The extension of (13)C-nuclear magnetic resonance (NMR) techniques to study cellular metabolism over recent years has provided valuable data supporting the occurrence, diversity and extent of carbon cycling in the carbohydrate metabolism of micro-organisms. The occurrence of such cycles, resulting from the simultaneous operation of different and sometimes opposite individual steps, is inherently related to the network organisation of cellular metabolism. These cycles are tentatively classified here as 'reversibility', 'metabolic' and 'substrate' cycles on the basis of their balance in carbon and cofactors. Current hypotheses concerning the physiological relevance of carbohydrate cycles are discussed in light of the (13)C-NMR data. They most...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Metabolites are small molecular compounds that are found in various stages of the metabolic processe...
Glycogen-accumulating organisms (GAOs) are found in enhanced biological phosphorus removal systems w...
The complex metabolic makeup of a biological system, such as a cell, is a key determinant of its bio...
An attempt has been made for the first time to identify and quantify the products of glucose metabol...
Carbon 13 NMR constitutes a potent tool to study cellular metabolism by the use of 13C enriched subs...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Metabolites are small molecular compounds that are found in various stages of the metabolic processe...
Glycogen-accumulating organisms (GAOs) are found in enhanced biological phosphorus removal systems w...
The complex metabolic makeup of a biological system, such as a cell, is a key determinant of its bio...
An attempt has been made for the first time to identify and quantify the products of glucose metabol...
Carbon 13 NMR constitutes a potent tool to study cellular metabolism by the use of 13C enriched subs...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...