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Sökning: WFRF:(Verheij J) > (2004) > Phenotype character...

Phenotype characterisation using integrated gene transcript, protein and metabolite profiling

Oresic, Matej, 1967- (författare)
Beyond Genomics Inc., Waltham, USA; VTT Biotechnology, Espoo, Finland
Clish, Clary B. (författare)
Beyond Genomics Inc., Waltham, USA
Davidov, Eugene J. (författare)
Beyond Genomics Inc., Waltham, USA; Molecular Biophysics and Biochemistry, Yale University, New Haven, USA
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Verheij, Elwin (författare)
TNO Pharma, Zeist, The Netherlands
Vogels, Jack (författare)
TNO Pharma, Zeist, The Netherlands
Havekes, Louis M. (författare)
Gaubius Laboratorium, TNO Prevention and Health, Leiden, The Netherlands; Leiden/Amsterdam Center for Drug Research and the Departments of Cardiology and Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
Neumann, Eric (författare)
Beyond Genomics Inc., Waltham, USA; Aventis, Cambridge, USA
Adourian, Aram (författare)
Beyond Genomics Inc., Waltham, USA
Naylor, Stephen (författare)
Beyond Genomics Inc., Waltham, USA; Boston University School of Medicine, Boston, USA
van der Greef, Jan (författare)
Beyond Genomics Inc., Waltham, USA; TNO Pharma, Zeist, The Netherlands; Leiden/Amsterdam Center for Drug Research and the Departments of Cardiology and Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
Plasterer, Thomas (författare)
Beyond Genomics Inc., Waltham, USA
visa färre...
Beyond Genomics Inc, Waltham, USA; VTT Biotechnology, Espoo, Finland Beyond Genomics Inc., Waltham, USA (creator_code:org_t)
Adis International Ltd. 2004
2004
Engelska.
Ingår i: Applied bioinformatics. - : Adis International Ltd.. - 1175-5636. ; 3:4, s. 205-217
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Multifactorial diseases present a significant challenge for functional genomics. Owing to their multiple compartmental effects and complex biomolecular activities, such diseases cannot be adequately characterised by changes in single components, nor can pathophysiological changes be understood by observing gene transcripts alone. Instead, a pattern of subtle changes is observed in multifactorial diseases across multiple tissues and organs with complex associations between corresponding gene, protein and metabolite levels. This article presents methods for exploratory and integrative analysis of pathophysiological changes at the biomolecular level. In particular, novel approaches are introduced for the following challenges: (i) data processing and analysis methods for proteomic and metabolomic data obtained by electrospray ionisation (ESI) liquid chromatography-tandem mass spectrometry (LC/MS); (ii) association analysis of integrated gene, protein and metabolite patterns that are most descriptive of pathophysiological changes; and (iii) interpretation of results obtained from association analyses in the context of known biological processes. These novel approaches are illustrated with the apolipoprotein E3-Leiden transgenic mouse model, a commonly used model of atherosclerosis. We seek to gain insight into the early responses of disease onset and progression by determining and identifying--well in advance of pathogenic manifestations of disease--the sets of gene transcripts, proteins and metabolites, along with their putative relationships in the transgenic model and associated wild-type cohort. Our results corroborate previous findings and extend predictions for three processes in atherosclerosis: aberrant lipid metabolism, inflammation, and tissue development and maintenance.

Ämnesord

NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)

Nyckelord

Enzyme Commission
Kernel Principal Component Analysis
Normal Chow Diet
Bioanalytical Platform
Biomolecular Component

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