Gene cataloging and expression profiling in human gastric cancer cells by expressed sequence tags

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Title
Gene cataloging and expression profiling in human gastric cancer cells by expressed sequence tags
Author(s)
Nam-Soon Kim; Yoonsoo Hahn; Jung Hwa Oh; Ju-Yeon Lee; Kyung Jin Oh; Jeong-Min Kim; Hong-Seog Park; Sang Soo Kim; K S Song; S M Rho; Hyang Sook Yoo; Yong Sung Kim
Bibliographic Citation
Genomics, vol. 83, no. 6, pp. 1024-1045
Publication Year
2004
Abstract
To understand the molecular mechanism associated with gastric carcinogenesis, we identified genes expressed in gastric cancer cell lines and tissues. of 97,609 high-quality ESTs sequenced from 36 cDNA libraries, 92,545 were coalesced into 10,418 human Unigene clusters (Build 151). The gene expression profile was produced by counting the cluster frequencies in each library. Although the profiles of highly expressed genes varied greatly from library to library, those genes related to cell structure formation, heat shock proteins, the glycolysis pathway, and the signaling pathway were highly represented in human gastric cancer cell lines and in primary tumors. Conversely, the genes encoding immunoglobulins, ribosomal proteins, and digestive proteins were down-regulated in gastric cancer cell lines and tissues compared to normal tissues. The transcription levels of some of these genes were confirmed by RT-PCR. We found that genes related to cell adhesion, apoptosis, and cytoskeleton formation were particularly up-regulated in the gastric cancer cell lines established from malignant ascites compared to those from primary tumors. This comprehensive molecular profiling of human gastric cancer should be useful for elucidating the genetic events associated with human gastric cancer.
Keyword
ESTExpression profilingGastric cancerMetastasis
ISSN
0888-7543
Publisher
Elsevier
DOI
http://dx.doi.org/10.1016/j.ygeno.2003.12.002
Type
Article
Appears in Collections:
Division of Biomedical Research > Rare Disease Research Center > 1. Journal Articles
Division of Biomedical Research > Genome Editing Research Center > 1. Journal Articles
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