摘要
目的:应用相对和绝对定量的同位素标记(iTRAQ)结合液相色谱和质谱技术,鉴定和定量分析小鼠心肌梗死模型心脏组织膜蛋白表达。方法:选取C57小鼠,18只,分为正常组和心肌梗死(MI)组,心肌梗死组在建模后14d处死,收取正常组及心肌梗死组小鼠的心脏组织提取蛋白。利用iTRAQ技术检测MI后14d及正常对照心脏组织蛋白,鉴定出具有显著差异表达蛋白质(差异倍数>1.2或<0.8,P<0.05)并结合公共数据信息,探究差异蛋白的生物学信息及信号通路。结果:共检测出1 551种蛋白质,与正常对照组心脏组织相比,MI后14d组有383个蛋白显著升高,有309个蛋白显著降低(均P<0.05)。生物信息学分析差异蛋白发现,MI后14d组蛋白涉及的生物进程主要为补体系统和糖代谢,主要涉及的通路是免疫和糖代谢相关通路。结论:iTRAQ技术可有效地用于组织蛋白鉴定和定量,利于发现胞浆蛋白与急性心肌梗死重塑期病理变化关系,有望为治疗提供潜在靶点。
Objective: To analyze and identify the membrane proteins with myocardial infarction for identification and quantitative analysis using liquid chromatography and mass spectrometry combined isobaric tags for relative and absolute quantification. Methods: 18 C57 mice were divided into 2 groups. MI heart were collected after reperfusion of 14 days after the surgery. Proteomic analysis of heart tissues of both MI and normal controls were performed to identify differentially expressed proteins. To discover the pathways involved in pathological processes,public database were used for bio-informatic analysis. Results: A total of 1 551 proteins were identified.Comparing with normal heart tissue,383 membrane proteins were upregulated and 309 membrane proteins were downregulated. With analysis of differential plasmosins, the main biological processes were energy metabolism and immunological reaction. While the main pathways involved were glycometabolism and immunomodulatory pathways. Conclusions: Quantitative proteomic technology is efficiently applicable for identification and relative quantitation of protein in heart tissue, which could provide more molecule information. This is useful to have a better understanding the relationship between plasmosins and the pathogenesis of myocardial infraction and identification of potential therapeutic targets.
作者
王媛
尤宏钊
任璐
马友才
王绿娅
王雪
杜杰
WANG Yuan;YOU Hongzhao;REN Lu;MA Youcai;WANG Luya;WANG Xue;DU Jie(Beijing Institute Of Heart ,Lung and Blood Vessel Diseases,Belling Anzhen Hospital,Capital Medical University,Beijing 100029,China)
出处
《心肺血管病杂志》
2018年第12期1113-1117,共5页
Journal of Cardiovascular and Pulmonary Diseases
基金
国家重点研发计划精准医学研究重点专项(2017YFC0908400)
关键词
急性心肌梗死
蛋白质组学
生物信息学
膜蛋白
Acute myocardial infraction
Proteomics
Bioinformatics
Membrane protein
