摘要
目的应用同位素标记相对和绝对定量技术(iTRAQ)与纳升液相色谱-串联质谱(Nano LC-MS/MS)技术分析类风湿关节炎(RA)患者血清差异表达蛋白。方法收集44例早期RA患者及50例健康体检者血清标本,采用iTRAQ联合Nano LC-MS/MS对差异表达蛋白进行筛选与生物信息学分析。结果质谱鉴定分析共鉴定差异表达蛋白113种,呈上调趋势的41种,呈下调趋势的72种。KEGG通路分析,发现差异表达蛋白主要富集于补体和凝血级联反应、金黄色葡萄球菌感染等12条KEGG通路。通过STRING蛋白-蛋白相互作用网络分析发现,AHSG、FN1等蛋白是蛋白-蛋白相互作用网络的关键节点,是研究RA机制的候选蛋白。结论通过iTRAQ和蛋白质组学技术成功得到了早期RA血清差异表达蛋白,为早期RA的诊断及其发病机制分析提供了理论依据。
Objective To analyze differentially expressed proteins in the serum of patients with rheumatoid arthritis(RA)by isobaric tags for relative and absolute quantitation technology(iTRAQ)connected with Nano LC-MS/MS technology.Methods Serum differential proteins were screened and analyzed in 44 early RA patients and 50 healthy people by iTRAQ combined with Nano LC-MS/MS.Results A total of 113 differentially expressed proteins were identified,41 types were up-regulated and 72 types were down-regulated.KEGG pathway analysis were performed for differentially expressed proteins,the results showed that the differential proteins were mainly concentrated in KEGG pathways including Staphylococcus aurers infection by supplementation and coagulation cas cade.STRING analysis showed that AHSG,FN1 and some other proteins were the key nodes of PIP network,and they were candidate proteins for studying RA mechanisms.Conclusion The serum differential proteins of RA have been obtained successfully by iTRAQ connected with proteomics technology,which provides a theoretical basis for the diagnosis and pathogenesis of RA.
作者
刘琴
严小倩
胡红兵
LIU Qin;YAN Xiaoqian;HU Hongbing(Department of Blood Transfusion,Wuhan Children′s Hospital Affiliated to Tongji College,Huazhong University of Science and Technology,Wuhan,Hubei 430015,China;Department of Clinical Laboratory,Tongde Hospital of Zhejiang Province,Hangzhou,Zhejiang 310012,China;Department of Nephrology,Tongde Hospital of Zhejiang Province,Hangzhou,Zhejiang 310012,China)
出处
《国际检验医学杂志》
CAS
2020年第16期1926-1929,1934,共5页
International Journal of Laboratory Medicine
基金
浙江省科学技术厅分析测试项目(2018C37008)。
关键词
类风湿关节炎
蛋白质组学
同位素标记相对和绝对定量技术
rheumatoid arthritis
proteomics
isobaric tags for relative and absolute quantitation technology