Abstract

Emerging evidence has uncovered that long noncoding RNAs (lncRNAs) and messenger RNAs (mRNAs) exert biofunctions on cellular mineralization and bone formation. In this study, we aimed to identify lncRNA-mRNA expression profiles and expression patterns, and explore their underlying biofunctions during cementoblast mineralization. Cementoblasts were cultured in mineralized medium for 0, 7, and 14 days. We used quantitative real-time polymerase chain reaction (qRT-PCR) and western blot (WB) to detect expression levels of osteocalcin (OCN), bone sialoprotein (BSP), and Osterix (Osx). Alkaline phosphatase (ALP) staining and alizarin red staining (ARS) were conducted to detect ALP activity and number of mineralized nodule. Total RNA was extracted from cells and used for high-throughput sequencing. EBSeq package was applied to analyze differentially expressed genes. Mfuzz R package was used to identify gene expression patterns. The weighted gene co-expression network analysis (WGCNA) was performed to explore co-expressed mRNAs of differentially expressed lncRNAs (DElncRNAs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were adopted by Clusterprofile R package. Cementoblasts were successfully induced by osteogenic medium. Compared with those on day 0, 384 DElncRNAs and 4255 differentially expressed mRNAs (DEmRNAs), respectively, were found on day 7. Meanwhile, 645 DElncRNAs and 4717 DEmRNAs were detected on day 14. Both DElncRNAs and DEmRNAs were classified into six clusters with different expression patterns. DEmRNAs and co-expressed mRNA of DElncRNAs were predominantly related to cell process, binding, phosphatidylinositol-3 kinase (PI3K)-Akt signaling pathway, hypoxia-inducible factor-1 (HIF-1) signaling pathway, mitogen-activated protein kinase (MAPK) signaling pathway, and hippo signaling pathway. The results demonstrated that both noncoding and coding RNAs were involved in the process of mineralization in cementoblasts, which may provide a new database for further study.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.