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Screening of gene expression profiles in gastric epithelial cells induced by Helicobacter pylori using microarray analysis
Author(s) -
Sepulveda A. R.,
Tao H.,
Carloni E.,
Sepulveda J.,
Graham D. Y.,
Peterson L. E.
Publication year - 2002
Publication title -
alimentary pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.308
H-Index - 177
eISSN - 1365-2036
pISSN - 0269-2813
DOI - 10.1046/j.1365-2036.16.s2.4.x
Subject(s) - microarray , microarray analysis techniques , helicobacter pylori , gene , dna microarray , biology , gene chip analysis , gene expression , complementary dna , microbiology and biotechnology , gene expression profiling , cancer research , genetics
Background: H. pylori infection is a major risk factor in gastric cancer development. The availability of cDNA microarrays creates the unprecedented opportunity to examine simultaneously dynamic changes of multiple pathways affected by H. pylori infection. Aim: In this study we examined broad patterns of gene expression induced by H. pylori in the gastric cancer cell line 1739‐CRL AGS cells in culture using the U95A microarray. Methods: H. pylori were cocultured with AGS cells for 4, 12, 24 and 48 h. Total RNA was extracted and after labelling was used for detection of genes represented in the human U95A microarray set. Data analyses were performed using GeneChip and CLUSFAVOR software. Results: Nearly 6000 genes present in the array were expressed by AGS cells. We report approximately 200 genes that showed the most marked changes. Our studies confirm the up‐regulation of c‐ jun , jun ‐B, c‐ fos and cyclin D1 by H. pylori . We report for the first time the induction of the serine threonine kinase pim‐1 and ATF3 by H. pylori infection of AGS cells. Conclusions: In this microarray analysis of gene expression induced by H. pylori in gastric epithelial cells, we identified a large number of unsuspected genes affected by H. pylori . Further, we show that unsupervised hierarchical cluster analysis can provide useful insight into the possible contribution of genes in specific pathways, based on their profile of expression.