Authors' Affiliations: Departments of Biochemistry, Biomedical Informatics, Surgery, Cancer Biology, and Biostatistics; and Jim Ayers Institute for Precancer Detection and Diagnosis, Vanderbilt University School of Medicine, Nashville, Tennessee.
Cancer Res. 2014 Jan 1;74(1):387-97. doi: 10.1158/0008-5472.CAN-13-2488. Epub 2013 Nov 18.
A growing body of genomic data on human cancers poses the critical question of how genomic variations translate to cancer phenotypes. We used standardized shotgun proteomics and targeted protein quantitation platforms to analyze a panel of 10 colon cancer cell lines differing by mutations in DNA mismatch repair (MMR) genes. In addition, we performed transcriptome sequencing (RNA-seq) to enable detection of protein sequence variants from the proteomic data. Biologic replicate cultures yielded highly consistent proteomic inventories with a cumulative total of 6,513 protein groups with a protein false discovery rate of 3.17% across all cell lines. Networks of coexpressed proteins with differential expression based on MMR status revealed impact on protein folding, turnover and transport, on cellular metabolism and on DNA and RNA synthesis and repair. Analysis of variant amino acid sequences suggested higher stability of proteins affected by naturally occurring germline polymorphisms than of proteins affected by somatic protein sequence changes. The data provide evidence for multisystem adaptation to MMR deficiency with a stress response that targets misfolded proteins for degradation through the ubiquitin-dependent proteasome pathway. Enrichment analysis suggested epithelial-to-mesenchymal transition in RKO cells, as evidenced by increased mobility and invasion properties compared with SW480. The observed proteomic profiles demonstrate previously unknown consequences of altered DNA repair and provide an expanded basis for mechanistic interpretation of MMR phenotypes.
越来越多的人类癌症基因组数据提出了一个关键问题,即基因组变异如何转化为癌症表型。我们使用标准化的鸟枪法蛋白质组学和靶向蛋白质定量平台,分析了一组 10 种结肠癌细胞系,这些细胞系的 DNA 错配修复 (MMR) 基因发生了突变。此外,我们还进行了转录组测序 (RNA-seq),以能够从蛋白质组数据中检测到蛋白质序列变体。生物学重复培养产生了高度一致的蛋白质组学图谱,共有 6513 个蛋白质组,所有细胞系的蛋白质假发现率为 3.17%。基于 MMR 状态的差异表达的共表达蛋白质网络揭示了对蛋白质折叠、周转和运输、细胞代谢以及 DNA 和 RNA 合成和修复的影响。变异氨基酸序列的分析表明,受自然发生的种系多态性影响的蛋白质比受体细胞蛋白质序列变化影响的蛋白质更稳定。这些数据为 MMR 缺陷的多系统适应提供了证据,其应激反应通过泛素依赖性蛋白酶体途径靶向错误折叠的蛋白质进行降解。富集分析表明 RKO 细胞发生了上皮-间充质转化,与 SW480 相比,RKO 细胞的迁移和侵袭特性增加。观察到的蛋白质组图谱显示了改变的 DNA 修复的先前未知后果,并为 MMR 表型的机制解释提供了扩展的基础。