Plasma proteomic analysis of hepatocellular carcinoma based on label-free quantitative technology
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摘要：
采用非标记定量蛋白质组学技术获得10例肝细胞癌患者和10例健康人的血浆样本蛋白质组表达谱数据,并对其细胞定位与功能进行注释分析.利用修正t-检验算法对差异蛋白质进行筛选,通过DAVID平台分析软件对差异蛋白质进行功能注释分析,发现了一系列潜在的肝细胞癌血浆诊断生物标志物,包括16个肝细胞癌血浆上调蛋白质和15个下调蛋白质.此外,还发现了一系列新的候选生物标志物,如EFEMP1,ITH3,CRP,SAA1,LBP和MBL2等.这些肝细胞癌的血浆蛋白质候选标志物可作为临床诊断标志物进行应用,然而由于样本数量较少,仍需开展大队列样本进行验证.
Plasma samples of 10 patients with hepatocellular carcinoma and 10 healthy individuals were collected based on label-free quantitative technology of proteomics.The data of proteome profile were obtained by using label free quantitative technology,and the cellular localization and functional annotation were performed.Then,the modified t-test algorithm was used to screen differentially expressed proteins,and the functional annotation analysis was conducted by David platform analysis software,to obtain potential protein biomarker for clinical diagnosis.A series of potential plasma biomarkers for hepatocellular carcinoma diagnosis were found,including 16 up-regulated proteins and 15 down-regulated proteins.Furthermore,a series of novel biomarkers were found,such as ITH3,CRP,SAA1,LBP and MBL2,etc.Candidate plasma protein biomarkers could be used as clinical diagnostic markers of hepatocellular carcinoma,while large-scale sample validation was needed due to the small number of samples.
作者：
王曼 鄢丹 孟波 荣维淇 戴新华 赵洋
Wang Man;Yan Dan;Meng Bo;Rong Weiqi;Dai Xinhua;Zhao Yang(School of Pharmacy,Chengdu University of TCM,Chengdu 611130,China;Beijing Friendship Hospital,Capital Medical University,Beijing 100050,China;Center for Advanced Measurement Science,National Institute of Metrology,Beijing 102206,China;Cancer Hospital Chinese Academy of Medical Sciences,Beijing 100021,China)
机构地区：
成都中医药大学药学院 首都医科大学附属北京友谊医院 中国计量科学研究院前沿计量科学中心 中国医学科学院肿瘤医院
出处：
《betway官方app 学报：自然科学版》 CAS 北大核心 2022年第1期115-122,共8页
Journal of Henan Normal University(Natural Science Edition)
基金：
国家自然科学基金(21927812) 中国计量科学研究院基本科研项目(AKYZD2111 AKY1934).
关键词：
肝细胞癌 血浆 蛋白质组 LC-MS/MS
hepatocellular carcinoma plasma proteomics LC-MS/MS
分类号：
Q592 [生物学—生物化学]
