Literature DB >> 11742874

Identification of differentially regulated genes in mildly hyperlipidemic ApoE3-Leiden mice by use of serial analysis of gene expression.

A J Kreeft1, C J Moen, M H Hofker, R R Frants, E Vreugdenhil, M J Gijbels, L M Havekes, N A Datson.   

Abstract

Although genes determining lipoprotein homeostasis and atherosclerosis are the subject of intensive investigation, only a subset of these genes is known at present. Hence, we do not have sufficient knowledge to explain the genetic basis of hyperlipidemia in the majority of subjects. Our aim was to identify novel genes and pathways underlying lipoprotein homeostasis by using serial analysis of gene expression. The liver expression profile of mild hyperlipidemic apolipoprotein E3-Leiden (E3L) transgenic mice was compared with that of the wild-type C57BL/6JIco (B6) mice. Over 18 000 liver transcripts of B6 as well as E3L mice were analyzed, representing >9400 unique genes. One hundred seventy-five genes showed altered expression between the strains (P<0.05). Although several of these genes belonged to known metabolic pathways, such as lipoprotein metabolism, detoxification processes, glycolysis, and the acute-phase response, most were novel. Differential gene expression of 8 of 10 genes tested could be confirmed by Northern blot analysis. This inventory of differentially expressed genes will provide a unique basis for detailed studies to gain more insight into their role in lipoprotein homeostasis and atherosclerosis.

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Year:  2001        PMID: 11742874     DOI: 10.1161/hq1201.100265

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  3 in total

Review 1.  Cardiovascular genomics: a current overview of in vivo and in vitro studies.

Authors:  Devi Mariappan; Johannes Winkler; Jürgen Hescheler; Agapios Sachinidis
Journal:  Stem Cell Rev       Date:  2006       Impact factor: 5.739

2.  Genome-wide mRNA expression analysis of hepatic adaptation to high-fat diets reveals switch from an inflammatory to steatotic transcriptional program.

Authors:  Marijana Radonjic; Jorn R de Haan; Marjan J van Erk; Ko Willems van Dijk; Sjoerd A A van den Berg; Philip J de Groot; Michael Müller; Ben van Ommen
Journal:  PLoS One       Date:  2009-08-14       Impact factor: 3.240

3.  GeneHopper: a web-based search engine to link gene-expression platforms through GenBank accession numbers.

Authors:  B Anders T Svensson; Arja J Kreeft; Gert-Jan B van Ommen; Johan T den Dunnen; Judith M Boer
Journal:  Genome Biol       Date:  2003-04-25       Impact factor: 13.583

  3 in total

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