Genome-Wide Expression Profiling Of Long Non-Coding Rnas And Competing Endogenous Rna Networks In Alopecia Areata

MATHEMATICAL BIOSCIENCES AND ENGINEERING(2020)

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摘要
Background: Long non-coding RNAs (lncRNAs) regulate gene expression in concert with microRNAs (miRNAs) and mRNAs. This study was designed to explore the potential roles of lncRNAs and their related competing endogenous RNA (ceRNA) networks in alopecia areata (AA). Methods: This study comprised six participants (three AA patients and three healthy individuals) whose serum lncRNA profiles were evaluated by lncRNA sequencing. Following differential expression analysis, and function enrichment analysis, a lncRNA-miRNA-mRNA network was then constructed using various bioinformatics tools and validated using quantitative reverse-transcription PCR (qRT-PCR). Results: We identified 220 mRNAs and 166 lncRNAs that were differentially expressed in AA patients. The differentially expressed mRNAs were predominantly associated with cytokine-cytokine receptor interactions, MAPK signaling and Ras signaling pathways. The differentially expressed lncRNAs were primarily associated with cytokine-cytokine receptor interactions, chemokine signaling pathways, axon guidance, and legionellosis. In addition, qRT-PCR analyses verified the upregulation of AC005562.1, AF131217.1, and RP11-251G23.5 and downregulation of RP11-231E19.1 in AA patients. Conclusion: We constructed a complex ceRNA network for AA and discovered that various RP11 lncRNAs including RP11-251G23.5 and RP11-231E19 may play a crucial role in the pathogenesis of AA via the regulation of the cytokine-cytokine receptor interaction pathway, which could serve as a therapeutic target for alopecia areata in clinical interventions.
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关键词
sequencing, long non-coding RNAs, competing endogenous RNAs, differential expression analysis, alopecia areata
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