上海口腔医学 ›› 2024, Vol. 33 ›› Issue (1): 1-5.doi: 10.19439/j.sjos.2024.01.001

• 论著 • 上一篇    下一篇

口腔黏膜成纤维细胞的单细胞转录组特征

赵炅, 白果, 杨驰   

  1. 上海交通大学口腔医学院附属第九人民医院 口腔外科,上海交通大学口腔医学院,国家口腔医学中心, 国家口腔疾病临床医学研究中心,上海市口腔医学重点实验室,上海市口腔医学研究所,上海 200011
  • 收稿日期:2023-02-16 修回日期:2023-03-06 出版日期:2024-02-25 发布日期:2024-03-07
  • 通讯作者: 杨驰,E-mail: yangchi63@hotmail.com
  • 作者简介:赵炅(1997-),女,在读硕士研究生,E-mail: 1024430518@qq.com
  • 基金资助:
    国家自然科学基金面上项目(82271038); 上海市科学技术委员会人才计划-科技创新行动计划启明星项目(23QC1401000)

Single-cell transcriptome characterization of oral mucosal fibroblasts

ZHAO Jiong, BAI Guo, YANG Chi   

  1. Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology; Shanghai Research Institute of Stomatology. Shanghai 200011, China
  • Received:2023-02-16 Revised:2023-03-06 Online:2024-02-25 Published:2024-03-07

摘要: 目的: 探讨正常口腔黏膜和皮肤组织之间的成纤维细胞亚型构成及功能异同,建立两者间统一的成纤维细胞亚型分类,明确其功能异同,为组织修复和再生提供研究基础。方法: 通过整合分别来自口腔黏膜及皮肤的4个单细胞数据库,提取其中的成纤维细胞亚群,使用harmony消除批次效应后,统一流形逼近与投影降维、聚类后将成纤维细胞亚群进行分类,通过基因集富集结果对其功能进行分析。采用R 4.2.0软件包对数据进行统计学分析。结果: 共分离得到8个不同功能的成纤维细胞亚群,其功能分别与细胞外基质构成、免疫和收缩相关,在口腔黏膜与皮肤内存在统计学构成比差异。结论: 成纤维细胞作为组织稳态的重要组成部分,在伤口愈合过程中起到关键作用。整合分析来自多个部位的正常皮肤组织和口腔黏膜的成纤维细胞转录数据,明确了健康状态下两者之间的亚群构成及功能差异,为提高转录组水平上对口腔黏膜和皮肤稳态和细胞功能的理解提供基础。

关键词: 口腔黏膜, 成纤维细胞, 单细胞转录组学

Abstract: PURPOSE: To elucidate the disparities and similarities in the composition and function of fibroblast subtypes between normal oral mucosa and cutaneous tissue, to establish a unified classification of fibroblast subtypes between these two tissue types, comprehend the differences and similarities in their functionalities, and provide a foundational basis for future applications in the fields of tissue repair and regeneration. METHODS: Four single-cell databases from both oral mucosa and cutaneous tissue were integrated and fibroblast subpopulations were extracted. Batch effects were eliminated using Harmony, and fibroblast subpopulations were subsequently classified via UMAP (Uniform Manifold Approximation and Projection) clustering. The functional analysis of these subpopulations was conducted through gene set enrichment results. Statistical analysis was performed with R 4.2.0 software package. RESULTS: Eight distinct functional fibroblast subpopulations were defined, and their functions were found to be associated with the composition of the extracellular matrix, immunity, and contraction. Statistical analysis revealed differences in the composition ratios of these subpopulations between oral mucosa and skin tissue. CONCLUSIONS: To evaluate the role of fibroblasts in tissue homeostasis and wound healing accomplished by integrating and analyzing fibroblasts from normal skin and oral mucosal tissue from various sites, this study identifies the differences in fibroblast subpopulation composition and function between these two tissue types in healthy conditions, and provides an understanding of oral mucosa and skin homeostasis and cellular function at the transcriptomic level. The findings of this study may serve as a basis for future research in this area.

Key words: Oral mucosa, Fibroblasts, Single-cell gene expression analysis

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