J. Randon

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In functional genomics, the high-throughput methods such as microarrays 1) allow analysis of the relationships between genes considering them as elements of a network and 2) lead to biological interpretations thanks to Gene Ontology. But up to now it has not been possible to find relationships between the functions and the connectivity of the genes in(More)
Left ventricular hypertrophy (LVH) is commonly associated with hypertension and represents an independent cardiovascular risk factor. The aim of this study was to test the hypothesis that the cardiac overload related to hypertension is associated to a specific gene expression pattern independently of genetic background. Gene expression levels were obtained(More)
INTRODUCTION The aim of this work was to identify new renin target genes in left ventricular hypertrophy during hypertension. MATERIALS AND METHODS We compared left ventricle gene expression from four transgenic TGR(mRen2)27 (TG+/-) rats and four non-transgenic littermates (TG-/-) using cDNA macroarray. Hybridisation signals were quantified with a(More)
P-selectin. We investigated the role of P-selectin on the development of vascular lesions in an ApoE(-/-) male mice. Double-knockout (ApoE(-/-), P-selectin(-/-); DKO) were compared to single-knockout (ApoE(-/-); SKO) mice. They were fed a chow or fat diet for 3, 6, 15, and 20 weeks, without any differences in cholesterol levels. DKO mice fed a chow diet(More)
A new statistical method is proposed to identify aggregates of dependent gene expression levels from microarray expression data and to obtain transcriptomic signatures of known subgroups of samples. The method was applied to microarray data of left ventricle tissue samples obtained in different rat models developing hypertension to identify transcriptomic(More)
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