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

International Journal of Genomics
Minjung KimJae-Hyung Lee

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 ...Continue Reading

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Citations

Aug 20, 2019·British Journal of Pharmacology·Margherita PuppoPhilippe Clézardin
Aug 8, 2021·International Journal of Molecular Sciences·Byung-Chul KimJae-Hyung Lee

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Datasets Mentioned

BETA
GSE54461

Methods Mentioned

BETA
RNA-Seq
PCA

Software Mentioned

R package “ WGCNA ”
NONCODE
R package DESeq
R Mfuzz
R heatmap
R package Mfuzz
Mfuzz
R
gplots
Ensembl

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