Literature DB >> 21258747

A robust high resolution reversed-phase HPLC strategy to investigate various metabolic species in different biological models.

Angelo D'Alessandro1, Federica Gevi, Lello Zolla.   

Abstract

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.

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Year:  2011        PMID: 21258747     DOI: 10.1039/c0mb00274g

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  11 in total

1.  Time-course investigation of SAGM-stored leukocyte-filtered red bood cell concentrates: from metabolism to proteomics.

Authors:  Angelo D'Alessandro; Gian Maria D'Amici; Stefania Vaglio; Lello Zolla
Journal:  Haematologica       Date:  2011-10-11       Impact factor: 9.941

Review 2.  Clinical metabolomics: the next stage of clinical biochemistry.

Authors:  Angelo D'Alessandro; Bruno Giardina; Federica Gevi; Anna Maria Timperio; Lello Zolla
Journal:  Blood Transfus       Date:  2012-05       Impact factor: 3.443

3.  Red blood cell subpopulations in freshly drawn blood: application of proteomics and metabolomics to a decades-long biological issue.

Authors:  Angelo D'Alessandro; Barbara Blasi; Gian Maria D'Amici; Cristina Marrocco; Lello Zolla
Journal:  Blood Transfus       Date:  2012-07-11       Impact factor: 3.443

4.  Investigation of the effects of storage and freezing on mixes of heavy-labeled metabolite and amino acid standards.

Authors:  Rachel Culp-Hill; Julie A Reisz; Kirk C Hansen; Angelo D'Alessandro
Journal:  Rapid Commun Mass Spectrom       Date:  2017-12-15       Impact factor: 2.419

5.  Three-minute method for amino acid analysis by UHPLC and high-resolution quadrupole orbitrap mass spectrometry.

Authors:  Travis Nemkov; Angelo D'Alessandro; Kirk C Hansen
Journal:  Amino Acids       Date:  2015-06-10       Impact factor: 3.520

6.  Characterization of rapid extraction protocols for high-throughput metabolomics.

Authors:  Sarah Gehrke; Julie A Reisz; Travis Nemkov; Kirk C Hansen; Angelo D'Alessandro
Journal:  Rapid Commun Mass Spectrom       Date:  2017-09-15       Impact factor: 2.419

Review 7.  Contribution of the plasma and lymph Degradome and Peptidome to the MHC Ligandome.

Authors:  Laura Santambrogio; Hans-Georg Rammensee
Journal:  Immunogenetics       Date:  2018-10-20       Impact factor: 2.846

8.  Global untargeted serum metabolomic analyses nominate metabolic pathways responsive to loss of expression of the orphan metallo β-lactamase, MBLAC1.

Authors:  Chelsea L Gibson; Simona G Codreanu; Alexandra C Schrimpe-Rutledge; Cassandra L Retzlaff; Jane Wright; Doug P Mortlock; Stacy D Sherrod; John A McLean; Randy D Blakely
Journal:  Mol Omics       Date:  2018-06-12

9.  Storing red blood cells with vitamin C and N-acetylcysteine prevents oxidative stress-related lesions: a metabolomics overview.

Authors:  Valeria Pallotta; Federica Gevi; Angelo D'alessandro; Lello Zolla
Journal:  Blood Transfus       Date:  2014-06-05       Impact factor: 3.443

10.  Cannabinoids inhibit energetic metabolism and induce AMPK-dependent autophagy in pancreatic cancer cells.

Authors:  I Dando; M Donadelli; C Costanzo; E Dalla Pozza; A D'Alessandro; L Zolla; M Palmieri
Journal:  Cell Death Dis       Date:  2013-06-13       Impact factor: 8.469

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