TY  - JOUR
A1  - Catchpole, Gareth
A1  - Platzer, Alexander
A1  - Weikert, Cornelia
A1  - Kempkensteffen, Carsten
A1  - Johannsen, Manfred
A1  - Krause, Hans
A1  - Jung, Klaus
A1  - Miller, Kurt
A1  - Willmitzer, Lothar
A1  - Selbig, Joachim
A1  - Weikert, Steffen
T1  - Metabolic profiling reveals key metabolic features of renal cell carcinoma
JF  - Journal of cellular and molecular medicine : a journal of translational medicine
N2  - Recent evidence suggests that metabolic changes play a pivotal role in the biology of cancer and in particular renal cell carcinoma (RCC). Here, a global metabolite profiling approach was applied to characterize the metabolite pool of RCC and normal renal tissue. Advanced decision tree models were applied to characterize the metabolic signature of RCC and to explore features of metastasized tumours. The findings were validated in a second independent dataset. Vitamin E derivates and metabolites of glucose, fatty acid, and inositol phosphate metabolism determined the metabolic profile of RCC. alpha-tocopherol, hippuric acid, myoinositol, fructose-1-phosphate and glucose-1-phosphate contributed most to the tumour/normal discrimination and all showed pronounced concentration changes in RCC. The identified metabolic profile was characterized by a low recognition error of only 5% for tumour versus normal samples. Data on metastasized tumours suggested a key role for metabolic pathways involving arachidonic acid, free fatty acids, proline, uracil and the tricarboxylic acid cycle. These results illustrate the potential of mass spectroscopy based metabolomics in conjunction with sophisticated data analysis methods to uncover the metabolic phenotype of cancer. Differentially regulated metabolites, such as vitamin E compounds, hippuric acid and myoinositol, provide leads for the characterization of novel pathways in RCC.
KW  - kidney cancer
KW  - metabolism
KW  - metabolomics
KW  - metastasis
Y1  - 2011
U6  - https://doi.org/10.1111/j.1582-4934.2009.00939.x
SN  - 1582-1838
VL  - 15
IS  - 1
SP  - 109
EP  - 118
PB  - Wiley-Blackwell
CY  - Malden
ER  - 
TY  - JOUR
A1  - Juerchott, Kathrin
A1  - Guo, Ke-Tai
A1  - Catchpole, Gareth
A1  - Feher, Kristen
A1  - Willmitzer, Lothar
A1  - Schichor, Christian
A1  - Selbig, Joachim
T1  - Comparison of metabolite profiles in U87 glioma cells and mesenchymal stem cells
JF  - Biosystems : journal of biological and information processing sciences
N2  - Gas chromatography-mass spectrometry (GC-MS) profiles were generated from U87 glioma cells and human mesenchymal stem cells (hMSC). 37 metabolites representing glycolysis intermediates, TCA cycle metabolites, amino acids and lipids were selected for a detailed analysis. The concentrations of these. metabolites were compared and Pearson correlation coefficients were used to calculate the relationship between pairs of metabolites. Metabolite profiles and correlation patterns differ significantly between the two cell lines. These profiles can be considered as a signature of the underlying biochemical system and provide snap-shots of the metabolism in mesenchymal stem cells and tumor cells.
KW  - Metabolite profiles
KW  - Correlation networks
KW  - U87 glioma cells
KW  - Human mesenchymal stem cells
Y1  - 2011
U6  - https://doi.org/10.1016/j.biosystems.2011.05.005
SN  - 0303-2647
VL  - 105
IS  - 2
SP  - 130
EP  - 139
PB  - Elsevier
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Lisec, Jan
A1  - Römisch-Margl, Lilla
A1  - Nikoloski, Zoran
A1  - Piepho, Hans-Peter
A1  - Giavalisco, Patrick
A1  - Selbig, Joachim
A1  - Gierl, Alfons
A1  - Willmitzer, Lothar
T1  - Corn hybrids display lower metabolite variability and complex metabolite inheritance patterns
JF  - The plant journal
N2  - We conducted a comparative analysis of the root metabolome of six parental maize inbred lines and their 14 corresponding hybrids showing fresh weight heterosis. We demonstrated that the metabolic profiles not only exhibit distinct features for each hybrid line compared with its parental lines, but also separate reciprocal hybrids. Reconstructed metabolic networks, based on robust correlations between metabolic profiles, display a higher network density in most hybrids as compared with the corresponding inbred lines. With respect to metabolite level inheritance, additive, dominant and overdominant patterns are observed with no specific overrepresentation. Despite the observed complexity of the inheritance pattern, for the majority of metabolites the variance observed in all 14 hybrids is lower compared with inbred lines. Deviations of metabolite levels from the average levels of the hybrids correlate negatively with biomass, which could be applied for developing predictors of hybrid performance based on characteristics of metabolite patterns.
KW  - heterosis
KW  - Zea mays
KW  - metabolomics
Y1  - 2011
U6  - https://doi.org/10.1111/j.1365-313X.2011.04689.x
SN  - 0960-7412
VL  - 68
IS  - 2
SP  - 326
EP  - 336
PB  - Wiley-Blackwell
CY  - Malden
ER  -