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Ly-Verdú, S. ; Schäfer, A. ; Kahle-Stephan, M. ; Gröger, T.M. ; Neschen, S. ; Arteaga-Salas, J.M. ; Ueffing, M. ; Hrabě de Angelis, M. ; Zimmermann, R.

The impact of blood on liver metabolite profiling - a combined metabolomic and proteomic approach.

Biomed. Chromatogr. 28, 231-240 (2014)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Metabolomics has entered the well-established omic sciences as it is an indispensable information resource to achieve a global picture of biological systems. The aim of the present study was to estimate the influence of blood removal from mice liver as part of sample preparation for metabolomic and proteomic studies. For this purpose, perfused mice liver tissue (i.e. with blood removed) and unperfused mice liver tissue (i.e. containing blood) were compared by two-dimensional gas chromatography time of flight mass spectrometry (GC × GC-TOFMS) for the metabolomic part, and by liquid chromatography tandem mass spectrometry (LC-MS/MS) for the proteomic part. Our data showed significant differences between the unperfused and perfused liver tissue samples. Furthermore, we also observed an overlap of blood and tissue metabolite profiles in our data, suggesting that the perfusion of liver tissue prior to analysis is beneficial for an accurate metabolic profile of this organ
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter blood; gas chromatography mass spectrometry; liquid chromatography tandem mass spectrometry; metabolomics; mice liver perfusion; proteomics; 2-dimensional Gas-chromatography; Flight Mass-spectrometry; Fatty Liver; Tissue-extracts; Mice; Plasma; Time; Metabonomics; Steatosis; Disease
Sprache englisch
Veröffentlichungsjahr 2014
Prepublished im Jahr 2013
HGF-Berichtsjahr 2013
ISSN (print) / ISBN 0269-3879
e-ISSN 1099-0801
Zeitschrift Biomedical Chromatography
Quellenangaben Band: 28, Heft: 2, Seiten: 231-240 Artikelnummer: , Supplement: ,
Verlag Wiley
Verlagsort Hoboken
Begutachtungsstatus Peer reviewed
Institut(e) Cooperation Group Comprehensive Molecular Analytics (CMA)
CF Metabolomics & Proteomics (CF-MPC)
Institute of Experimental Genetics (IEG)
POF Topic(s) 30202 - Environmental Health
30203 - Molecular Targets and Therapies
30201 - Metabolic Health
90000 - German Center for Diabetes Research
Forschungsfeld(er) Environmental Sciences
Enabling and Novel Technologies
Genetics and Epidemiology
PSP-Element(e) G-504500-001
G-505700-001
G-500600-003
G-501900-062
PubMed ID 23934789
DOI 10.1002/bmc.3010
WOS ID WOS:000329443900007
WOS ID 000329443900007
Scopus ID 84892373231
Erfassungsdatum 2013-09-10
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