Basic Biology of Aging at the University of Washington

Metabolomics Core


This Core is designed to provide state-of-the-art hardware and software tools for detection, identification and quantification of aging-associated metabolites, and to assist in the experimental design and statistical analysis of these metabolite profiles.

The services provided by this Core are available to collaborators at other institutions in the United States as well as internationally, who would like to use metabolomic profiling to ask aging-related questions. Assistance with experimental design, metabolomic profiling, and data analysis will be provided as a collaborative resource, rather than as a fee-for-service Core. Depending on the needs of each collaborator, the Core can work closely with Core users to assist with experimental design, choice of metabolomic profiling methods, sample preparation, and data analysis and interpretation, as needed. This resource is available for samples from all organisms.

Costs for Core B services will be shared between the NSC and user fees, with exact costs to be negotiated with each user. Our goal is to keep costs competitive, to encourage increased increased use of metabolomic profiling in the biogerontology community.

Services available:

  • Consultation on experimental design for metabolomic profiling
  • Statistical support for univariate and multivariate statistical analysis and network modeling
  • Sample preparation
  • Data analysis

Mass spectrometry:

  • Targeted metabolomics. Targeted profiles typically includes accurate estimates for more than 200 metabolites, with numerous metabolites representing each of diverse pathways, including the TCA cycle, nucleotide metabolism, amino acid metabolism, glycolysis, as well as amino acids, vitamins, sugars, and polyamines. Specific targeted profiles can also be designed, if needed.
  • Global metabolomics. For a broader perspective, global metabolomic profiles provide close to 3000 unique features, including ~45% aqueous metabolites, ~10% lipids. The remaining features are defined by a formula but within unknown structure (~30%), or by mass-charge ratio (~20%). 
  • Lipidomics. Our facility can provide measures for ~2000 lipids.


Daniel Promislow, Director, is an expert in the evolutionary genetics of aging, and has used metabolomic profiles extensively in studies of aging.

Michael MacCoss, co-investigator, is an expert in mass spectrometry and proteomics, and computational analysis of mass spectrometry data. Core B is housed in the MacCoss lab.