CAJ | 학술논문

目的利用生物信息学技术,分析和处理相关高通量数据,查找或建立丙型病毒性肝炎导致肝癌发生相关的基因、蛋白质调控网络以及pathway功能注释信息,建立肝癌蛋白质网络,从而阐释丙型病毒性肝炎相关性肝癌动态发展机制.方法通过文本挖掘技术对数据收集及整理,利用倍数变化(FC)方法对GEO数据库中肝癌相关3组基因表达谱芯片进行分析,计算差异表达基因,得到和肝癌相关的数据信息.从GEO数据库中获取两组基因表达谱芯片,利用FC方法得到肝癌阶段的异常表达基因集,再将得到的基因集投射到蛋白质相互作用关系,以得到相应的蛋白质网络.结果 GEO数据库中收集到19张正常组芯片、29张丙型病毒性肝炎肝硬化芯片和16张丙型病毒性肝炎肝硬化伴肝癌芯片,利用FC方法得到肝硬化阶段差异基因1 404个,肝癌阶段1 129个.对基因集进行了GO、Pathway功能注释富集分析以说明其内在含义并验证疾病相关基因收集的结果.利用收集的数据建立了肝癌发生发展过程中的蛋白质相互作用动态网络.结论利用文本挖掘及生物信息学技术收集了肝癌相关基因和蛋白数据,并建立了肝癌发展过程中的动态蛋白质网络.
목적 이용생물신식학기술,분석화처리상관고통량수거,사조혹건립병형병독성간염도치간암발생상관적기인、단백질조공망락이급pathway공능주석신식,건립간암단백질망락,종이천석병형병독성간염상관성간암동태발전궤제.방법 통과문본알굴기술대수거수집급정리,이용배수변화(FC)방법대GEO수거고중간암상관3조기인표체보심편진행분석,계산차이표체기인,득도화간암상관적수거신식.종GEO수거고중획취량조기인표체보심편,이용FC방법득도간암계단적이상표체기인집,재장득도적기인집투사도단백질상호작용관계,이득도상응적단백질망락.결과 GEO수거고중수집도19장정상조심편、29장병형병독성간염간경화심편화16장병형병독성간염간경화반간암심편,이용FC방법득도간경화계단차이기인1 404개,간암계단1 129개.대기인집진행료GO、Pathway공능주석부집분석이설명기내재함의병험증질병상관기인수집적결과.이용수집적수거건립료간암발생발전과정중적단백질상호작용동태망락.결론 이용문본알굴급생물신식학기술수집료간암상관기인화단백수거,병건립료간암발전과정중적동태단백질망락.
Objective To explain the mechanism of dynamidevelopmenof Hepatitiviru(HCV)-related hepatocellulacarcinom(HCC), bioinformaticto analyze and proceshigh-through-pudatiused to search oestablish genes, protein regulatory networkand pathway functional annotation information to establish HCprotein network.MethodThrough texmining technology fodatcollection and datsorting, use the F(multiple) method foGEO database related three groupof livecancegene expression profile chip were analyzed, calculated the differentially of expressed genes, and gelivecancerelated datand information.Gethe two groupof gene expression profile chip from the GEO database, using the method of Fgecanceof the livestageof abnormal gene set, again will be projected on the protein gene seinteraction relations, in ordeto gethe corresponding protein network.ResultGEO database collected 19 normal group chips, 29 pieceof HCV cirrhosiof the liveand 16 HCV livecirrhosiwith livecancechip, Fmethod are used to gethe phase difference gene 1404 cirrhosis, livecancestage, 1129.To GO, Pathway gene sefunctional annotation enrichmenanalysito show the innemeaningand verify the resulof disease related geneto collect.The developmenof livecancewaestablished based on the datcollected in the procesof protein interaction dynaminetwork.Conclusion The study use texmining, and bioinformatictechnology datto colleclivecancerelated gene and protein,and establish the dynamiin the developmenof canceof the liveprotein network, the network can provide cluefothe follow-up study of canceof the liveand support, especially can be used to search fothe diagnosiand treatmenof livecancetargets.