Colorectal Cancer
Copyright ©The Author(s) 2003. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Aug 15, 2003; 9(8): 1734-1738
Published online Aug 15, 2003. doi: 10.3748/wjg.v9.i8.1734
Transcriptional gene expression profiles of HGF/SF-met signaling pathway in colorectal carcinoma
Xue-Nong Li, Yan-Qing Ding, Guo-Bing Liu
Xue-Nong Li, Yan-Qing Ding, Department of Pathology, First Military Medical University, Guangzhou 510515, Guangdong Province, China
Guo-Bing Liu, Department of Obstetrics & Gynecology, Nanfang Hospital, Guangzhou 510515, Guangdong Province, China
Author contributions: All authors contributed equally to the work.
Supported by National Natural Science Foundation of China, No. 30170486 and No.30170423
Correspondence to: Dr. Xue-Nong Li, Department of Pathology, First Military Medical University, Guangzhou 510515, Guangdong Province, China. leexue0@163.com
Telephone: +86-20-61648223
Received: December 28, 2002
Revised: January 6, 2003
Accepted: April 1, 2003
Published online: August 15, 2003
Abstract

AIM: To explore the transcriptional gene expression profiles of HGF/SF-met signaling pathway in colorectal carcinoma to understand mechanisms of the signaling pathway at so gene level.

METHODS: Total RNA was isolated from human colorectal carcinoma cell line LoVo treated with HGF/SF (80 ng/L) for 48 h. Fluorescent probes were prepared from RNA labeled with cy3-dUTP for the control groups and with cy5-dUTP for the HGF/SF-treated groups through reverse-transcription. The probes were mixed and hybridized on the microarray at 60 °C for 15-20 h, then the microarray was scanned by laser scanner (GenePix 4000B). The intensity of each spot and ratios of Cy5/Cy3 were analyzed and finally the differentially expressed genes were selected by GenePix Pro 3.0 software. 6 differential expression genes (3 up-regulated genes and 3 down-regulated genes) were selected randomly and analyzed by β-actin semi-quantitative RT-PCR.

RESULTS: The fluorescent intensities of built-in negative control spots were less than 200, and the fluorescent intensities of positive control spots were more than 5000. Of the 4004 human genes analyzed by microarray, 129 genes (holding 3.22% of the investigated genes) revealed differential expression in HGF/SF-treated groups compared with the control groups, of which 61 genes were up-regulated (holding 1.52% of the investigated genes) and 68 genes were down-regulated (holding 1.70% of the investigated genes), which supplied abundant information about target genes of HGF/SF-met signaling.

CONCLUSION: HGF/SF-met signaling may up-regulate oncogenes, signal transduction genes, apoptosis-related genes, metastasis related genes, and down-regulate a number of genes. The complexity of HGF/SF-met signaling to control the gene expression is revealed as a whole by the gene chip technology.

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