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Phosphoproteome Analysis of Invasion and Metastasis-Related Factors in Pancreatic Cancer Cells

机译:磷酸化蛋白质组学分析胰腺癌细胞的侵袭和转移相关因素。

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摘要

Mechanisms of abnormal protein phosphorylation that regulate cell invasion and metastasis in pancreatic cancer remain obscure. In this study, we used high-throughput phosphorylation array to test two pancreatic cancer cell lines (PC-1 cells with a low, and PC-1.0 cells with a high potential for invasion and metastasis). We noted that a total of 57 proteins revealed a differential expression (fold change ≥ 2.0). Six candidate proteins were further validated by western blot with results found to be accordance with the array. Of 57 proteins, 32 up-regulated proteins (e.g. CaMK1-α and P90RSK) were mainly involved in ErbB and neurotrophin signaling pathways as determined using DAVID software, while 25 down-regulated proteins (e.g. BID and BRCA1) were closely involved in apoptosis and p53 signaling pathways. Moreover, four proteins (AKT1, Chk2, p53 and P70S6K) with different phosphorylation sites were found, not only among up-regulated, but also among down-regulated proteins. Importantly, specific phosphorylation sites can affect cell biological functions. CentiScaPe software calculated topological characteristics of each node in the protein-protein interaction (PPI) network: we found that AKT1 owns the maximum node degrees and betweenness in the up-regulation protein PPI network (26 nodes, average path length: 1.89, node degrees: 6.62±4.18, betweenness: 22.23±35.72), and p53 in the down-regulation protein PPI network (17 nodes, average path length: 2.04, node degrees: 3.65±2.47, betweenness: 16.59±29.58). In conclusion, the identification of abnormal protein phosphorylation related to invasion and metastasis may allow us to identify new biomarkers in an effort to develop novel therapeutic drug targets for pancreatic cancer treatment.
机译:调节胰腺癌细胞侵袭和转移的异常蛋白质磷酸化机制仍然不清楚。在这项研究中,我们使用高通量磷酸化阵列来测试两种胰腺癌细胞系(低侵袭和转移潜能的PC-1细胞和高侵袭和转移潜能的PC-1.0细胞)。我们注意到共有57种蛋白质显示出差异表达(倍数变化≥2.0)。通过蛋白质印迹进一步验证了六个候选蛋白,发现结果与阵列一致。使用DAVID软件确定,在57种蛋白中,有32种上调蛋白(例如CaMK1-α和P90RSK)主要参与ErbB和Neurotrophin信号通路,而25种下调蛋白(例如BID和BRCA1)与细胞凋亡和凋亡密切相关。 p53信号通路。此外,不仅在上调的蛋白质中,而且在下调的蛋白质中,发现了具有不同磷酸化位点的四种蛋白质(AKT1,Chk2,p53和P70S6K)。重要的是,特定的磷酸化位点可以影响细胞的生物学功能。 CentiScaPe软件计算了蛋白质-蛋白质相互作用(PPI)网络中每个节点的拓扑特征:我们发现AKT1在上调蛋白质PPI网络中拥有最大节点度和中间度(26个节点,平均路径长度:1.89,节点度) :6.62±4.18,介乎于:22.23±35.72)和下调蛋白PPI网络中的p53(17个节点,平均路径长度:2.04,节点度:3.65±2.47,介乎:16.59±29.58)。总之,鉴定与侵袭和转移相关的异常蛋白磷酸化可能使我们能够鉴定新的生物标记,以努力开发用于胰腺癌治疗的新型治疗药物靶标。

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