

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“…Recent single-cell studies on mouse dental tissues have elucidated the cell heterogeneity from early state Cranial neural crest cells 6 to later incisor tissues 7 , and delineated the differentiation and migration trajectory of epithelial and mesenchymal cells. Other studies using dental tissues from healthy volunteers also constructed dell landscape of postnatal human dental pulp 8,9 , apical papilla 7 , periodontal tissues 8,10 and immature tooth germ 11 . Based on these and other existing data, Hermans et al 12 built a comprehensive dental cell landscape that basically covered all developmental stages of mouse incisor and molar tissue as well as human postnatal dental tissues, which has been proved valuable for clinical and bioengineering studies.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal cell landscape of human embryonic tooth development

Shi

Sun

et al. 2023

Preprint

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IntroductionUnderstanding the cellular composition and trajectory of human tooth development is valuable for dentistry and stem cell engineering research. Previous single-cell studies have focused on mature human tooth and developing mice tooth, but cell landscape on human embryonic dental development is still lacking.ObjectiveWe aimed to construct the spatiotemporal cell atlas of aborted fetus tooth germ.MethodsWe collected tooth germ tissues from aborted fetus (17-24 week) for single cell RNA sequence and spatial transcriptome. Subsequent clustering, spatial projection, pseudotime, gene regulation network, pathway enrichment and signaling network analysis were applied to reveal the cellular composition as well as its biological significance.ResultsWe classified all cells into seven subclusters of epithelium, seven clusters of mesenchyme and other cell types like Schwann cell precursor and pericyte. For epithelium, the matrix cell-striatum intermedium branch and the ameloblast branch diverged from a same set of KRT15+-HOPX+-ALCAM+ epithelial stem cell lineage, but the spatial distribution of two branches were not clearly distinct. This trajectory received spatially adjacent regulation signals from mesenchyme and pericyte, including JAG1 and APP. The differentiation of pulp cell and pre-odontoblast showed four waves of temporally distinct gene expression, which involved regulation networks of LHX9, DLX5 and SP7 and were regulated by upstream ligands like BMP family.ConclusionWe provided a reference landscape for the research on human early tooth development, covering different spatial structures and developmental periods.

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Single-Cell RNA Sequencing Analysis of Human Dental Pulp Stem Cell and Human Periodontal Ligament Stem Cell

Cited by 25 publications

References 32 publications

Single‐cell transcriptomic analysis of oral masticatory and lining mucosa‐derived mesenchymal stromal cells

Single‐cell transcriptomic analysis of oral masticatory and lining mucosa‐derived mesenchymal stromal cells

Single‐cell RNA sequencing in oral science: Current awareness and perspectives

Spatiotemporal cell landscape of human embryonic tooth development

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