2020
DOI: 10.1074/jbc.ra119.011081
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Improved workflow for mass spectrometry–based metabolomics analysis of the heart

Abstract: MS-based metabolomics methods are powerful techniques to map the complex and interconnected metabolic pathways of the heart; however, normalization of metabolite abundance to sample input in heart tissues remains a technical challenge. Herein, we describe an improved GC-MS–based metabolomics workflow that uses insoluble protein–derived glutamate for the normalization of metabolites within each sample and includes normalization to protein-derived amino acids to reduce biological variation and detect small metab… Show more

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Cited by 28 publications
(25 citation statements)
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“…Metabolites were identified using the FiehnLib metabolomics library (available through Agilent) by retention time and fragmentation pattern, and quantitation was performed using Agilent MassHunter Workstation Software. Natural abundance correction was performed using IsoCorrectoR software, and relative abundance was corrected for recovery using the l -norvaline standard and adjusted to protein input ( 47 ).…”
Section: Methodsmentioning
confidence: 99%
“…Metabolites were identified using the FiehnLib metabolomics library (available through Agilent) by retention time and fragmentation pattern, and quantitation was performed using Agilent MassHunter Workstation Software. Natural abundance correction was performed using IsoCorrectoR software, and relative abundance was corrected for recovery using the l -norvaline standard and adjusted to protein input ( 47 ).…”
Section: Methodsmentioning
confidence: 99%
“…Following heating, samples were transferred to v-shaped glass chromatography vials and 80 μl of MTSFA + 1% TMCS (Thermo Scientific) was added. Samples were then heated for 60 min at 60 °C, allowed to cool to room temperature, and then analyzed via GCMS with parameters as previously described [ 28 ]. Briefly, a GC temperature gradient of 130 °C was held for 4 min, rising at 6 °C/min to 243 °C, rising at 60 °C/min to 280 °C and held for 2 min.…”
Section: Methodsmentioning
confidence: 99%
“…Citrate and malate showed direct labeling of TCA intermediates, which are used to generate amino acids like aspartate, and as such they displayed similar fractional labeling patterns ( Figure 5 g–i). Finally, using our previously established method of glycogen quantitation [ 33 , 34 ], we observed dynamic glycogen enrichment in the liver and brain. Liver glycogen enrichment peaked at 30min, followed by a slow but steady decline until 4 h post gavage, while a similar pattern was observed in brain ( Figure S2, Supplementary Materials ).…”
Section: Resultsmentioning
confidence: 99%