BACKGROUND: The metabolome of any given biological system contains a diverse range of low molecular weight molecules (metabolites), whose abundances can be affected by the timing and method of sample collection, storage, and handling. Thus, it is necessary to consider the requirements for preanalytical processes and biobanking in metabolomics research. Poor practice can create bias and have deleterious effects on the robustness and reproducibility of acquired data. CONTENT: This review presents both current practice and latest evidence on preanalytical processes and biobanking of samples intended for metabolomics measurement of common biofluids and tissues. It highlights areas requiring more validation and research and provides some evidenc...
The field of metabolomics is concerned with analyzing data from high-throughput experiments. Its ob...
Recommendations and outlines for standardization in biobanking processes are presented by a research...
The development of metabolomics in clinical applications has been limited by the lack of validation ...
BACKGROUND: The metabolome of any given biological system contains a diverse range of low molecular ...
BACKGROUND: The metabolome of any given biological system contains a diverse range of low molecular ...
BACKGROUND: Metabolomics is a powerful tool that is increasingly used in clinical research. Although...
Abstract Every day, analytical and bio-analytical chemists make sustained efforts to improve the sen...
Metabolomics can be significantly influenced by a range of pre-analytical factors, such as sample c...
Introduction background to metabolomicsMetabolomics is the comprehensive study of the metabolome, th...
Background: Information regarding the variability of metabolite levels over time in an individual is...
Every day, analytical and bio-analytical chemists make sustained efforts to improve the sensitivity,...
Every day, analytical and bio-analytical chemists make sustained efforts to improve the sensitivity,...
peer reviewedMetabolome analyses of body fluids are challenging due pre-analytical variations, such ...
Introduction: Background to metabolomics: Metabolomics is the comprehensive study of the metabo...
International audienceThe recent thriving development of biobanks and associated high-throughput phe...
The field of metabolomics is concerned with analyzing data from high-throughput experiments. Its ob...
Recommendations and outlines for standardization in biobanking processes are presented by a research...
The development of metabolomics in clinical applications has been limited by the lack of validation ...
BACKGROUND: The metabolome of any given biological system contains a diverse range of low molecular ...
BACKGROUND: The metabolome of any given biological system contains a diverse range of low molecular ...
BACKGROUND: Metabolomics is a powerful tool that is increasingly used in clinical research. Although...
Abstract Every day, analytical and bio-analytical chemists make sustained efforts to improve the sen...
Metabolomics can be significantly influenced by a range of pre-analytical factors, such as sample c...
Introduction background to metabolomicsMetabolomics is the comprehensive study of the metabolome, th...
Background: Information regarding the variability of metabolite levels over time in an individual is...
Every day, analytical and bio-analytical chemists make sustained efforts to improve the sensitivity,...
Every day, analytical and bio-analytical chemists make sustained efforts to improve the sensitivity,...
peer reviewedMetabolome analyses of body fluids are challenging due pre-analytical variations, such ...
Introduction: Background to metabolomics: Metabolomics is the comprehensive study of the metabo...
International audienceThe recent thriving development of biobanks and associated high-throughput phe...
The field of metabolomics is concerned with analyzing data from high-throughput experiments. Its ob...
Recommendations and outlines for standardization in biobanking processes are presented by a research...
The development of metabolomics in clinical applications has been limited by the lack of validation ...