Conclusions: These results are consistent with the concept that the metabolome is a composite of host and microbe metabolic activity and that the influence of the microbiota on host fatty ❋ R. Wall (2009)
This profile, known as the metabolome, was then compared with that from plants subjected to controlled drought stress. ❋ Unknown (2008)
Munich-area study pioneers phenotyping of the human 'metabolome' The old excuse, "I am only overweight because of my genes," is suddenly gaining credibility as ❋ Unknown (2010)
Moreover, biological data is highly multi-dimensional by nature, and understanding of the data requires multiple views, layers, or projections, for example, in the levels of genome, transcriptome, proteome, and metabolome. ❋ Unknown (2009)
The team believes that the research may provide the basis for a new "metabolome-wide association" approach to help understand interactions between lifestyles, environment and genes. ❋ Unknown (2008)
Bashton et al. took a different approach in analyzing the metabolome. ❋ Egon Willighagen (2007)
The Complex Diseases eScience Community aims to integrate genome-wide omics data (genome, transcriptome, proteome and metabolome data) from biobank samples with clinical data and data on lifestyle, demography and the environment. ❋ Unknown (2010)
In addition, the report presents a preliminary draft of the human amniotic fluid metabolome from women with PTL that shows biochemical intermediates of human metabolism as well as xenobiotics such as salicylamide and bacterial products can be measured in human amniotic fluid. ❋ Unknown (2010)
Hydrophilic interaction chromatography followed by tandem electrospray mass spectrometry were used to identify the 12 compounds that constitute the core NAD+ metabolome and 6 related nucleosides and nucleotides. ❋ Unknown (2010)
Extracellular metabolome or metabolic profiling data, in particular, can provide an insightful view of intracellular physiological states in a noninvasive manner. ❋ Bernhard O Palsson And Markus J Herrg Monica L Mo (2009)
We used an updated genome-scale metabolic network model of Saccharomyces cerevisiae, iMM904, to investigate how changes in the extracellular metabolome can be used to study systemic changes in intracellular metabolic states. ❋ Bernhard O Palsson And Markus J Herrg Monica L Mo (2009)
Similar methods could potentially be applied towards analyzing biofluid metabolome variations related to human physiological and disease states. ❋ Bernhard O Palsson And Markus J Herrg Monica L Mo (2009)
Extracellular metabolome data measured in response to environmental and genetic perturbations of ammonium assimilation pathways was then integrated with the iMM904 network in the form of relative overflow secretion constraints and a flux sampling approach was used to characterize candidate flux distributions allowed by these constraints. ❋ Bernhard O Palsson And Markus J Herrg Monica L Mo (2009)
We have also integrated the maXis with capillary electrophoresis to characterize the cell-to-cell differences in the metabolome. ❋ Unknown (2009)
Study Population and Design: The sample included 45 healthy adolescents who underwent proximal forearm bone and muscle area measurements by peripheral quantitative computed tomography at the age of 16 yr (SD 1.5) and who had collected a 24-h urine sample 8 yr earlier, allowing to quantify the prepubertal urine metabolome. ❋ Unknown (2009)
