References of "Hiller, Karsten 50001985"
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See detailThe Application of Stable Isotope Assisted Metabolomics in Biomedicine
Wegner, André UL; Cordes, Thekla UL; Michelucci, Alessandro UL et al

in Current Biotechnology (2012), 1

During the last years, metabolomics has been established as a standard technique in biomedical research to analyze changes in metabolite levels. Currently, mass spectrometry (MS) and nuclear magnetic ... [more ▼]

During the last years, metabolomics has been established as a standard technique in biomedical research to analyze changes in metabolite levels. Currently, mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (NMR) are the two major technologies to acquire metabolomics data. These technologies have been proven to be invaluable tools for the detection of disease related metabolic biomarkers. However, the obtained data only describe static metabolite concentrations and do not provide information about the dynamics of the system. Based on stable-isotope assisted metabolomics experiments, metabolic flux analysis (MFA) intends to quantitatively analyze intracellular metabolite conversion rates, thus providing a readout of enzyme activities. Although many studies have been published about disease related metabolomics, only a few publications about stable-isotope assisted metabolomics related to biomedicine are available. Especially in the context of personalized medicine, stable-isotope assisted technologies will become more important, since they provide patient and disease specific information about the metabolic state of the patient. In the following review we will point out the importance of stable-isotope related technologies for biomedical sciences. First, we will introduce analytical techniques required for metabolomics and MFA. In the second part, two biomedicine related stable-isotope based studies are summarized. [less ▲]

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See detailFrom multi-omics to basic structures of biological systems.
Hiller, Karsten UL

in Current Opinion in Biotechnology (2012)

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See detailOncogenic K-Ras decouples glucose and glutamine metabolism to support cancer cell growth
Hiller, Karsten UL

in Molecular Systems Biology (2011)

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See detailNontargeted Elucidation of Metabolic Pathways Using Stable-Isotope Tracers and Mass Spectrometry
Hiller, Karsten UL; Metallo, Christian M.; Kelleher, Joanne K et al

in Analytical Chemistry (2010)

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See detailMetaboliteDetector: comprehensive analysis tool for targeted and nontargeted GC/MS based metabolome analysis
Hiller, Karsten UL; Hangebrauk, Jasper; Jäger, Christian UL et al

in Analytical Chemistry (2009)

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See detailAn emergent self-organizing map based analysis pipeline for comparative metabolome studies.
Haddad, Isam; Hiller, Karsten UL; Frimmersdorf, Eliane et al

in In Silico Biology (2009)

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See detailSYSTOMONAS — an integrated database for systems biology analysis of Pseudomonas
Choi, Claudia; Münch, Richard; Leupold, Stefan et al

in Nucleic Acids Research (2007)

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See detailJProGO: a novel tool for the functional interpretation of prokaryotic microarray data using Gene Ontology information
Scheer, Maurice; Klawonn, Frank; Münch, Richard et al

in Nucleic Acids Research (2006)

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See detailMetaQuant: a tool for the automatic quantification of GC/MS-based metabolome data
Bunk, Boyke; Kucklick, Martin; Münch, Richard et al

in Bioinformatics (2006)

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See detailJVirGel 2.0: computational prediction of proteomes separated via two-dimensional gel electrophoresis under consideration of membrane and secreted proteins
Hiller, Karsten UL; Schobert, Max; Hundertmark, Claudia et al

in Current Pharmaceutical Biotechnology (2006)

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See detailVirtual Footprint and PRODORIC: an integrative framework for regulon prediction in prokaryotes
Münch, Richard; Hiller, Karsten UL; Grote, Andreas et al

in Bioinformatics (2005)

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See detailPrediSi: prediction of signal peptides and their cleavage positions
Hiller, Karsten UL; Grote, Andreas; Scheer, Maurice et al

in Nucleic Acids Research (2004)

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See detailPRODORIC: prokaryotic database of gene regulation
Münch, Richard; Hiller, Karsten UL; Barg, Heiko et al

in Nucleic Acids Research (2003)

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See detailJVirGel: calculation of virtual two-dimensional protein gels
Hiller, Karsten UL; Schobert, Max; Hundertmark, Claudia et al

in Nucleic Acids Research (2003)

Detailed reference viewed: 46 (1 UL)