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Peer-reviewedCC BY 4.0PLOS Computational Biology

Mapping a differentiation architecture for hard tissue mineralization with large-scale single-cell atlases

  1. 1Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine, Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
  2. 2Medical Research Institute, School of Medicine, Wuhan University, Wuhan, China
  3. 3Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China

Abstract

Mineralization is a critical process in the formation of hard tissues such as bones and teeth, yet the cellular mechanisms underlying this process remain incompletely understood. To address this, we constructed a comprehensive single-cell atlas of tooth development, integrating data from 261,929 cells across 15 projects and encompassing both odontogenesis and amelogenesis. We developed a novel algorithm, TrajDTW, to identify genes with concordant trajectory dynamics across these large-scale datasets, allowing us to detect robust developmental signals. To define a shared mineralization trajectory architecture, we then integrated our tooth atlas with a previously constructed bone atlas. Applying TrajDTW to this combined resource revealed common molecular pathways governing the formation of distinct hard tissues, including bone, enamel, and dentin. Furthermore, cross-species analysis between human and mouse data uncovered cross-species conserved mesenchymal/odontoblast programs. This study provides an unprecedented resource for developmental biology and defines a molecular framework for mineralization that is shared across tissues and species. Author summary: The fundamental genetic rules governing hard tissue formation have long been elusive. In this study, we define a shared mineralization trajectory architecture by creating the most comprehensive single-cell atlas of tooth development to date. We developed a novel algorithm to identify trajectory-concordant gene programs across large-scale datasets and applied it to integrate our tooth atlas with an existing bone atlas. This integrated, cross-species analysis pinpointed the common molecular machinery directing hard-tissue formation. Our work provides an unprecedented resource and a powerful analytical framework, laying the foundation for new regenerative strategies aimed at treating skeletal and dental disorders.

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BibTeX
@article{han2026mapping,
  title = {{Mapping a differentiation architecture for hard tissue mineralization with large-scale single-cell atlases}},
  author = {Litian Han and Yiqian Yu and Mengge Feng and Zishu Lin and Yulan Wang and Ting Xia and Qihang Fan and Huan Liu and Yan Wei and Yufeng Zhang},
  journal = {PLOS Computational Biology},
  year = {2026},
  month = sep,
  doi = {10.1371/journal.pcbi.1014788},
  url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1014788},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Mapping a differentiation architecture for hard tissue mineralization with large-scale single-cell atlases
AU  - Litian Han
AU  - Yiqian Yu
AU  - Mengge Feng
AU  - Zishu Lin
AU  - Yulan Wang
AU  - Ting Xia
AU  - Qihang Fan
AU  - Huan Liu
AU  - Yan Wei
AU  - Yufeng Zhang
PY  - 2026
DA  - 2026/09/21
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1014788
UR  - https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1014788
AB  - Mineralization is a critical process in the formation of hard tissues such as bones and teeth, yet the cellular mechanisms underlying this process remain incompletely understood. To address this, we constructed a comprehensive single-cell atlas of tooth development, integrating data from 261,929 cells across 15 projects and encompassing both odontogenesis and amelogenesis. We developed a novel algorithm, TrajDTW, to identify genes with concordant trajectory dynamics across these large-scale datasets, allowing us to detect robust developmental signals. To define a shared mineralization trajectory architecture, we then integrated our tooth atlas with a previously constructed bone atlas. Applying TrajDTW to this combined resource revealed common molecular pathways governing the formation of distinct hard tissues, including bone, enamel, and dentin. Furthermore, cross-species analysis between human and mouse data uncovered cross-species conserved mesenchymal/odontoblast programs. This study provides an unprecedented resource for developmental biology and defines a molecular framework for mineralization that is shared across tissues and species. Author summary: The fundamental genetic rules governing hard tissue formation have long been elusive. In this study, we define a shared mineralization trajectory architecture by creating the most comprehensive single-cell atlas of tooth development to date. We developed a novel algorithm to identify trajectory-concordant gene programs across large-scale datasets and applied it to integrate our tooth atlas with an existing bone atlas. This integrated, cross-species analysis pinpointed the common molecular machinery directing hard-tissue formation. Our work provides an unprecedented resource and a powerful analytical framework, laying the foundation for new regenerative strategies aimed at treating skeletal and dental disorders.
SN  - 1553-7358
ER  -