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Metabolite Quantification
We provide targeted assays to detect and quantify a large number of related metabolites present in diverse areas of metabolism. We are able to analyse a diverse range of sample types.
Explore
Metabolomics
(opens in a new window)Professor Lorraine Brennan directs the UCD Conway Metabolomic Facility, which uses mass spectroscopy technique for detecting and quantifying the metabolites of interest in a wide range of biological samples.
Metabolomics is the measurement of metabolites in biological samples and informs us about alteration in metabolic pathways under different conditions. We offer unique expertise and advice in performing metabolic phenotyping studies from experimental design through data acquisition to data analysis and biological interpretation.
Services
Data Processing and Analysis
We perform a number of quality checks to ensure highly robust and quantitative metabolomic data. We also apply univariate and multivariate statistical analysis to identify metabolites that may be linked to a specific metabolic pathway or can be used as metabolic biomarkers.
ExploreFor bookings, please contact Dr Ya (Grace) Gao by email: (opens in a new window)ya.gao@ucd.ie
Given the nature of the facility, Core staff provide a full service offering and guide researchers at all stages of the experimental process. Please contact one of the team to initiate your bespoke metabolomics solution.
Accredited Training
Our team are involved in the delivery of both accredited graduate and continuing professional development modules to scientists
involved in metabolomics research.
- CNWY40090 Introduction to 'Omic' & Advanced Imaging Technologies
- CNWY40180 Introduction to Core Research Skills for Laboratory-Based Biological Scientists
Spotlights
Professor Lorraine Brennan
Director, Metabolomics Core; Professor, UCD School of Agriculture and Food Science & Fellow, UCD Conway Institute
A recognised leader in the field of dietary biomarkers. Recent published work has clearly demonstrated that urinary biomarkers can determine food intake to a high level of accuracy. This development has opened up new avenues for dietary biomarkers and marks significant progress in the field.
