Evidence map›Paper›PMID 41445584›Full record

ReviewFrontiers in cell and developmental biology2025

Decoding dental mesenchymal stem cells diversity: single-cell transcriptomics maps heterogeneity in molar development.

Ruilin Zhang, Leyi Chen, Wanli Xu, Wenan Xu, Buling Wu

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ruilin Zhang *Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Leyi Chen *Shenzhen Clinical College of Stomatology, School of Stomatology, Southern Medical University, Shenzhen, Guangdong, China.
Wanli XuShenzhen Clinical College of Stomatology, School of Stomatology, Southern Medical University, Shenzhen, Guangdong, China.
Wenan XuShenzhen Clinical College of Stomatology, School of Stomatology, Southern Medical University, Shenzhen, Guangdong, China.
Buling WuShenzhen Clinical College of Stomatology, School of Stomatology, Southern Medical University, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial and temporal differences influence the development of vertebrate teeth in specific cell types, as well as the precise regulation of signalling networks. During early embryogenesis, the odontogenic potential shifts from the dental epithelium to the mesenchyme, initiating subsequent morphogenetic processes. Across the bud, cap, and bell stages, incisors and molars undergo distinct morphological and functional transformations driven by dynamic mesenchymal subpopulations. These subpopulations exhibit temporally specific gene expression profiles and differentiation trajectories, which orchestrate crown-root patterning, odontoblast differentiation, and pulp-stroma interactions. Recent advances in single-cell RNA sequencing (scRNA-seq) have revolutionised our understanding of dental mesenchymal heterogeneity, unveiling previously unidentified progenitor populations and their regulatory networks. By mapping developmental trajectories and intercellular communication, scRNA-seq has elucidated the transition of mesenchymal cells between stat dental papilla precursors, follicle progenitors, and apical papilla stem cells. Furthermore, this technology highlights the functional divergence of mesenchymal stem cells (MSCs) in postnatal teeth, which balance mineralisation, immune modulation, and repair capacities. However,

Indexed as

dental follicledental mesenchymal cellsdental papillaedifferentiationgene expressionsingle-cell RNA-seq

Identifiers

PMID41445584
PMCPMC12723002

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.