Furniss Stephanie K, Yao Robert, Gonzalez Graciela
Arizona State University, Phoenix, AZ.
AMIA Jt Summits Transl Sci Proc. 2014 Apr 7;2014:42-7. eCollection 2014.
This research seeks to extend the process of novel therapeutic gene target discovery for the treatment of Alzheimer's disease (AD). Gene-gene and gene-pathway annotation tools as well as human analysis are used to explore likely connections between potential gene targets and biochemical mechanisms of AD and associated genes. Rule-based annotation systems, such as GeneRanker, can be applied to the continuously growing volume of literature to extract relevant gene lists. The subsequent challenge is to abstract biological significance from associated genes to aid in discovery of novel therapeutic gene targets. Automatic annotation of genes deemed significant by data-driven assays and knowledge-driven analysis is limited. Therefore, human analysis is still crucial to exploring novel gene targets and new disease models. This research illustrates a method of analysis of an extracted gene list which lead to the discovery of KNG1 as a possible therapeutic target, suggests a connection between inflammation and AD pathogenesis.
本研究旨在拓展用于治疗阿尔茨海默病（AD）的新型治疗性基因靶点的发现过程。利用基因-基因和基因-通路注释工具以及人工分析，来探索潜在基因靶点与AD生化机制及相关基因之间可能的联系。基于规则的注释系统，如GeneRanker，可应用于不断增加的文献量，以提取相关基因列表。随后的挑战是从相关基因中提取生物学意义，以协助发现新型治疗性基因靶点。通过数据驱动分析和知识驱动分析被视为重要的基因的自动注释是有限的。因此，人工分析对于探索新型基因靶点和新疾病模型仍然至关重要。本研究阐述了一种对提取的基因列表进行分析的方法，该方法导致发现KNG1作为一个可能的治疗靶点，提示了炎症与AD发病机制之间的联系。
