中华神经医学杂志
中華神經醫學雜誌
중화신경의학잡지
CHINESE JOURNAL OF NEUROMEDICINE
2010年
5期
480-486
,共7页
肖智权%唐夏%郭纪锋%何丹%沈璐%严新翔%唐北沙
肖智權%唐夏%郭紀鋒%何丹%瀋璐%嚴新翔%唐北沙
초지권%당하%곽기봉%하단%침로%엄신상%당북사
帕金森病%蛋白质相互作用网络%生物信息学
帕金森病%蛋白質相互作用網絡%生物信息學
파금삼병%단백질상호작용망락%생물신식학
Parkinson's disease%Protein interaction network%Bioinformatics
目的 构建帕金森病(PD)相关蛋白质相互作用网络. 方法 应用生物学信息方法 ,采用HGNC、OPHID和UniHI数据库收集所有PD相关蛋白及与PD相关蛋白相互作用的蛋白;利用ProteoLens软件绘制PD相关蛋白质相互作用网络;根据每个蛋白质对PD相关蛋白质相互作用网络的贡献给与评分,得到网络中每个蛋白质的关联系数. 结果 得到一个包含463个PD相关蛋白和767对PD相关蛋白质相互作用的网络,网络聚集度为90.5%(P=0.008);其中SNCA、PARK2、DRD2、HTRA2、NDUFV2、DJl、DRDI、DRD3、TRAPl和ND3关联系数高.提示它们在PD发病机制中存在重要作用;APP、UBE21、CLIC6和UBB也获得了较高的关联系数,说明它们也参与了PD的发病机制;筛选到一些可能与PD发病机制相关的新义蛋白.如FLNA、FREQ、BIRC7、EPB41、EPB41L1、GIPCI、GNAZ、GRB2、KCNJ9、MAPK1、BAG5、CYCS. 结论 成功地构建了一个科学的、实用的PD相关蛋白质相互作用网络.进一步证实了一些蛋白在PD发病机制中的作用,并发现了一些可能与PD发病机制相关的新义蛋白.
目的 構建帕金森病(PD)相關蛋白質相互作用網絡. 方法 應用生物學信息方法 ,採用HGNC、OPHID和UniHI數據庫收集所有PD相關蛋白及與PD相關蛋白相互作用的蛋白;利用ProteoLens軟件繪製PD相關蛋白質相互作用網絡;根據每箇蛋白質對PD相關蛋白質相互作用網絡的貢獻給與評分,得到網絡中每箇蛋白質的關聯繫數. 結果 得到一箇包含463箇PD相關蛋白和767對PD相關蛋白質相互作用的網絡,網絡聚集度為90.5%(P=0.008);其中SNCA、PARK2、DRD2、HTRA2、NDUFV2、DJl、DRDI、DRD3、TRAPl和ND3關聯繫數高.提示它們在PD髮病機製中存在重要作用;APP、UBE21、CLIC6和UBB也穫得瞭較高的關聯繫數,說明它們也參與瞭PD的髮病機製;篩選到一些可能與PD髮病機製相關的新義蛋白.如FLNA、FREQ、BIRC7、EPB41、EPB41L1、GIPCI、GNAZ、GRB2、KCNJ9、MAPK1、BAG5、CYCS. 結論 成功地構建瞭一箇科學的、實用的PD相關蛋白質相互作用網絡.進一步證實瞭一些蛋白在PD髮病機製中的作用,併髮現瞭一些可能與PD髮病機製相關的新義蛋白.
목적 구건파금삼병(PD)상관단백질상호작용망락. 방법 응용생물학신식방법 ,채용HGNC、OPHID화UniHI수거고수집소유PD상관단백급여PD상관단백상호작용적단백;이용ProteoLens연건회제PD상관단백질상호작용망락;근거매개단백질대PD상관단백질상호작용망락적공헌급여평분,득도망락중매개단백질적관련계수. 결과 득도일개포함463개PD상관단백화767대PD상관단백질상호작용적망락,망락취집도위90.5%(P=0.008);기중SNCA、PARK2、DRD2、HTRA2、NDUFV2、DJl、DRDI、DRD3、TRAPl화ND3관련계수고.제시타문재PD발병궤제중존재중요작용;APP、UBE21、CLIC6화UBB야획득료교고적관련계수,설명타문야삼여료PD적발병궤제;사선도일사가능여PD발병궤제상관적신의단백.여FLNA、FREQ、BIRC7、EPB41、EPB41L1、GIPCI、GNAZ、GRB2、KCNJ9、MAPK1、BAG5、CYCS. 결론 성공지구건료일개과학적、실용적PD상관단백질상호작용망락.진일보증실료일사단백재PD발병궤제중적작용,병발현료일사가능여PD발병궤제상관적신의단백.
Objective To construct the protein-protein interaction network of Parkinson's disease (PD) associated proteins. Methods PD-related proteins and their interaction proteins were collected by bioinformatics method from HGNC, OPHID and UniHI database. A protein-protein interaction network of PD associated proteins was designed by ProteoLens software; each protein was evaluated by its contribution to the network and the relevance scores were calculated, thus the coefficient of association of each protein in the network was noted. Results A protein-protein interaction network containing 463 PD associated proteins and 767 their interaction proteins was obtained with its index aggregation reaching 90.5% (P=0.008). The relevance scores of SNCA, PARK2, DRD2, HTRA2,NDUFV2, DJ1, DRD1, DRD3, TRAP1 and ND3 were much higher than that of the others, which indicated their important roles in the pathogenesis of PD. The relevance scores of APP, UBE2I, CLIC6 and UBB were a little higher among all the preteins, indicating that they also participated in the pathogenesis of PD. Some novel proteins, such as FLNA, FREQ, BIRC7, EPB41, EPB41L1, GIPC1,GNAZ, GRB2, KCNJ9, MAPK1, BAG5 and CYC, may also involved in the pathogenesis of PD.Conclusion A scientific and practical protein-protein interaction network of PD associated proteins is successfully constructed, which further confirms the role of some proteins in the pathogenesis of PD.Some novel proteins that might involve in PD are obtained too.