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Integrative biological analysis of the APOE*3-leiden transgenic mouse
Beyond Genomics, Inc., Waltham, Massachusetts, USA.
Beyond Genomics, Inc., Waltham, Massachusetts, USA.
Beyond Genomics, Inc., Waltham, Massachusetts, USA.ORCID iD: 0000-0002-2856-9165
Beyond Genomics, Inc., Waltham, Massachusetts, USA.
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2004 (English)In: Omics, ISSN 1536-2310, E-ISSN 1557-8100, Vol. 8, no 1, p. 3-13Article in journal (Refereed) Published
Abstract [en]

Integrative (or systems biology) is a new approach to analyzing biological entities as integrated systems of genetic, genomic, protein, metabolite, cellular, and pathway events that are in flux and interdependent. Here, we demonstrate the application of intregrative biological analysis to a mammalian disease model, the apolipoprotein E3-Leiden (APO*E3) transgenic mouse. Mice selected for the study were fed a normal chow diet and sacrificed at 9 weeks of age-conditions under which they develop only mild type I and II atherosclerotic lesions. Hepatic mRNA expression analysis showed a 25% decrease in APO A1 and a 43% increase in liver fatty acid binding protein expression between transgenic and wild type control mice, while there was no change in PPAR-alpha expression. On-line high performance liquid chromatography-mass spectrometry quantitative profiling of tryptic digests of soluble liver proteins and liver lipids, coupled with principle component analysis, enabled rapid identification of early protein and metabolite markers of disease pathology. These included a 44% increase in L-FABP in transgenic animals compared to controls, as well as an increase in triglycerides and select bioactive lysophosphatidylcholine species. A correlation analysis of identified genes, proteins, and lipids was used to construct an interaction network. Taken together, these results indicate that integrative biology is a powerful tool for rapid identification of early markers and key components of pathophysiologic processes, and constitute the first application of this approach to a mammalian system.

Place, publisher, year, edition, pages
Mary Ann Liebert, 2004. Vol. 8, no 1, p. 3-13
National Category
Bioinformatics and Systems Biology
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URN: urn:nbn:se:oru:diva-70890DOI: 10.1089/153623104773547453ISI: 000222245000002PubMedID: 15107233Scopus ID: 2-s2.0-11144355343OAI: oai:DiVA.org:oru-70890DiVA, id: diva2:1345873
Available from: 2019-08-26 Created: 2019-08-26 Last updated: 2019-09-06Bibliographically approved

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Oresic, Matej

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