TY - JOUR
T1 - Identification of kinases and regulatory proteins required for cell migration using a transfected cell-microarray system
AU - Onuki-Nagasaki, Reiko
AU - Nagasaki, Akira
AU - Hakamada, Kazumi
AU - Uyeda, Taro Q.P.
AU - Miyake, Masato
AU - Miyake, Jun
AU - Fujita, Satoshi
N1 - Funding Information:
This work was supported by a Research Fellowship from the Japan Society for the Promotion of Science for Young Scientists (no. 40105) and by the Ministry of Education, Culture, Sports, Science, and Technology of Japan [Grant-in-Aid for Scientific Research (C) no. 23570244; Grant-in-Aid for Challenging Exploratory Research no. 25560216; Grant-in-Aid for Scientific Research on Innovative Areas-Molecular Soft-Interface Science no. 23106725], and by the National Institute of Advanced Industrial Science and Technology (AIST) in Japan. This study was performed as part of “The Project for Development of Analytic Technology for Gene Functions with Cell Arrays”, funded by the New Energy and Industrial Technology Development Organization (NEDO) of Japan. The authors also thank the Genome Network Platform for pathway analysis and Ms. Naomi Kuriki for her technical assistance.
Publisher Copyright:
© 2015 Onuki-Nagasaki et al. licensee BioMed Central Ltd.
PY - 2015/2/5
Y1 - 2015/2/5
N2 - Background: 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. Results: 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. Conclusions: 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.
AB - Background: 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. Results: 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. Conclusions: 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.
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U2 - 10.1186/s12863-015-0170-7
DO - 10.1186/s12863-015-0170-7
M3 - Article
C2 - 25652422
AN - SCOPUS:84961531445
SN - 1471-2156
VL - 16
JO - BMC Genetics
JF - BMC Genetics
IS - 1
M1 - 9
ER -