High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism
University of Eastern Finland · University of Oulu · +6 more institutions
Abstract
A high-throughput proton (1H) nuclear magnetic resonance (NMR) metabonomics approach is introduced to characterise systemic metabolic phenotypes. The methodology combines two molecular windows that contain the majority of the metabolic information available by 1H NMR from native serum, e.g. serum lipids, lipoprotein subclasses as well as various low-molecular-weight metabolites. The experimentation is robotics-controlled and fully automated with a capacity of about 150-180 samples in 24 h. To the best of our knowledge, the presented set-up is unique in the sense of experimental high-throughput, cost-effectiveness, and automated multi-metabolic data analyses. As an example, we demonstrate that the NMR data as…
Citation impact
- FWCI
- 6.98
- Percentile
- 100%
- References
- 20
Authors
13Topics & keywords
- Throughput
- Computational biology
- Metabolomics
- Proton NMR
- Phenotype
- Chemistry
- Computer science
- Bioinformatics
- Good health and well-being