Integrated Multi-Omics Profiling Of Early Human Tooth Development

The development of early human tooth primordia is not well understood. Here, we linked single-cell RNA sequencing, spatial transcriptomics, and secretome analysis to characterize human fetal tooth development over time. A spatiotemporal atlas of human tooth development at multiple levels was mapped, identifying previously uncharacterized epithelial subpopulations with distinct gene expression profiles and spatial local- ization. Dynamic changes in epithelial-mesenchymal interactions across developmental stages were charac- terized. Secretome analysis confirmed the extensive paracrine signaling from the epithelial to mesenchymal compartments and uncovered signaling factors produced by dental epithelium (DE) that regulate mesen- chymal cell fate and differentiation. Integration of these datasets highlighted the crucial role of the DE in orchestrating tooth morphogenesis. Our multi-omics approach not only provides unprecedented insights into the cellular and molecular mechanisms of ectoderm-derived tissue development but also serves as a valuable resource, which is publicly available online, for future studies on human tooth regeneration and related diseases.

Authors

Institutions

Publication Details

Journal
International Dental Journal
Published
2025-10-01
DOI
https://doi.org/10.1016/j.identj.2025.105955
Primary Topic
dental development and anomalies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated Multi-Omics Profiling Of Early Human Tooth Development

Ran Zhang
International Dental Journal
dental development and anomalies
article

Integrated Multi-Omics Profiling Of Early Human Tooth Development

Ran Zhang
article en

Abstract

The development of early human tooth primordia is not well understood. Here, we linked single-cell RNA sequencing, spatial transcriptomics, and secretome analysis to characterize human fetal tooth development over time. A spatiotemporal atlas of human tooth development at multiple levels was mapped, identifying previously uncharacterized epithelial subpopulations with distinct gene expression profiles and spatial local- ization. Dynamic changes in epithelial-mesenchymal interactions across developmental stages were charac- terized. Secretome analysis confirmed the extensive paracrine signaling from the epithelial to mesenchymal compartments and uncovered signaling factors produced by dental epithelium (DE) that regulate mesen- chymal cell fate and differentiation. Integration of these datasets highlighted the crucial role of the DE in orchestrating tooth morphogenesis. Our multi-omics approach not only provides unprecedented insights into the cellular and molecular mechanisms of ectoderm-derived tissue development but also serves as a valuable resource, which is publicly available online, for future studies on human tooth regeneration and related diseases.

International Dental JournalVol. 75
Beijing Emergency Medical Center (CN)
Openalex Percentile: Top 71%
dental development and anomalies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integrated Multi-Omics Profiling Of Early Human Tooth Development — Ran Zhang · International Dental Journal (2025) | TGRS Research Map | TGRS