Evidence map›Paper›PMID 34806461›Full record

ArticleJournal of dental research2022

Integration of Single-Cell RNA- and CAGE-seq Reveals Tooth-Enriched Genes.

Y Chiba, K Yoshizaki, T Tian, K Miyazaki, D Martin, Genomics and Computational Biology Core, K Saito, A Yamada, S Fukumoto

Open access · greenAbstract read
In one paragraph

Article in Journal of dental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Journal of dental research · 2026
    Article
  2. Identification of a Force-Induced Sox9Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. A spatially organizedScience advances · 2025
    Article
  5. Article
  6. Article
  7. Cis-Regulatory Elements in Mammals.International journal of molecular sciences · 2023
    Review
  8. Current Status of Next-Generation Sequencing in Bone Genetic Diseases.International journal of molecular sciences · 2023
    Review
  9. Review
  10. Review
  11. Article
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

9 authors at 3 institutions in 2 countries.

Y ChibaSection of Oral Medicine for Children, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.ORCID 0000-0001-5414-4411
K YoshizakiSection of Orthodontics and Dentofacial Orthopedics, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.
T TianSection of Orthodontics and Dentofacial Orthopedics, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.
K MiyazakiSection of Orthodontics and Dentofacial Orthopedics, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.
D MartinGenomics and Computational Biology Core, National Institute on Deafness and Other Communication Disorders, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD, USA.
Genomics and Computational Biology CoreGenomics and Computational Biology Core, National Institute on Deafness and Other Communication Disorders, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD, USA.
K SaitoDivision of Pediatric Dentistry, Department of Community Social Dentistry, Graduate School of Dentistry, Tohoku University, Sendai, Japan.
A YamadaDivision of Pediatric Dentistry, Department of Community Social Dentistry, Graduate School of Dentistry, Tohoku University, Sendai, Japan.
S FukumotoSection of Oral Medicine for Children, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.
Kyushu University · JPTohoku University · JPNational Institutes of Health · US

Funding

NIDCR DIR Scientific Cores (Combined Technical Research Core)ZICDE000729 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI ABSHARI, MEHRNOOSH · 2009 to 2025
$31.7M
Genomic and Computational Biology Support for NIDCD Intramural ResearchZICDC000086 · NIDCD · NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS · PI MORELL, ROBERT J · 2015 to 2025
$19.8M
Gene Transfer Core, NIDCR-DIRZICDE000744 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI KULKARNI, ASHOK · 2014 to 2023
$12.1M
NIDCR Annual Reports - Veterinary Resources CoreZIGDE000740 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI DAVIDSON, LAUREN · 2012 to 2025
$11.7M
Oral and Craniofacial Development and DiseaseZIADE000720 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI YAMADA, YOSHIHIKO · 2009 to 2017
$6.1M
Intramural NIH HHS ZIA DE000720Intramural NIH HHS ZIC DC000086Intramural NIH HHS ZIC DE000729Intramural NIH HHS ZIC DE000744Intramural NIH HHS ZIG DE000740
6 · The paper itself

Abstract

Organ development is dictated by the regulation of genes preferentially expressed in tissues or cell types. Gene expression profiling and identification of specific genes in organs can provide insights into organogenesis. Therefore, genome-wide analysis is a powerful tool for clarifying the mechanisms of development during organogenesis as well as tooth development. Single-cell RNA sequencing (scRNA-seq) is a suitable tool for unraveling the gene expression profile of dental cells. Using scRNA-seq, we can obtain a large pool of information on gene expression; however, identification of functional genes, which are key molecules for tooth development, via this approach remains challenging. In the present study, we performed cap analysis of gene expression sequence (CAGE-seq) using mouse tooth germ to identify the genes preferentially expressed in teeth. The CAGE-seq counts short reads at the 5'-end of transcripts; therefore, this method can quantify the amount of transcripts without bias related to the transcript length. We hypothesized that this CAGE data set would be of great help for further understanding a gene expression profile through scRNA-seq. We aimed to identify the important genes involved in tooth development via bioinformatics analyses, using a combination of scRNA-seq and CAGE-seq. We obtained the scRNA-seq data set of 12,212 cells from postnatal day 1 mouse molars and the CAGE-seq data set from postnatal day 1 molars. scRNA-seq analysis revealed the spatiotemporal expression of cell type-specific genes, and CAGE-seq helped determine whether these genes are preferentially expressed in tooth or ubiquitously. Furthermore, we identified candidate genes as novel tooth-enriched and dental cell type-specific markers. Our results show that the integration of scRNA-seq and CAGE-seq highlights the genes important for tooth development among numerous gene expression profiles. These findings should contribute to resolving the mechanism of tooth development and establishing the basis for tooth regeneration in the future.

Indexed as

developmental biologyenamelgene expressiongene expression profilingsingle cell sequencingtooth development

Identifiers

PMID34806461
PMCPMC9052834
OpenAlexW3215427244

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.