International audienceStem cells, poised to revolutionize current medicine, stand as major workhorses for monitoring changes in cell fate. Characterizing metabolic phenotypes is key to monitor in differentiating cells transcriptional and epigenetic shifts at a functional level and provides a non-genetic means to control cell specification. Expanding the arsenal of analytical tools for metabolic profiling of cell differentiation is therefore of importance. Here, we describe the metabolome of whole pluripotent stem cells (PSCs) using high-resolution magic angle spinning (HR-MAS), a non-destructive approach for Nuclear Magnetic Resonance (NMR) analysis. The integrated 1H NMR analysis results in detection of metabolites of various groups, inclu...
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...
International audienceStem cells, poised to revolutionize current medicine, stand as major workhorse...
The integration of cell metabolism with signalling pathways, transcription factor networks and epige...
High-resolution magic angle spinning (HR-MAS) is an NMR technique that provides access to well resol...
proliferation of human embryonic stem cells (hESCs). However, the conditioning process is variable ...
BACKGROUND: Cell culture media conditioned by human foreskin fibroblasts (HFFs) provide a complex su...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Patient-derived cancer cells cultured in vitro are a cornerstone of cancer metabolism research. More...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
A brief overview of the potentiality and use of the metabolic fingerprint of a system or biological ...
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...
International audienceStem cells, poised to revolutionize current medicine, stand as major workhorse...
The integration of cell metabolism with signalling pathways, transcription factor networks and epige...
High-resolution magic angle spinning (HR-MAS) is an NMR technique that provides access to well resol...
proliferation of human embryonic stem cells (hESCs). However, the conditioning process is variable ...
BACKGROUND: Cell culture media conditioned by human foreskin fibroblasts (HFFs) provide a complex su...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
Patient-derived cancer cells cultured in vitro are a cornerstone of cancer metabolism research. More...
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties o...
A brief overview of the potentiality and use of the metabolic fingerprint of a system or biological ...
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...