Comprehensive circRNA Expression Profile and Construction of circRNAs-Related ceRNA Network in a Mouse Model of Autism.
Comprehensive circRNA Expression Profile and Construction of circRNAs-Related ceRNA Network in a Mouse Model of Autism.
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自闭症小鼠模型中全面的 circRNA 表达谱和 circRNA 相关 ceRNA 网络的构建
DOI：
10.3389/fgene.2020.623584
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发表时间：
2020
影响因子：
3.7
通讯作者：
Jiang Y
中科院分区：
文献类型：
--
作者：
Wang J;Yang Z;Chen C;Xu Y;Wang H;Liu B;Zhang W;Jiang Y
孤独症是一种严重影响生活质量的常见病。环状RNA（circRNA）在自闭症中的作用在很大程度上尚未探索。我们的目的是检测circRNA的表达谱，并构建一个基于circRNA的竞争性内源性RNA（ceRNA）网络在自闭症。使用丙戊酸在小鼠中建立自闭症的体内模型。通过RNA测序鉴定了自闭症组中总共1，059个差异表达的circRNA（477个上调和582个下调）。通过实时荧光定量PCR检测novel_circ_015779和novel_circ_035247的表达。建立了一个基于改变的circRNA的ceRNA网络，有9,715个节点和150,408条边。进行模块分析，然后进行GO和KEGG途径富集分析。前3位模块均与自闭症相关通路相关，涉及“TGF-β信号通路”、“Notch信号通路”、“MAPK信号通路”、“长期抑郁”、“甲状腺激素信号通路”等。本研究揭示了circRNA参与自闭症发病的新机制。
Autism is a common disease that seriously affects the quality of life. The role of circular RNAs (circRNAs) in autism remains largely unexplored. We aimed to detect the circRNA expression profile and construct a circRNA-based competing endogenous RNA (ceRNA) network in autism. Valproate acid was used to establish an in vivo model of autism in mice. A total of 1,059 differentially expressed circRNAs (477 upregulated and 582 downregulated) in autism group was identified by RNA sequencing. The expression of novel_circ_015779 and novel_circ_035247 were detected by real-time PCR. A ceRNA network based on altered circRNAs was established, with 9,715 nodes and 150,408 edges. Module analysis was conducted followed by GO and KEGG pathway enrichment analysis. The top three modules were all correlated with autism-related pathways involving “TGF-beta signaling pathway,” “Notch signaling pathway,” “MAPK signaling pathway,” “long term depression,” “thyroid hormone signaling pathway,” etc. The present study reveals a novel circRNA involved mechanisms in the pathogenesis of autism.
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影响因子：
4.6
作者：
Eissa N;Jayaprakash P;Azimullah S;Ojha SK;Al-Houqani M;Jalal FY;Łażewska D;Kieć-Kononowicz K;Sadek B
通讯作者：
Sadek B
starBase v2.0：从大规模 CLIP-Seq 数据中解码 miRNA-ceRNA、miRNA-ncRNA 和蛋白质-RNA 相互作用网络
影响因子：
14.9
作者：
Li JH;Liu S;Zhou H;Qu LH;Yang JH
通讯作者：
Yang JH
影响因子：
14.9
作者：
Kanehisa M;Araki M;Goto S;Hattori M;Hirakawa M;Itoh M;Katayama T;Kawashima S;Okuda S;Tokimatsu T;Yamanishi Y
通讯作者：
Yamanishi Y
影响因子：
33.5
作者：
Lu X;Wei Y;Liu F
通讯作者：
Liu F
DOI：
10.1176/appi.ajp.2010.10040484
发表时间：
2010-12
期刊：
The American journal of psychiatry
影响因子：
--
作者：
Feyder M;Karlsson RM;Mathur P;Lyman M;Bock R;Momenan R;Munasinghe J;Scattoni ML;Ihne J;Camp M;Graybeal C;Strathdee D;Begg A;Alvarez VA;Kirsch P;Rietschel M;Cichon S;Walter H;Meyer-Lindenberg A;Grant SG;Holmes A
通讯作者：
Holmes A