2022
DOI: 10.26434/chemrxiv-2022-nq9k0
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An Open Platform for Large Scale LC-MS-Based Metabolomics

Abstract: Metabolomics utilising liquid chromatography mass spectrometry (LC-MS) offers biomedical researchers a powerful means of assessing and comparing human phenotypes via measurement of the metabolome in biological samples. Platforms for LC-MS-based global profiling quantify hundreds or thousands of small molecule metabolites and/or lipids using combinations of distinct methods and analyses to develop broad coverage of the metabolome with high analytical sensitivity and specificity. However, the breadth of coverage… Show more

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Cited by 12 publications
(31 citation statements)
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“…All samples were combined in a 20 L vessel, homogenized and aliquoted into 15 mL polypropylene conical centrifuge tubes (Corning) for long term storage at -80ºC. Samples were analyzed by reversed-phase chromatographic (RPC) assay tailored for small molecule metabolites 34 .…”
Section: Case Studiesmentioning
confidence: 99%
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“…All samples were combined in a 20 L vessel, homogenized and aliquoted into 15 mL polypropylene conical centrifuge tubes (Corning) for long term storage at -80ºC. Samples were analyzed by reversed-phase chromatographic (RPC) assay tailored for small molecule metabolites 34 .…”
Section: Case Studiesmentioning
confidence: 99%
“…NIST 1950 human plasma sample was thawed at 4°C for 2h. Subsequently, a 50 µL aliquot was taken and prepared for lipid analysis by dilution with LC-MS grade water (1:1 v/v) and addition of four parts of isopropanol (IPA) containing a mixture of lipid reference standards 34 to one part of diluted sample for protein precipitation. Vial with the sample was mixed at 1,400 rpm for 2h at 4°C and subsequently centrifuged for 10 mins at 3,486×g at 4°C to separate the homogenous supernatant from the precipitated protein.…”
Section: Case Studiesmentioning
confidence: 99%
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“…The following supporting information can be downloaded at , refs. [ 37 , 54 , 55 , 56 ] are cited in the supplementary materials. Table S1: Instrumental parameters for DESI-MSI; Table S2: Model performance.…”
mentioning
confidence: 99%