Systems biology: Metabonomics
By Jeremy K. Nicholson, John C. Lindon. Nature, 2008
1,825 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/c71445ae2437460c365ec194463bd73fdba43299
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- M. Willcox
- Lyndon Jones
- P. Argüeso
- G. Georgiev
- J. Holopainen
- G. Laurie
- Jannick P. Rolland
- U. Stahl
Citations in the corpus
- Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis (2016, neutral): “With these technologies, researchers have taken both targeted approaches that focus on a specific subset of defined metabolites and more agnostic untargeted approaches that analyze a large number ofmeasurablemolecules found in a sample, including chemical unknowns (4).”
- Stool Microbiome and Metabolome Differences between Colorectal Cancer Patients and Healthy Adults (2013, neutral): “Thus, metabonomics, the study of global changes in metabolites in response to biological stimuli [16], is being applied to identify and characterize the functional microbiome that drives metabolic changes associated with different diets, genotypes, and disease states [17–19].”
- Predicting drug metabolism: experiment and/or computation? (2015, neutral): “…to search for metabolites using multivariate statistical analysis of the data (this approach is derived from the developing field of metabonomics/metabolomics where normally the data is used to deduce the relationships between the metabolism and phenotypic readouts such as clinical endpoints 25 ).”
- Intestinal microbiota in human health and disease: the impact of probiotics (2011, neutral): “Compared with metatranscriptomics and metaproteomics approaches, metabolomic approaches have up to this date been applied more frequently, using NMR spectroscopy and mass spectroscopy in conjunction with computational multivariate analysis (Nicholson and Lindon 2008).”
- TFOS DEWS II Tear Film Report (2017, positive): “The study of tear metabolite profiling is of particular interest, as metabolomics provides an insight into the dynamic biochemical processes occurring in biological systems [536].”
- LC-MS Data Processing with MAVEN: A Metabolomic Analysis and Visualization Engine (2012, neutral): “Metabolomics, systems-level metabolite analysis, is playing an increasing role in biological (Nicholson and Lindon, 2008; Palsson, 2009) and pharmaceutical research (Xu et al., 2009; Wei, 2011).”
- The Human Urine Metabolome (2013, neutral): “Throughout the Byzantine era and well into the Middle Ages, urine color wheels (a diagram that linked the color of urine to a particular disease) were commonly used by physicians to make diagnoses [21], [25].”
- Global metabolic profiling procedures for urine using UPLC–MS (2010, neutral): “Key factors to consider when designing UPLC–MS metabolite profiling experiments include (1) sample collection and storage; (2) column conditioning; (3) the composition of test mixtures used; (4) the type and number of quality control samples and any ‘blank’ samples; (5) run order, i.”