Abstract:Abstract: Schizophrenia (SCZ) is a complex mental illness that affects human health and quality of life. But its pathogenesis is still unclear. It is necessary to elucidate the molecular pathogenesis and identify functional modules related to SCZ. Herein, protein-protein interaction knowledge was used as a guide to expand the number of SCZ risk genes into an SCZ-specific gene network. Next, the network was decomposed by using Newman spectral algorithm to obtain functional modules. Then the topological properties and hub genes of each module were identified according to the topological analysis and Poisson distribution test. Enrichment analysis of each functional module was performed for evaluating the interactions between the functional modules based on the enriched pathway categories. A total of 14 functional modules were obtained, all of which had scale-free properties. Topological analysis of these modules identified a total of 102 hub genes, most of which (e.g. EGFR, HAX1, IL1R1, RALGDS, etc.) proved to be associated with SCZ, while the rest (e.g. SVIL, DNAJA1, RABAC1, STX6, etc.) might be novel risk genes. Further bioinformatic functional analysis of KEGG databases revealed that these modules were involved in multiple pathogenic biological pathways (e.g. apoptosis, ErbB signaling pathway, cell cycle, phospholipase D signaling pathway, PI3K-Akt signaling pathway, etc). Functional modules analysis showed that most of these specific modules did not appear to function in an isolated way; instead, they interacted with each other to influence the occurrence and development of SCZ, having a shared pathogenesis.
引用本文:
廖苑君, 陈应坚, 赵小蕾, 孙胜南, 林 帆, 覃继恒, 饶绍奇. 基于生物分子网络分析的精神分裂症功能模块挖掘[J]. 生命科学研究, 2019, 23(5): 384-392.
LIAO Yuan-jun, CHEN Ying-jian, ZHAO Xiao-lei, SUN Sheng-nan, LIN Fan, QIN Ji-heng, RAO Shao-qi. Identification of Schizophrenia Functional Modules Based on Biomolecular Network Analysis. Life Science Research, 2019, 23(5): 384-392.