Institute of Genomics and Integrative Biology, Council of Scientific and Industrial Research, Mall Road, Delhi University Campus, Delhi 110007, India.
Curr Top Med Chem. 2012;12(9):1008-32. doi: 10.2174/156802612800229189.
Synthesis of genome level expression data related to human epilepsy and animal models of epileptogenesis is a challenge because of differences in the use of animal species and strains, brain regions, methods to trigger epileptogenesis, tissue sampling time-points, epilepsy phenotype assessment, array platforms, normalization algorithms, cutoff points for identifying differentially expressed genes etc. Nevertheless, a comprehensive review of reported analysis identifies chemokine signaling and toll-like receptor signaling as convergent epileptogenic pathways. This transcriptomic evidence is supported by genome-wide association analysis in epilepsy, known effect of small molecules on gene expression, and cellular and molecular studies. The present review thus demonstrates that synthesis of diverse genome level expression analysis in complex brain disorders can identify promising leads in understanding the mechanisms underlying them.
合成与人类癫痫和癫痫发生动物模型相关的基因组水平表达数据是一个挑战,这是因为动物物种和品系、脑区、引发癫痫发生的方法、组织采样时间点、癫痫表型评估、阵列平台、归一化算法、识别差异表达基因的截断点等方面存在差异。然而,对已报道的分析进行全面审查确定趋化因子信号和 Toll 样受体信号作为趋同的致癫痫途径。这种转录组证据得到了癫痫全基因组关联分析、小分子对基因表达的已知影响以及细胞和分子研究的支持。因此,本综述表明,对复杂脑疾病中多样化的基因组水平表达分析进行综合可以确定理解其潜在机制的有希望的线索。