Abstract:Abstract: Autism spectrum disorder (ASD) is a neurobehavioral disorder with high heritability, clinical he-terogeneity and biological complexity. It is necessary to identify functional modules and hub genes related to ASD. Herein, ASD related genes were obtained from disease-gene databases and imported into STRING database for protein-protein interaction (PPI) network construction. Then module analysis and hub gene selection were performed by MCODE algorithm. Subsequently, KEGG pathway 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 182 related genes were screened from disease-gene databases. These overlapped genes were translated into PPI network consisting of 171 nodes and 1 041 edges, including NRXN1, GRIN2B, GRIN2A, DLG4, NLGN3, MECP2, CNTNAP2, BDNF, NLGN4X and FMR1 with higher degree. Five functional modules including 68 hub genes were extracted using MCODE algorithm. KEGG enrichment analysis of detected modules revealed that these modules are related to cell adhesion molecules, calcium signaling pathway, neuroactive ligand-receptor interaction and dopaminergic synapse. The results suggested that most of the ASD functional modules and hub genes are concentrated in neuronal activity, signal molecules and signaling transduction, and the interaction of each module affects the occurrence and development of ASD.
引用本文:
许逸聪, 胡婉雪, 谢 芹, 赵洪波, 唐 欣. 基于蛋白质互作网络挖掘自闭症谱系障碍的功能模块与核心基因[J]. 生命科学研究, 2020, 24(3): 214-221.
XU Yi-cong, HU Wan-xue, XIE Qin, ZHAO Hong-bo, TANG Xin. Identification of Functional Modules and Hub Genes in Autism Spectrum Disorder Based on Protein-Protein Interaction Network Analysis. Life Science Research, 2020, 24(3): 214-221.