以蛋白质组学技术筛选人肝细胞癌组织中失调蛋白相互作用的网络分析

Identifying deregulated networks of protein-protein interactions through proteomics analysis of human hepatocellular carcinoma tissue

目的分析从人肝细胞癌(hepatocellular carcinoma,HCC)组织中发现并经验证的失调蛋白相互作用,探讨失调蛋白可能共同参与的生物学途径。方法以蛋白质组学和肝细胞癌为关键词搜索Pubmed数据库,人工筛选出从人HCC组织中发现并经验证的失调蛋白;以蛋白质相互作用数据分析软件PRINCESS分析失调蛋白的相互作用。结果发现8个蛋白间存在9对置信度评分大于2.0的失调蛋白相互作用,APEX1分别与ILF2、PRDX3、ANP32A、MATR3两两相互作用,SULT1A1与PDIA6两两相互作用。结论 APEX1、ILF2、PRDX3、ANP32A、MATR3、IQGAP2可能在HCC发生、发展中经历同一生物学通路。

Objective To analyze human hepatocellular carcinoma tissue using proteomics to identify possible deregulated networks of protein-protein interactions. Methods PubMed was searched using keywords ＂hepatocellular carcinoma＂ and ＂proteomics＂ to identify reports of proteins that are deregulated in the cancerous state. Then the proteins were analyzed for interactions using PRINCESS. Results Nine protein-protein interactions involving 8 proteins were assigned confidence scores 〉2.0：APEX1 interacts directly with ILF2,PRDX3, ANP32A,and MATR3 and indirectly with IQGAP2. SULT1A 1 interacts directly with PDIA6. Conclusion APEXI,ILF2, PRDX3, ANP32A, MATR3, and IQGAP2 may participate in a single network associated with onset and/or progression of hepatocellular carcinoma.