TY - JOUR
T1 - Integration of Single-Cell RNA- and CAGE-seq Reveals Tooth-Enriched Genes
AU - Genomics and Computational Biology Core
AU - Chiba, Yuta
AU - Yoshizaki, K.
AU - Tian, T.
AU - Inoue, Kanako
AU - Martin, D.
AU - Saito, K.
AU - Yamada, A.
AU - Fukumoto, S.
N1 - Funding Information:
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by a grant-in-aid from the Japan Society for the Promotion of Science (KAKENHI: JP17H01606 to S. Fukumoto, JP20K18747 to Y. Chiba, and JP18H03012 to K. Yoshizaki) and the Japan Science and Technology Agency FOREST Program (JPMJFR2013 to K. Yoshizaki). K. Yoshizaki was supported by the Takeda Science Foundation. T. Tian was a DC2 Research Fellow (Japan Society for the Promotion of Science) and supported by an Otsuka-Toshimi Scholarship. This work was also supported in part by the Intramural Research Program of the National Institute of Dental and Craniofacial Research, National Institutes of Health (1ZIADE000720-11); the National Institute of Dental and Craniofacial Research’s Gene Transfer Core Facility (ZIC DE000744-04), Veterinary Resources Core (ZIC DE000740-05), and Combined Technical Research Core Facility (ZIC DE000729-09); and the National Institute on Deafness and Other Communication Disorders’ Genomics and Computational Biology Core (ZIC DC000086).
Publisher Copyright:
© International Association for Dental Research and American Association for Dental, Oral, and Craniofacial Research 2021.
PY - 2022/5
Y1 - 2022/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85133735252&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85133735252&partnerID=8YFLogxK
U2 - 10.1177/00220345211049785
DO - 10.1177/00220345211049785
M3 - Article
AN - SCOPUS:85133735252
SN - 0022-0345
VL - 101
SP - 542
EP - 550
JO - Journal of Dental Research
JF - Journal of Dental Research
IS - 5
ER -