þÿ<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <HTML> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> <title>JBPC Vol. 7, 2, 2007 ABSTRACT </title> </head> <body link="#0000FF"><center><h1><font color="#006600">The Journal of Biological Physics and Chemistry</font></h1></center> <p></p><p></p> <b><center>2007<p>Volume 7, Number 2, p.p. 37-43</center></b> <br> <div> <p><b><font size=+2> Checking consistency between expression data and large scale regulatory networks: a case study </font></b></p> <p> <b> Carito Guziolowski,<sup>1,*</sup> Philippe Veber,<sup>1</sup> Michel Le Borgne,<sup>2</sup> Ovidiu Radulescu<sup>1,3</sup> and Anne Siegel<sup>4</sup> </b> <br> <br> <i> <sup>1</sup>IRISA, INRIA, Rennes, France <br> <sup>2</sup>IRISA, Université de Rennes 1, Rennes, France <br> <sup>3</sup>IRMAR, Université de Rennes 1, Rennes, France <br> <sup>4</sup>IRISA, CNRS, Rennes, France <br> </i></p> <P align=justify> We have previously proposed a qualitative approach to check the compatibility between models of interactions and gene expression data. The purpose of the present work is to validate this methodology in a real-life setting. We study the response of the<i> E. coli </i> regulatory network to nutritional stress, and compare it to publicly available DNA microarray experiments. We show how the incompatibilities we found reveal missing interactions in the network, as well as observations in contradiction with some of available literature. </p> <b>Keywords: </b> qualitative modeling, systems biology, transcriptional networks </p> <br> </div> <p></p> <center><p><i><font size=-1><a href="jbpc20707.html">back to contents</a></font></i></p></center> </body> </html>