Microarray Analysis Identifies the Potential Role of Long Non-Coding RNA in Regulating Neuroinflammation during Japanese Encephalitis Virus Infection.
Microarray Analysis Identifies the Potential Role of Long Non-Coding RNA in Regulating Neuroinflammation during Japanese Encephalitis Virus Infection.
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微阵列分析确定长非编码 RNA 在日本脑炎病毒感染期间调节神经炎症中的潜在作用
DOI:
10.3389/fimmu.2017.01237
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发表时间:
2017
影响因子:
7.3
通讯作者:
Cao S
中科院分区:
文献类型:
--
作者:
Li Y;Zhang H;Zhu B;Ashraf U;Chen Z;Xu Q;Zhou D;Zheng B;Song Y;Chen H;Ye J;Cao S
Japanese encephalitis virus (JEV) is the leading cause of epidemic encephalitis worldwide. JEV-induced neuroinflammation is characterized by profound neuronal cells damage accompanied by activation of glial cells. Albeit long non-coding RNAs (lncRNAs) have been emerged as important regulatory RNAs with profound effects on various biological processes, it is unknown how lncRNAs regulate JEV-induced inflammation. Here, using microarray approach, we identified 618 lncRNAs and 1,007 mRNAs differentially expressed in JEV-infected mice brain. The functional annotation analysis revealed that differentially regulated transcripts were predominantly involved in various signaling pathways related to host immune and inflammatory responses. The lncRNAs with their potential to regulate JEV-induced inflammatory response were identified by constructing the lncRNA-mRNA coexpression network. Furthermore, silencing of the two selected lncRNAs (E52329 and N54010) resulted in reducing the phosphorylation of JNK and MKK4, which are known to be involved during inflammatory response. Collectively, we first demonstrated the transcriptomic landscape of lncRNAs in mice brain infected with JEV and analyzed the coexpression network of differentially regulated lncRNAs and mRNAs during JEV infection. Our results provide a better understanding of the host response to JEV infection and suggest that the identified lncRNAs may be used as potential therapeutic targets for the management of Japanese encephalitis.
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影响因子:
14.9
作者:
Kambara H;Niazi F;Kostadinova L;Moonka DK;Siegel CT;Post AB;Carnero E;Barriocanal M;Fortes P;Anthony DD;Valadkhan S
通讯作者:
Valadkhan S
影响因子:
7
作者:
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者:
Hubbard TJ
DOI:
10.1126/science.1240925
发表时间:
2013-08-16
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Carpenter S;Aiello D;Atianand MK;Ricci EP;Gandhi P;Hall LL;Byron M;Monks B;Henry-Bezy M;Lawrence JB;O'Neill LA;Moore MJ;Caffrey DR;Fitzgerald KA
通讯作者:
Fitzgerald KA
影响因子:
10.5
作者:
Cabili, Moran N.;Trapnell, Cole;Rinn, John L.
通讯作者:
Rinn, John L.
影响因子:
5.4
作者:
Chen, CJ;Chen, JH;Raung, SL
通讯作者:
Raung, SL