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.

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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
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article

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

Mengge Feng, Litian Han, Yiqian Yu, Qihang Fan et al.
PLoS Computational Biology
Single-cell and spatial transcriptomics
article

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

Mengge Feng, Litian Han, Yiqian Yu, Qihang Fan, Yan Wei, Yufeng Zhang, Huan Liu, Ting Xia, Yulan Wang, Zishu Lin
article en

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.

PLoS Computational BiologyVol. 22(9)
Wuhan University (CN)
Openalex Percentile: Top 18%
Single-cell and spatial transcriptomics
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Mapping a differentiation architecture for hard tissue mineralization with large-scale single-cell atlases — Mengge Feng, Litian Han, et al. · PLoS Computational Biology (2026) | TGRS Research Map | TGRS