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Differential Expression Profiling of Long Noncoding RNA and mRNA during Osteoblast Differentiation in Mouse.
Kim, Minjung; Yu, Youngseok; Moon, Ji-Hoi; Koh, InSong; Lee, Jae-Hyung.
Afiliación
  • Kim M; Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul, Republic of Korea.
  • Yu Y; Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul, Republic of Korea.
  • Moon JH; Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul, Republic of Korea.
  • Koh I; Department of Maxillofacial Biomedical Engineering, School of Dentistry, and Institute of Oral Biology, Kyung Hee University, Seoul, Republic of Korea.
  • Lee JH; Department of Physiology, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Int J Genomics ; 2018: 7691794, 2018.
Article en En | MEDLINE | ID: mdl-29765976
ABSTRACT
Long noncoding RNAs (lncRNAs) are emerging as an important controller affecting metabolic tissue development, signaling, and function. However, little is known about the function and profile of lncRNAs in osteoblastic differentiation in mice. Here, we analyzed the RNA-sequencing (RNA-Seq) datasets obtained for 18 days in two-day intervals from neonatal mouse calvarial pre-osteoblast-like cells. Over the course of osteoblast differentiation, 4058 mRNAs and 3948 lncRNAs were differentially expressed, and they were grouped into 12 clusters according to the expression pattern by fuzzy c-means clustering. Using weighted gene coexpression network analysis, we identified 9 modules related to the early differentiation stage (days 2-8) and 7 modules related to the late differentiation stage (days 10-18). Gene ontology and KEGG pathway enrichment analysis revealed that the mRNA and lncRNA upregulated in the late differentiation stage are highly associated with osteogenesis. We also identified 72 mRNA and 89 lncRNAs as potential markers including several novel markers for osteoblast differentiation and activation. Our findings provide a valuable resource for mouse lncRNA study and improves our understanding of the biology of osteoblastic differentiation in mice.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Genomics Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Genomics Año: 2018 Tipo del documento: Article