Deciphering chemically-induced reversible neurotoxicity by reconstructing perturbed pathways from time series microarray gene expression data

机译：通过从时间序列微阵列基因表达数据中重建扰动的途径来解密化学诱导的可逆神经毒性

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The etiology of chemically-induced neurotoxicity like seizures is poorly understood. Using reversible neurotoxicity induced by two neurotoxicants as example, we demonstrate that a bioinformatics-guided reverse engineering approach can be applied to analyze time series microarray gene expression data and uncover the underlying molecular mechanism. Our results reinforce previous findings that cholinergic and GABAergic synapse pathways are the target of carbaryl and RDX, respectively. We also conclude that perturbations to these pathways by sublethal concentrations of RDX and carbaryl were temporary, and earthworms were capable of fully recovering at the end of the 7-day recovery phase. In addition, our study indicates that many pathways other than those related to synaptic and neuronal activities were altered during the 6-day exposure phase.

机译：化学诱导的神经毒性如癫痫发作的病因学知之甚少。以两种神经毒剂引起的可逆性神经毒性为例，我们证明了生物信息学指导的逆向工程方法可用于分析时间序列微阵列基因表达数据并揭示潜在的分子机制。我们的结果加强了以前的发现，即胆碱能和GABA能突触途径分别是西维因和RDX的目标。我们还得出结论，亚致死浓度的RDX和西维因对这些途径的干扰是暂时的，and在7天的恢复阶段结束时能够完全恢复。此外，我们的研究表明，在6天的暴露阶段中，除了与突触和神经元活动相关的途径以外，还有许多途径被改变。

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来源
《2013 IEEE International Workshop on Genomic Signal Processing and Statistics》|2013年|45-48|共4页
会议地点 Houston TX(US)
作者
Yang Yi; Li Si; Maxwell Andrew S.; Barker Natalie D. more authors;
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作者单位

School of Computing, University of Southern Mississippi, Hattiesburg, 39406, USA;

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正文语种 eng
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关键词
KEGG pathway; differential gene interaction network; earthworm; reversible neurotoxicity; time course gene expression dataset;

机译：KEGG途径；差异基因相互作用网络； ear；可逆神经毒性；时程基因表达数据集；;

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专利

1. Reconstructing gene regulatory networks from time-series microarray data [J] . Li SP, Tseng JJ, Wang SC Physica, A. Statistical mechanics and its applications . 2005,第1期

机译：从时间序列微阵列数据重建基因调控网络
2. AN EFFECTIVE DATA MINING TECHNIQUE FOR RECONSTRUCTING GENE REGULATORY NETWORKS FROM TIME SERIES EXPRESSION DATA [J] . PATRICK C. H. MA, KEITH C. C. CHAN Journal of Bioinformatics and Computational Biology . 2007,第3期

机译：利用时间序列表达数据重建基因调控网络的有效数据挖掘技术
3. Gene Regulatory Network Inference from Perturbed Time-Series Expression Data via Ordered Dynamical Expansion of Non-Steady State Actors [J] . Mahdi Zamanighomi, Mostafa Zamanian, Michael Kimber, IEEE/ACM transactions on computational biology and bioinformatics . 2018,第4期

机译：通过非稳态状态因子的有序动态扩展从扰动的时间序列表达数据推断基因调控网络
4. Deciphering chemically-induced reversible neurotoxicity by reconstructing perturbed pathways from time series microarray gene expression data [C] . Yang Yi, Li Si, Maxwell Andrew S., IEEE International Workshop on Genomic Signal Processing and Statistics . 2013

机译：通过从时间序列微阵列基因表达数据重建扰动的途径来解除化学诱导的可逆神经毒性
5. Clustering algorithms for time series gene expression in microarray data. [D] . Zhang, Guilin. 2012

机译：微阵列数据中时间序列基因表达的聚类算法。
6. SMARTS: reconstructing disease response networks from multiple individuals using time series gene expression data [O] . Aaron Wise, Ziv Bar-Joseph -1

机译：SMARTS：使用时间序列基因表达数据从多个个体重建疾病反应网络
7. An effective data mining technique for reconstructing gene regulatory networks from time series expression data [O] . Ma PCH, Chan KCC 2007

机译：从时间序列表达数据重建基因调控网络的有效数据挖掘技术

Deciphering chemically-induced reversible neurotoxicity by reconstructing perturbed pathways from time series microarray gene expression data

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