Scientific reports · 2015
Microarray Profiling and Co-Expression Network Analysis of LncRNAs and mRNAs in Neonatal Rats Following Hypoxic-ischemic Brain Damage.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Zhao Fengyan, Qu Yi, Liu Junyan, Liu Haiting, Zhang Li, Feng Yi, Wang Huiqing, Gan Jing, Lu Ruifeng, Mu Dezhi
Аннотация
Long noncoding RNAs (lncRNAs) play critical roles in cellular homeostasis. However, little is known about their effect in developing rat brains with hypoxic-ischemic brain damage (HIBD). To explore the expression and function of lncRNA in HIBD, we analyzed the expression profiles of lncRNAs in hypoxic-ischemic (HI) brains and sham control using microarray analysis. The results showed a remarkable difference in lncRNA between HI and sham brains. A total of 322 lncRNAs were found to be differentially expressed in HI brains, compared to sham control. Among these, BC088414 was one of the most significantly urpregulated lncRNAs. In addition, 375 coding genes were differentially expressed between HI brains and sham control. Pathway and gene ontology analysis indicated that the upregulated coding genes mostly involved in wounding, inflammation and defense, whereas the downregulated transcripts were largely associated with neurogenesis and repair. Moreover, coding non-coding co-expression network analysis showed that the BC088414 lncRNA expression was correlated with apoptosis-related genes, including Casp6 and Adrb2. Silencing of lncRNA BC088414 in PC12 cells caused reduced mRNA level of Casp6 and Adrb2, decreased cell apoptosis and increased cell proliferation. These results suggested lncRNA might participate in the pathogenesis of HIBD via regulating coding genes.
Предметные рубрики MeSH
AnimalsAnimals, NewbornApoptosisCell ProliferationCluster AnalysisComputational BiologyGene Expression ProfilingGene Expression RegulationGene Knockdown TechniquesGene OntologyGene Regulatory NetworksHypoxia-Ischemia, BrainOpen Reading FramesRNA, Long NoncodingRNA, MessengerRatsReproducibility of ResultsSignal TransductionTime FactorsTranscriptome