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10 November 2015 : Laboratory Research  

Potential Role of lncRNAs in Contributing to Pathogenesis of Intervertebral Disc Degeneration Based on Microarray Data

Yu ChenBC, Haijian NiBD, Yingchuan ZhaoBC, Kai ChenC, Ming LiAEF, Cheng LiE, Xiaodong ZhuF, Qiang FuF

DOI: 10.12659/MSM.894638

Med Sci Monit 2015; 21:3449-3458


BACKGROUND: Our study intended to identify potential long non-coding RNAs (lncRNAs) and genes, and to elucidate the underlying mechanisms of intervertebral disc degeneration (IDD).

MATERIAL AND METHODS: The microarray of GSE56081 was downloaded from the Gene Expression Omnibus database, including 5 human control nucleus pulposus tissues and 5 degenerative nucleus pulposus tissues, which was on the basis of GPL15314 platform. Identification of differentially expressed lncRNAs and mRNAs were performed between the 2 groups. Then, gene ontology (GO) and pathway enrichment analyses were performed to analyze the biological functions and pathways for the differentially expressed mRNAs. Simultaneously, lncRNA-mRNA weighted coexpression network was constructed using the WGCNA package, followed by GO and KEGG pathway enrichment analyses for the genes in the modules. Finally, the protein-protein interaction (PPI) network was visualized.

RESULTS: A total of 135 significantly up- and 170 down-regulated lncRNAs and 2133 significantly up- and 1098 down-regulated mRNAs were identified. Additionally, UBA52 (ubiquitin A-52 residue ribosomal protein fusion product 1), with the highest connectivity degree in PPI network, was remarkably enriched in the pathway of metabolism of proteins. Eight lncRNAs – LINC00917, CTD-2246P4.1, CTC-523E23.5, RP4-639J15.1, RP11-363G2.4, AC005082.12, MIR132, and RP11-38F22.1 – were observed in the modules of lncRNA-mRNA weighted coexpression network. Moreover, SPHK1 in the green-yellow module was significantly enriched in positive regulation of cell migration.

CONCLUSIONS: LncRNAs LINC00917, CTD-2246P4.1, CTC-523E23.5, RP4-639J15.1, RP11-363G2.4, AC005082.12, MIR132, and RP11-38F22.1 were differentially expressed and might play important roles in the development of IDD. Key genes, such as UBA52 and SPHK1, may be pivotal biomarkers for IDD.

Keywords: Biomarkers - metabolism, Databases, Genetic, Gene Expression Profiling, Gene Expression Regulation, gene ontology, Intervertebral Disc Degeneration - genetics, Oligonucleotide Array Sequence Analysis, Protein Interaction Mapping, RNA, Long Noncoding - genetics, RNA, Messenger - metabolism



12 September 2022 : Editorial  

Editorial: Treatment with Dual Incretin Receptor Agonists to Maintain Normal Glucose Levels May Also Maintain Normal Weight and Control Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD)

Ana Luisa Ordóñez-Vázquez, Sofía Murúa Beltrán-Gall, Shreya C. Pal, Nahum Méndez-Sánchez
Liver Research Unit, Medica Sur Clinic Foundation, Mexico City, Mexico

DOI: 10.12659/MSM.938365

Med Sci Monit 2022; 28:e938365


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Med Sci Monit In Press; DOI: 10.12659/MSM.938141  

12 September 2022 : Clinical Research  

Effect of Vitamin D Concentration on Course of COVID-19

Med Sci Monit In Press; DOI: 10.12659/MSM.937741  

In Press

26 Sep 2022 : Clinical Research  

Distribution and Determinants of Plasma Homocysteine Levels in a Preconception Population: A Retrospective ...

Med Sci Monit In Press; DOI: 10.12659/MSM.937987  

26 Sep 2022 : Clinical Research  

Latency and Interpeak Interval Values of Auditory Brainstem Response in 73 Individuals with Normal Hearing

Med Sci Monit In Press; DOI: 10.12659/MSM.937847  

23 Sep 2022 : Review article  

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Med Sci Monit In Press; DOI: 10.12659/MSM.937738  

23 Sep 2022 : Review article  

Review of the Long-Term Outcomes of Guided Bone Regeneration and Autologous Bone Block Augmentation for Ver...

Med Sci Monit In Press; DOI: 10.12659/MSM.937433  

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750