Mapping a differentiation architecture for hard tissue mineralization with large-scale single-cell atlases
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.
Authors
- Mengge Feng
- Litian Han (ORCID: https://orcid.org/0009-0000-0293-2467)
- Yiqian Yu
- Qihang Fan (ORCID: https://orcid.org/0000-0002-6115-5503)
- Yan Wei (ORCID: https://orcid.org/0000-0002-2031-7625)
- Yufeng Zhang (ORCID: https://orcid.org/0000-0001-8702-5291)
- Huan Liu (ORCID: https://orcid.org/0000-0002-9947-6687)
- Ting Xia
- Yulan Wang
- Zishu Lin
Institutions
- Wuhan University (CN)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2026-09-21
- DOI
- https://doi.org/10.1371/journal.pcbi.1014788
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00