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Differential Expression Profiling of Long Noncoding RNA and mRNA during Osteoblast Differentiation in Mouseopen access

Authors
Kim, MinjungYu, YoungseokMoon, Ji-HoiKoh, InSongLee, Jae-Hyung
Issue Date
2018
Publisher
HINDAWI LTD
Citation
INTERNATIONAL JOURNAL OF GENOMICS, v.2018, pp.1 - 14
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF GENOMICS
Volume
2018
Start Page
1
End Page
14
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150867
DOI
10.1155/2018/7691794
ISSN
2314-436X
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.
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