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Experimental Cell Research
Volume 299, Issue 2, 1 October 2004, Pages 286-293
 
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doi:10.1016/j.yexcr.2004.06.014    
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Copyright © 2004 Elsevier Inc. All rights reserved.

Angiogenesis gene expression profiling in xenograft models to study cellular interactions

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Victor L.J.L. Thijssena, Ricardo J.M.G.E. Brandwijka, Ruud P.M. Dingsa, b and Arjan W. Griffioena, Corresponding Author Contact Information, E-mail The Corresponding Author

aAngiogenesis Laboratory, Research Institute for Growth and Development (GROW), Departments of Internal Medicine and Pathology, University Maastricht and University Hospital Maastricht, 6202 AZ Maastricht, The Netherlands

bDepartment of Biochemistry, University of Minnesota, Minneapolis, MN 55455, USA


Received 2 April 2004; 
revised 11 June 2004. 
Available online 20 July 2004.

Abstract

The present study describes a method to simultaneously obtain the angiogenic expression profile in tumor cells and vascular cells of a single tumor. Human- and mouse-specific primers were used for quantitative real-time RT-PCR to determine the expression of vascular endothelial growth factors A, B, C, and D, vascular endothelial growth factor receptors 1, 2, and 3, neuropilin 1 and 2, angiopoietin 1, 2, 3/4, tyrosine kinase receptors 1 and 2, basic fibroblast growth factor (bFGF) in xenograft tumors obtained by injection of human ovarian carcinoma cells in nude mice. In addition, the effect of treatment with anginex and taxol on the expression profile was analyzed. Most factors were expressed higher in vascular cells as compared to tumor cells. In response to treatment, tumor cells significantly upregulated bFGF expression and downregulated VEGF receptor expression. This was accompanied by downregulation of VEGF-B and -D, and upregulation of angiopoietin-3 as well as angiopoetin receptors in nontumor cells. In conclusion, real-time qRT-PCR combined with xenograft tumor models presents a sensitive method to monitor angiogenesis and to analyze interactions between tumor cells and nontumor cells in vivo. The approach can be applied to different research fields in which xenograft models are used.

Keywords: Quantitative real-time RT-PCR; Xenograft; Ovarian carcinoma; Angiogenesis

Article Outline

Introduction
Materials and methods
Cell cultures
Tumor models
Immunohistochemistry
RNA isolation and cDNA synthesis
Primer design
Quantitative real-time RT-PCR
Statistical analysis
Results
Discussion
Acknowledgements
References






Corresponding Author Contact InformationCorresponding author. Department of Pathology, Maastricht University and University Hospital Maastricht, PO Box 5800, 6202 AZ Maastricht, The Netherlands. Fax: +31 43 3876613

Experimental Cell Research
Volume 299, Issue 2, 1 October 2004, Pages 286-293
 
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