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RESEARCH PRODUCT
Versatile, sensitive liquid chromatography mass spectrometry – Implementation of 10 μm OT columns suitable for small molecules, peptides and proteins
Hanne Roberg-larsenSteven Ray WilsonSigrid AslaksenTore VehusTore VehusJo WaalerElsa LundanesStefan Krausssubject
Proteomics0301 basic medicineCapillary actionBreast NeoplasmsExosomesOrbitrapProteomicsMass spectrometrySensitivity and Specificity01 natural sciencesArticlelaw.inventionMice03 medical and health sciencesAxin ProteinTandem Mass SpectrometrylawLiquid chromatography–mass spectrometryAnimalsHumansMoleculeDetection limitMultidisciplinaryChromatographyChemistry010401 analytical chemistryReproducibility of ResultsSmall moleculeHydroxycholesterols0104 chemical sciences030104 developmental biologyFemalePeptidesChromatography Liquiddescription
AbstractWe have designed a versatile and sensitive liquid chromatographic (LC) system, featuring a monolithic trap column and a very narrow (10 μm ID) fused silica open tubular liquid chromatography (OTLC) separation column functionalized with C18-groups, for separating a wide range of molecules (from small metabolites to intact proteins). Compared to today’s capillary/nanoLC approaches, our system provides significantly enhanced sensitivity (up to several orders) with matching or improved separation efficiency, and highly repeatable chromatographic performance. The chemical properties of the trap column and the analytical column were fine-tuned to obtain practical sample loading capacities (above 2 μg), an earlier bottleneck of OTLC. Using the OTLC system (combined with Orbitrap mass spectrometry), we could perform targeted metabolomics of sub-μg amounts of exosomes with 25 attogram detection limit of a breast cancer-related hydroxylated cholesterol. With the same set-up, sensitive bottom-up proteomics (targeted and untargeted) was possible, and high-resolving intact protein analysis. In contrast to state-of-the-art packed columns, our platform performs chromatography with very little dilution and is “fit-for-all”, well suited for comprehensive analysis of limited samples, and has potential as a tool for challenges in diagnostics.
year | journal | country | edition | language |
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2016-11-29 | Scientific Reports |