Identification of core pathways based on attractor and crosstalk in ischemic stroke.
Identification of core pathways based on attractor and crosstalk in ischemic stroke.
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基于缺血性中风中的吸引子和串扰的核心途径鉴定。
DOI：
10.3892/etm.2017.5563
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发表时间：
2018-03
影响因子：
2.7
通讯作者：
Liu A
中科院分区：
文献类型：
--
作者：
Diao X;Liu A
缺血性中风是世界范围内死亡和残疾的主要原因。从高通量的实验数据中发现异常调节的信号通路是一项重要的任务。收集E-GEOD-16561的基因表达谱。从京都基因和基因组百科全书的数据库获得途径，并使用相互作用基因的检索来下载蛋白质-蛋白质相互作用集。应用吸引子和串扰方法筛选失调的通路。在缺血性脑卒中中共鉴定出20个差异表达基因。根据P<0.01确定了39条显著差异的通路，用RP 250确定了28条通路<0.01 and 17 pathways were identified with impact factor >。在这三个标准的基础上，确定了11个重要的功能失调的途径。其中，EB病毒感染是最显著的差异途径。总之，利用基于吸引子和串扰的方法，识别出显著功能失调的通路。这些信号通路有望为缺血性脑卒中的发生提供分子机制，并为缺血性脑卒中的治疗提供新的潜在靶点。
Ischemic stroke is a leading cause of mortality and disability around the world. It is an important task to identify dysregulated pathways which infer molecular and functional insights existing in high-throughput experimental data. Gene expression profile of E-GEOD-16561 was collected. Pathways were obtained from the database of Kyoto Encyclopedia of Genes and Genomes and Retrieval of Interacting Genes was used to download protein-protein interaction sets. Attractor and crosstalk approaches were applied to screen dysregulated pathways. A total of 20 differentially expressed genes were identified in ischemic stroke. Thirty-nine significant differential pathways were identified according to P<0.01 and 28 pathways were identified with RP<0.01 and 17 pathways were identified with impact factor >250. On the basis of the three criteria, 11 significant dysfunctional pathways were identified. Among them, Epstein-Barr virus infection was the most significant differential pathway. In conclusion, with the method based on attractor and crosstalk, significantly dysfunctional pathways were identified. These pathways are expected to provide molecular mechanism of ischemic stroke and represents a novel potential therapeutic target for ischemic stroke treatment.
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影响因子：
12.3
作者：
Hung JH;Whitfield TW;Yang TH;Hu Z;Weng Z;DeLisi C
通讯作者：
DeLisi C
影响因子：
5.8
作者：
Sásik, R;Calvo, E;Corbeil, J
通讯作者：
Corbeil, J
影响因子：
5.8
作者：
Al-Shahrour, F;Díaz-Uriarte, R;Dopazo, J
通讯作者：
Dopazo, J
影响因子：
14.9
作者：
Franceschini A;Szklarczyk D;Frankild S;Kuhn M;Simonovic M;Roth A;Lin J;Minguez P;Bork P;von Mering C;Jensen LJ
通讯作者：
Jensen LJ
影响因子：
9.9
作者：
Barr, T. L.;Conley, Y.;Matarin, M.
通讯作者：
Matarin, M.