The global integrative network:integration of signaling and metabolic pathways
作者机构：Department of DermatologyXuan Wu HospitalBeijing100053China Agricultural Information InstituteChinese Academy of Agricultural ScienceBeijing100081China Key Laboratory of Plant Molecular PhysiologyInstitute of BotanyChinese Academy of SciencesBeijing100093China The Innovative Academy of Seed DesignChinese Academy of SciencesBeijing100101China CAS Key Laboratory of Genomic and Precision MedicineBeijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing100101China
出 版 物：《aBIOTECH》 (生物技术通报（英文版）)
年 卷 期：2022年第3卷第4期
页 面：281-291页
核心收录：
学科分类：0710[理学-生物学] 07[理学] 0836[工学-生物工程] 0701[理学-数学]
主 题：Signaling pathways Metabolic pathways Integration Crosstalk of pathways
摘 要：The crosstalk between signaling and metabolic pathways has been known to play key roles in human diseases and plant biological processes.The integration of signaling and metabolic pathways can provide an essential reference framework for crosstalk analysis.However,current databases use distinct structures to present signaling and metabolic pathways,which leads to the chaos in the integrated networks.Moreover,for the metabolic pathways,the metabolic enzymes and the reactions are disconnected by the current widely accepted layout of edges and nodes,which hinders the topological analysis of the integrated networks.Here,we propose a novel“meta-pathwaystructure,which uses the uniformed structure to display the signaling and metabolic pathways,and resolves the difficulty in linking the metabolic enzymes to the reactions topologically.We compiled a comprehensive collection of global integrative networks(GINs)by merging the meta-pathways of 7077 species.We demonstrated the assembly of the signaling and metabolic pathways using the GINs of four species—human,mouse,Arabidopsis,and rice.Almost all of the nodes were assembled into one major network for each of the four species,which provided opportunities for robust crosstalk and topological analysis,and knowledge graph construction.
维普期刊数据库