From the ‡Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Scheelesväg 2, SE-17 177 Stockholm, Sweden.
From the ‡Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Scheelesväg 2, SE-17 177 Stockholm, Sweden
Mol Cell Proteomics. 2018 Jun;17(6):1144-1155. doi: 10.1074/mcp.RA118.000610. Epub 2018 Mar 23.
Chemotherapeutics cause the detachment and death of adherent cancer cells. When studying the proteome changes to determine the protein target and mechanism of action of anticancer drugs, the still-attached cells are normally used, whereas the detached cells are usually ignored. To test the hypothesis that proteomes of detached cells contain valuable information, we separately analyzed the proteomes of detached and attached HCT-116, A375, and RKO cells treated for 48 h with 5-fluorouracil, methotrexate and paclitaxel. Individually, the proteomic data on attached and detached cells had comparable performance in target and drug mechanism deconvolution, whereas the combined data significantly improved the target ranking for paclitaxel. Comparative analysis of attached detached proteomes provided further insight into cell life and death decision making. Six proteins consistently up- or downregulated in the detached attached cells regardless of the drug and cell type were discovered; their role in cell death/survival was tested by silencing them with siRNA. Knocking down USP11, CTTN, ACAA2, and EIF4H had anti-proliferative effects, affecting UHRF1 additionally sensitized the cells to the anticancer drugs, while knocking down RNF-40 increased cell survival against the treatments. Therefore, adding detached cells to the expression proteomics analysis of drug-treated cells can significantly increase the analytical value of the approach. The data have been deposited to the ProteomeXchange with identifier PXD007686.
化疗药物会导致贴壁癌细胞脱落和死亡。在研究蛋白质组变化以确定抗癌药物的蛋白质靶标和作用机制时,通常使用仍附着的细胞,而脱落的细胞通常被忽略。为了验证脱落细胞的蛋白质组中包含有价值信息的假设,我们分别分析了用氟尿嘧啶、甲氨蝶呤和紫杉醇处理 48 小时的 HCT-116、A375 和 RKO 细胞的附着和脱落细胞的蛋白质组。单独来看,附着和脱落细胞的蛋白质组数据在靶标和药物机制推断方面具有相当的性能,而组合数据则显著提高了紫杉醇的靶标排名。附着和脱落细胞蛋白质组的比较分析进一步深入了解了细胞生死决策。发现了六个在附着和脱落细胞中始终上调或下调的蛋白质,无论药物和细胞类型如何;通过 siRNA 沉默这些蛋白质,测试它们在细胞死亡/存活中的作用。敲低 USP11、CTTN、ACAA2 和 EIF4H 具有抗增殖作用,额外敲低 UHRF1 可使细胞对抗癌药物敏感,而敲低 RNF-40 可增加细胞对治疗的存活能力。因此,将脱落细胞添加到药物处理细胞的表达蛋白质组分析中可以显著提高该方法的分析价值。该数据集已被 ProteomeXchange 以标识符 PXD007686 进行了存储。