• JIAN-AN HUANG

      Articles written in Journal of Biosciences

    • CircRNA expression profiling and bioinformatics analysis indicate the potential biological role and clinical significance of circRNA in influenza A virus-induced lung injury

      JIAJIA WANG YANBING ZHANG FENGFENG ZHU LILING CHEN YAO WEI QINGQING ZHU JUNHONG JIANG JIAN-AN HUANG QIANG GUO YANG XINJING

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      Circular RNA (circRNA) plays an important role in the regulation of multiple biological processes. However,circRNA profiling and the potential biological role of circRNA in influenza Avirus (IAV)-induced lung injury havenot been investigated. In the present study, circRNA expression profiles in lung tissues frommice with and withoutIAV-induced lung injury were analyzed using high-throughput sequencing, and differentially expressed circRNAswere verified by quantitative PCR. The gene homology of candidate circRNAs was investigated and the expressionof plasma circRNAs frompatients with IAV-induced acute respiratory distress syndrome (ARDS)was detected. Thetarget microRNAs (miRNAs) of circRNAswere predicted.GeneOntology (GO) andKyoto Encyclopedia ofGenesand Genomes (KEGG) analyses were performed. In total, 781 circRNAs were differentially expressed betweenARDS mice and control (467 were up-regulated and 314 were down-regulated).Moreover, the candidate circRNAs(Slco3a1,Nfatc2,Wdr33, andDmd) expression showed the same trendwith the sequencing results. The isoforms ofcircRNA Slco3a1 and Wdr33 were highly conserved between humans and mice. Plasma circRNA Slco3a1 andWdr33 presented differential expression in patients with IAV-induced ARDS compared to control. The circRNAmiRNAinteraction network and GO and KEGG analyses indicated the potential biological role of circRNAs in thedevelopment of IAV-induced lung injury. Taken together, a large number of differentially expressed circRNAs wereidentified in our study. CircRNA Slco3a1 andWdr33 had significantly different expression in specimens from miceand humans, and showed a potential biological role in IAV-induced lung injury by bioinformatics analysis.

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