Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8566, Japan.
Research Fellow of Japan Society for the Promotion of Science, 5-3-1 Kojimachi, Chiyoda-ku, Tokyo, 102-0083, Japan.
BMC Genet. 2015 Feb 5;16:9. doi: 10.1186/s12863-015-0170-7.
Cell migration plays a major role in a variety of normal biological processes, and a detailed understanding of the associated mechanisms should lead to advances in the medical sciences in areas such as cancer therapy. Previously, we developed a simple chip, based on transfected-cell microarray (TCM) technology, for the identification of genes related to cell migration. In the present study, we used the TCM chip for high-throughput screening (HTS) of a kinome siRNA library to identify genes involved in the motility of highly invasive NBT-L2b cells.
We performed HTS using TCM coupled with a programmed image tracer to capture time-lapse fluorescence images of siRNA-transfected cells and calculated speeds of cell movement. This first screening allowed us to identify 52 genes. After quantitative PCR (qPCR) and a second screening by a conventional transfection method, we confirmed that 32 of these genes were associated with the migration of NBT-L2b cells. We investigated the subcellular localization of proteins and levels of expression of these 32 genes, and then we used our results and databases of protein-protein interactions (PPIs) to construct a hypothetic but comprehensive signal network for cell migration.
The genes that we identified belonged to several functional categories, and our pathway analysis suggested that some of the encoded proteins functioned as the hubs of networks required for cell migration. Our signal pathways suggest that epidermal growth factor receptor (EGFR) is an upstream regulator in the network, while Src and GRB2 seem to represent nodes for control of respective the downstream proteins that are required to coordinate the many cellular events that are involved in migration. Our microarray appears to be a useful tool for the analysis of protein networks and signal pathways related to cancer metastasis.
细胞迁移在多种正常的生物学过程中起着重要作用,对相关机制的深入了解应该会推动癌症治疗等医学领域的进步。此前,我们基于转染细胞微阵列(TCM)技术开发了一种简单的芯片,用于鉴定与细胞迁移相关的基因。在本研究中,我们使用 TCM 芯片对激酶组 siRNA 文库进行高通量筛选(HTS),以鉴定参与高度侵袭性 NBT-L2b 细胞迁移的基因。
我们使用 TCM 结合编程图像示踪剂进行 HTS,以捕获 siRNA 转染细胞的延时荧光图像并计算细胞运动速度。第一次筛选使我们鉴定出 52 个基因。经过定量 PCR(qPCR)和传统转染方法的第二次筛选,我们确认其中 32 个基因与 NBT-L2b 细胞的迁移有关。我们研究了这些基因编码蛋白的亚细胞定位和表达水平,然后利用我们的结果和蛋白质-蛋白质相互作用(PPI)数据库构建了一个假设但全面的细胞迁移信号网络。
我们鉴定的基因属于几个功能类别,我们的通路分析表明,一些编码蛋白作为细胞迁移所需网络的枢纽发挥作用。我们的信号通路表明,表皮生长因子受体(EGFR)是网络的上游调节剂,而 Src 和 GRB2 似乎代表了控制各自所需下游蛋白的节点,这些蛋白需要协调涉及迁移的许多细胞事件。我们的微阵列似乎是分析与癌症转移相关的蛋白质网络和信号通路的有用工具。