Lipidomics-Metabolomics Expertise

Metabolomics

Map which metabolites are present, how they change, and where carbon flows.

Semi-Targeted Profiling

Quantitative profiling using our in-house validated library of 425 metabolites, covering energy metabolism (glycolysis, TCA cycle), nucleotide metabolism (purines and pyrimidines), amino acid metabolism, and more. You get confident identification, not just masses.

Untargeted Profiling

High-resolution MS/MS acquisition searched against spectral libraries for broad, hypothesis-free discovery. Suitable when you want to find what changes without pre-defining the targets.

Isotope Tracing / Metabolic Flux Analysis

Track where carbon (¹³C), nitrogen (¹⁵N), or deuterium flows through metabolic networks. Understand which pathways are actively used, not just which metabolites are present. Ideal for studying metabolic reprogramming in cancer, immunity, or pharmacological intervention.

Lipidomics

Profile the lipidome — from global changes to precise structural characterisation.

Untargeted Lipidomics

Broad MS/MS-based profiling to capture global changes in lipid composition across hundreds of lipid species. Ideal for discovery — comparing conditions, tissues, or disease states.

Targeted Lipidomics

Precise quantification of specific lipid classes of biological interest — including phosphatidylinositol phosphates and other complex signalling lipids that are poorly covered by standard untargeted approaches.

De Novo Synthesis Tracking

Using heavy-labelled substrates (¹³C, deuterium), we measure active lipid biosynthesis — distinguishing newly synthesised lipids from pre-existing pools. Relevant for fatty acid synthesis in cancer, metabolic disease, and nutritional studies.

Integrated Multiomics

One sample. Three molecular layers. Complete biological context.

Our flagship speciality. When your sample is precious, scarce, or irreplaceable — patient biopsies, rare cell populations, primary material that cannot be re-collected — our integrated multiomics workflow co-extracts proteins, metabolites, and lipids from the same sample in a single unified pipeline.

This workflow is particularly powerful for clinical sample cohorts, rare cell populations, and mechanistic studies where you need to link signalling (proteins/PTMs) to metabolic state (metabolites/lipids). We have used this approach to underpin publications in Nature Metabolism, Nature Immunology, Nature Communications, and Developmental Cell.

Not sure which approach is right?

Book a free consultation. We will help you choose the right workflow — or design a custom one — based on your biological question, sample availability, and budget.

Email: mass-spec@igc.ed.ac.uk | Book via PPMS: https://ppms.