Title: Microarray screening for target genes of the proto-oncogene PLAG1
Authors: Voz, Marianne L ×
Mathys, Janick
Hensen, Karen
Pendeville, Hélène
Van Valckenborgh, Isabelle
Van Huffel, Christophe
Chavez, Marcela
Van Damme, Boudewijn
De Moor, Bart
Moreau, Yves
Van de Ven, Willem #
Issue Date: Jan-2004
Publisher: Scientific & Medical Division, Macmillan Press
Series Title: Oncogene vol:23 issue:1 pages:179-191
Abstract: PLAG1 is a proto-oncogene whose ectopic expression can trigger the development of pleomorphic adenomas of the salivary glands and of lipoblastomas. As PLAG1 is a transcription factor, able to activate transcription through the binding to the consensus sequence GRGGC(N)(6-8)GGG, its ectopic expression presumably results in the deregulation of target genes, leading to uncontrolled cell proliferation. The identification of PLAG1 target genes is therefore a crucial step in understanding the molecular mechanisms involved in PLAG1-induced tumorigenesis. To this end, we analysed the changes in gene expression caused by the conditional induction of PLAG1 expression in fetal kidney 293 cell lines. Using oligonucleotide microarray analyses of about 12 000 genes, we consistently identified 47 genes induced and 12 genes repressed by PLAG1. One of the largest classes identified as upregulated PLAG1 targets consists of growth factors such as the insulin-like growth factor II and the cytokine-like factor 1. The in silico search for PLAG1 consensus sequences in the promoter of the upregulated genes reveals that a large proportion of them harbor several copies of the PLAG1-binding motif, suggesting that they represent direct PLAG1 targets. Our approach was complemented by the comparison of the expression profiles of pleomorphic adenomas induced by PLAG1 versus normal salivary glands. Concordance between these two sets of experiments pinpointed 12 genes that were significantly and consistently upregulated in pleomorphic adenomas and in PLAG1-expressing cells, identifying them as putative PLAG1 targets in these tumors.
ISSN: 0950-9232
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Centre of Microbial and Plant Genetics
Electrical Engineering - miscellaneous
Department of Human Genetics - miscellaneous
Translational Cell & Tissue Research
Associated Laboratories - miscellaneous (-)
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science