You YH, Song YY, Meng FL, He LH, Zhang MJ, Yan XM, Zhang JZ. Time-series gene expression profiles in AGS cells stimulated with Helicobacter pylori. World J Gastroenterol 2010; 16(11): 1385-1396 [PMID: 20238406 DOI: 10.3748/wjg.v16.i11.1385]
Corresponding Author of This Article
Jian-Zhong Zhang, Professor, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, PO Box 5, Changping District, Beijing 102206, China. zhangjianzhong@icdc.cn
Article-Type of This Article
Original Article
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Yuan-Hai You, Yan-Yan Song, Fan-Liang Meng, Li-Hua He, Mao-Jun Zhang, Xiao-Mei Yan, Jian-Zhong Zhang, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, PO Box 5, Changping District, Beijing 102206, China
Author contributions: You YH and Song YY performed the majority of experiments and wrote the manuscript; Meng FL, He LH, Zhang MJ and Yan XM provided the vital reagents and materials; Zhang JZ designed the study and provided financial support for this work.
Supported by The National Natural Science Foundation of China, No. 39870032; Key Projects in the National Science & Technology Pillar Program in the Eleventh Five-Year Plan Period
Correspondence to: Jian-Zhong Zhang, Professor, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, PO Box 5, Changping District, Beijing 102206, China. zhangjianzhong@icdc.cn
Telephone: +86-10-61739456 Fax: +86-10-61739439
Received: November 22, 2009 Revised: December 14, 2009 Accepted: December 21, 2009 Published online: March 21, 2010
Abstract
AIM: To extend the knowledge of the dynamic interaction between Helicobacter pylori (H. pylori) and host mucosa.
METHODS: A time-series cDNA microarray was performed in order to detect the temporal gene expression profiles of human gastric epithelial adenocarcinoma cells infected with H. pylori. Six time points were selected to observe the changes in the model. A differential expression profile at each time point was obtained by comparing the microarray signal value with that of 0 h. Real-time polymerase chain reaction was subsequently performed to evaluate the data quality.
RESULTS: We found a diversity of gene expression patterns at different time points and identified a group of genes whose expression levels were significantly correlated with several important immune response and tumor related pathways.
CONCLUSION: Early infection may trigger some important pathways and may impact the outcome of the infection.