Advances in Oral Cavity Stem Cell Research Revealed through Multi-omics Analysis.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Advances in Oral Cavity Stem Cell Research Revealed through Multi-omics Analysis.
Συγγραφείς:	Tsuchida S; Divisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan., Umemura H; Divisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan., Nakajima M; Divisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan., Iizuka K; Divisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan., Shimazaki I; Divisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan., Shikata E; Divisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan., Nakayama T; Divisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan. nakayama.tomohiro@nihon-u.ac.jp.
Πηγή:	Stem cell reviews and reports [Stem Cell Rev Rep] 2026 Jul; Vol. 22 (5), pp. 2143-2158. Date of Electronic Publication: 2026 Apr 18.
Τύπος έκδοσης:	Journal Article; Review
Γλώσσα:	English
Στοιχεία περιοδικού:	Publisher: Springer Country of Publication: United States NLM ID: 101752767 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2629-3277 (Electronic) Linking ISSN: 26293277 NLM ISO Abbreviation: Stem Cell Rev Rep Subsets: MEDLINE
Imprint Name(s):	Publication: 2011- : [New York, NY] : Springer Original Publication: [Totowa, N.J.] : Humana Press, [2009]-
Ιατρικοί όροι (MeSH):	Stem Cells/metabolism , Stem Cells/cytology , Mouth/cytology , Mouth/metabolism , Stem Cell Research*, Proteomics/methods ; Dental Pulp/cytology ; Dental Pulp/metabolism ; Humans ; Multiomics ; Animals
Περίληψη:	Oral stem cell research encompasses the study of dental pulp stem cells, periodontal ligament stem cells, regeneration of dental pulp and periodontal ligament, and therapeutic approaches for dental caries. Dental pulp stem cells, located in the oral cavity, have been applied to tooth, alveolar bone, and periodontal tissue regeneration and are anticipated to exert systemic therapeutic effects. Global efforts to identify biomarkers of oral disease have employed expression proteome analysis. However, because most proteins function only after undergoing post-translational modifications, methods based solely on expression proteomics remain limited. Consequently, increasing attention has focused on characterizing protein modifications. Advances now enable comprehensive measurement of modifications across the omics hierarchy, including the epitranscriptome, phosphoproteome, and metabolome, to clarify the layered interactions among the genome, epigenome, transcriptome, and metabolome. "Multi-omics" denotes the integration of multiple omics layers for analysis. Moreover, several omics layers can now be assessed at single-cell resolution, enabling a more detailed projection of biological phenomena and a more holistic understanding. Recently, multi-omics strategies have also been applied to oral stem cell research. This review summarizes emerging insights into oral cavity stem cell biology obtained through multi-omics approaches. We recognize the limitation that our search strategy relied exclusively on the MEDLINE database in PubMed and did not incorporate additional sources such as gray literature, conference proceedings, or clinical practice guidelines. Multi-omics analysis enables the elucidation of multilayered causal relationships in biological phenomena that were previously inaccessible using conventional single-omics approaches, by integrating multiple layers such as the genome (DNA), transcriptome (RNA), proteome (proteins), and metabolome (metabolites). Looking forward, the integration of AI and machine learning is expected to facilitate early diagnosis of oral diseases, precise patient stratification, and the advancement of personalized medicine.
Competing Interests:	Declarations. Ethics Approval: Not applicable. Consent to Participate: Not applicable. Consent for Publication: Not applicable. Clinical Trial Number: Not applicable. Conflict of interest/Competing interests: The authors declare no competing interests.
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Contributed Indexing:	Keywords: Dental caries; Multi-omics analysis; Oral cavity; Periodontal disease; Stem cell
Entry Date(s):	Date Created: 20260417 Date Completed: 20260627 Latest Revision: 20260627
Update Code:	20260628
DOI:	10.1007/s12015-026-11119-3
PMID:	41998356
Βάση Δεδομένων:	MEDLINE

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ISSN:	2629-3277
DOI:	10.1007/s12015-026-11119-3