A robust high resolution reversed-phase HPLC strategy to investigate various metabolic species in different biological models.
Recent advancements in the field of omics sciences have paved the way for further expansion of metabolomics. Originally tied to NMR spectroscopy, metabolomic disciplines are constantly and growingly involving HPLC and mass spectrometry (MS)-based analytical strategies and, in this context, we hereby propose a robust and efficient extraction protocol for metabolites from four different biological sources which are subsequently analysed, identified and quantified through high resolution reversed-phase fast HPLC and mass spectrometry. To this end, we demonstrate the elevated intra- and inter-day technical reproducibility, ease of an MRM-based MS method, allowing simultaneous detection of up to 10 distinct features, and robustness of multiple metabolite detection and quantification in four different biological samples. This strategy might become routinely applicable to various samples/biological matrices, especially for low-availability ones. In parallel, we compare the present strategy for targeted detection of a representative metabolite, L-glutamic acid, with our previously-proposed chemical-derivatization through dansyl chloride. A direct comparison of the present method against spectrophotometric assays is proposed as well. An application of the proposed method is also introduced, using the SAOS-2 cell line, either induced or non-induced to express the TAp63 isoform of the p63 gene, as a model for determination of variations of glutamate concentrations.
Department of Environmental Sciences, University of Tuscia, Largo dell'Università snc, 01100 Viterbo, Italy. zolla@unitus.it.
Angelo
A
D'Alessandro
Federica
F
Gevi
Lello
L
Zolla
D000328:Adult; D045744:Cell Line, Tumor; D002851:Chromatography, High Pressure Liquid; D056148:Chromatography, Reverse-Phase; D005260:Female; D018698:Glutamic Acid / Q000032:analysis / Q000378:metabolism; D006801:Humans; D008297:Male; D013058:Mass Spectrometry; D053858:Metabolic Networks and Pathways; D055432:Metabolomics / Q000379:methods*; D008875:Middle Aged; D008954:Models, Biological; D015203:Reproducibility of Results
D018698:Glutamic Acid