CTNNA1_1 Network Construction and Analysis of Human Left Brain by Integrative Biocomputation
首发时间:2018-08-31
Abstract:Single molecular functional network construction and analysis of brain is very useful to identify novel and potential targets for the understanding of brain mechanism. This paper integrated an infer method based on linear programming and decomposition procedure with function analysis using Kappa statistics and fuzzy heuristic cluster (DAVID). We first identified the significant molecule CTNNA1_1, then constructed CTNNA1_1 up- and down-stream network by infer and further data-mined CTNNA1_1 modules including nervous system development, membrane, primary metabolic process, organelle, signal transduction and regulation of cellular process from 15 chimpanzee and 14 human left brain samples in the same GEO Dataset GDS2678. Our infer CTNNA1_1 network result showed the different gene rate of the human left brain as 73% (11/15) compared with the control considering activation and inhibition relationship. The different active genes in human left brain include AF016004, GOSR1, LAMP1, SPTLC1 and the different inhibitory genes include ARHGAP12, PPID, RECQL, TFCP2, WIPF2, X81789, SLC39A6. Our integrative analysis showed the positive result of CTNNA1_1 nervous system development and membrane modules through the net effect of activation minus inhibition compared with the control and predicted the increase of CTNNA1_1 nervous system development and membrane in human left brain, whereas the negative result of CTNNA1_1 primary metabolic process, organelle, signal transduction and regulation of cellular process modules and deduced the decrease of CTNNA1_1 primary metabolic process, organelle, signal transduction and regulation of cellular process in human left brain.
keywords: CTNNA1_1 network construction and analysis human left brain integrative biocomputation
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基于整合生物计算的人类左脑CTNNA1_1网络构建与分析
摘要:单分子功能网络的构建与分析,为了解人类左脑机制的新标志物和潜在目标奠定基础。本文结合了基于线性规划及分解过程的推断方法,和Kappa统计与模糊启发式聚类(DAVID)分析,采用GEO数据库GDS2678,首先从15只黑猩猩和14个人类左脑样本的12558个分子中筛选了人类比黑猩猩左脑的显著性高表达分子CTNNA1_1,然后通过推断方法构建了CTNNA1_1的上下游网络,进一步数据挖掘CTNNA1_1参与的模块包括神经系统发育,膜,初级代谢过程,细胞器,信号转导和调节细胞过程。通过考虑激活和抑制关系,与黑猩猩左脑比较,人类左脑中CTNNA1_1网络的基因不同率为73%(11/15)。实验结果表明人类左脑中CTNNA1_1网络的不同激活基因包括AF016004,GOSR1,LAMP1,SPTLC1;不同抑制基因ARHGAP12,PPID,RECQL,TFCP2,WIPF2,X81789,SLC39A6。根据激活基因数减去抑制基因数的净结果,我们的综合分析显示CTNNA1_1参与的神经系统发育和膜是正向结果,同时预测人类左脑中神经系统发育和膜功能是增强的;然而初级代谢过程,细胞器,信号转导和调节细胞过程是负向结果,并预测人类左脑中这些功能是减弱的。
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