肝細胞癌轉(zhuǎn)移相關(guān)蛋白的iTRAQ定量蛋白質(zhì)組學(xué)研究
發(fā)布時間:2018-11-03 14:09
【摘要】:該研究對不同轉(zhuǎn)移能力的人肝癌細胞系全細胞蛋白進行差異蛋白質(zhì)組分析,以期發(fā)現(xiàn)與肝癌轉(zhuǎn)移相關(guān)的候選分子。選擇具有高、低轉(zhuǎn)移能力的人肝癌細胞系HCCLM6和MHCC97H為研究材料,提取細胞全蛋白,FASP酶切、iTRAQ標(biāo)記后進行質(zhì)譜鑒定和定量分析,并利用Uni Prot數(shù)據(jù)庫和GOfact軟件對差異蛋白進行生物信息學(xué)分析,包括亞細胞定位、生物過程和分子功能富集分析。共鑒定了5 033種蛋白質(zhì),其中5 013種蛋白質(zhì)有定量信息,發(fā)現(xiàn)91種差異蛋白(|ratio|≥1.5,單樣本t檢驗,P0.05),其中39種蛋白在高轉(zhuǎn)移細胞HCCLM6中上調(diào),52種下調(diào)。差異蛋白的細胞定位主要為細胞質(zhì)和細胞膜,GO分析顯著富集到細胞黏附生物過程和蛋白結(jié)合生物功能。該研究建立了高低轉(zhuǎn)移能力的人肝癌細胞系HCCLM6和MHCC97H細胞全蛋白的差異表達譜,發(fā)現(xiàn)了4種新的與肝癌轉(zhuǎn)移相關(guān)的候選蛋白(微管蛋白鏈β-2B、著絲粒蛋白F、層黏連蛋白亞基α5和囊泡相關(guān)膜蛋白5),為進一步研究肝癌轉(zhuǎn)移機制提供了重要的數(shù)據(jù)參考。
[Abstract]:In order to find candidate molecules related to metastasis of human hepatocellular carcinoma cell lines, the differential proteome analysis was carried out for different metastatic abilities of human hepatoma cell lines. Human hepatoma cell lines HCCLM6 and MHCC97H with high and low metastatic ability were selected as the research materials. The whole cell proteins were extracted, FASP was digested and labeled with iTRAQ, then identified by mass spectrometry and quantitatively analyzed. Uni Prot database and GOfact software were used for bioinformatics analysis of differential proteins, including subcellular localization, bioprocess and molecular function enrichment analysis. A total of 5 033 proteins were identified, including 5 013 proteins with quantitative information. 91 differential proteins (ratio 鈮,
本文編號:2308021
[Abstract]:In order to find candidate molecules related to metastasis of human hepatocellular carcinoma cell lines, the differential proteome analysis was carried out for different metastatic abilities of human hepatoma cell lines. Human hepatoma cell lines HCCLM6 and MHCC97H with high and low metastatic ability were selected as the research materials. The whole cell proteins were extracted, FASP was digested and labeled with iTRAQ, then identified by mass spectrometry and quantitatively analyzed. Uni Prot database and GOfact software were used for bioinformatics analysis of differential proteins, including subcellular localization, bioprocess and molecular function enrichment analysis. A total of 5 033 proteins were identified, including 5 013 proteins with quantitative information. 91 differential proteins (ratio 鈮,
本文編號:2308021
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