Single-Cell RNA-Sequencing Reveals the Breadth of Osteoblast Heterogeneity

JBMR Plus Volume 5 Issue 6 Page e10496- published_at 2021-03-30
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Title ( eng )
Single-Cell RNA-Sequencing Reveals the Breadth of Osteoblast Heterogeneity
Creator
Yoshioka Hirotaka
Okita Saki
Nakano Masashi
Nubukiyo Asako
Bonnelye Edith
Aubin Jane E
Source Title
JBMR Plus
Volume 5
Issue 6
Start Page e10496
Abstract
The current paradigm of osteoblast fate is that the majority undergo apoptosis, while some further differentiate into osteocytes and others flatten and cover bone surfaces as bone lining cells. Osteoblasts have been described to exhibit heterogeneous expression of a variety of osteoblast markers at both transcriptional and protein levels. To explore further this heterogeneity and its biological significance, Venus-positive (Venus+) cells expressing the fluorescent protein Venus under the control of the 2.3-kb Col1a1 promoter were isolated from newborn mouse calvariae and subjected to single-cell RNA sequencing. Functional annotation of the genes expressed in 272 Venus+ single cells indicated that Venus+ cells are osteoblasts that can be categorized into four clusters. Of these, three clusters (clusters 1 to 3) exhibited similarities in their expression of osteoblast markers, while one (cluster 4) was distinctly different. We identified a total of 1920 cluster-specific genes and pseudotime ordering analyses based on established concepts and known markers showed that clusters 1 to 3 captured osteoblasts at different maturational stages. Analysis of gene co-expression networks showed that genes involved in protein synthesis and protein trafficking between endoplasmic reticulum (ER) and Golgi are active in these clusters. However, the cells in these clusters were also defined by extensive heterogeneity of gene expression, independently of maturational stage. Cells of cluster 4 expressed Cd34 and Cxcl12 with relatively lower levels of osteoblast markers, suggesting that this cell type differs from actively bone-forming osteoblasts and retain or reacquire progenitor properties. Based on expression and machine learning analyses of the transcriptomes of individual osteoblasts, we also identified genes that may be useful as new markers of osteoblast maturational stages. Taken together, our data show much more extensive heterogeneity of osteoblasts than previously documented, with gene profiles supporting diversity of osteoblast functional activities and developmental fates.
Keywords
HETEROGENEITY
OSTEOBLAST
RNA SEQUENCING
SINGLE-CELL
Descriptions
HY, SO, and YY were supported in part by the JSPS KAKENHI, Grants-in-Aid for Scientific Research (17K11613 [HY]; 18K17258 [SO]; 18K19647 [YY]). YY was also supported by the Ono Pharmaceutical Foundation. Part of this work was carried out at the Analysis Center of Life Science, Natural Science Center for Basic Research and Development, Hiroshima University.
Language
eng
Resource Type journal article
Publisher
American Society for Bone and Mineral Research
Date of Issued 2021-03-30
Rights
© 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
Publish Type Version of Record
Access Rights open access
Source Identifier
[ISSN] 2473-4039
[DOI] 10.1002/jbm4.10496
[DOI] https://doi.org/10.1002/jbm4.10496