Literature DB >> 18495560

A sample extraction and chromatographic strategy for increasing LC/MS detection coverage of the erythrocyte metabolome.

Theodore R Sana1, Keith Waddell, Steven M Fischer.   

Abstract

Reproducible and comprehensive sample extraction and detection of metabolites with a broad range of physico-chemical properties from biological matrices can be a highly challenging process. A single LC/MS separation method was developed for a 2.1 mm x 100 mm, 1.8 microm ZORBAX SB-Aq column that was used to separate human erythrocyte metabolites extracted under sample extraction solvent conditions where the pH was neutral or had been adjusted to either, pH 2, 6 or 9. Internal standards were included and evaluated for tracking sample extraction efficiency. Through the combination of electrospray ionization (ESI) and atmospheric pressure chemical ionization (APCI) techniques in both positive (+) and negative (-) ion modes, a total of 2370 features (compounds and associated compound related components: isotopes, adducts and dimers) were detected across all pHs. Broader coverage of the detected metabolome was achieved by observing that (1) performing extractions at pH 2 and 9, leads to a combined 92% increase in detected features over pH 7 alone; and (2) including APCI in the analysis results in a 34% increase in detected features, across all pHs, than the total number detected by ESI. A significant dependency of extraction solvent pH on the recovery of heme and other compounds was observed in erythrocytes and underscores the need for a comprehensive sample extraction strategy and LC/MS analysis in metabolomics profiling experiments.

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Year:  2008        PMID: 18495560     DOI: 10.1016/j.jchromb.2008.04.030

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  22 in total

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Review 2.  Metabolomics: moving to the clinic.

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4.  Small molecule metabolite extraction strategy for improving LC/MS detection of cancer cell metabolome.

Authors:  Kathryn D Sheikh; Shefali Khanna; Stephen W Byers; Albert Fornace; Amrita K Cheema
Journal:  J Biomol Tech       Date:  2011-04

5.  Extraction parameters for metabolomics from cultured cells.

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Journal:  Anal Biochem       Date:  2015-01-19       Impact factor: 3.365

Review 6.  Untargeted Metabolomics Strategies-Challenges and Emerging Directions.

Authors:  Alexandra C Schrimpe-Rutledge; Simona G Codreanu; Stacy D Sherrod; John A McLean
Journal:  J Am Soc Mass Spectrom       Date:  2016-09-13       Impact factor: 3.109

7.  Accurate mass-time tag library for LC/MS-based metabolite profiling of medicinal plants.

Authors:  Daniel J Cuthbertson; Sean R Johnson; Jasenka Piljac-Žegarac; Julia Kappel; Sarah Schäfer; Matthias Wüst; Raymond E B Ketchum; Rodney B Croteau; Joaquim V Marques; Laurence B Davin; Norman G Lewis; Megan Rolf; Toni M Kutchan; D Doel Soejarto; B Markus Lange
Journal:  Phytochemistry       Date:  2013-04-16       Impact factor: 4.072

8.  Analytical strategies for studying stem cell metabolism.

Authors:  James M Arnold; William T Choi; Arun Sreekumar; Mirjana Maletić-Savatić
Journal:  Front Biol (Beijing)       Date:  2015-04

9.  Metabolomic analysis of patient plasma yields evidence of plant-like α-linolenic acid metabolism in Plasmodium falciparum.

Authors:  Viswanathan Lakshmanan; Kyu Y Rhee; Wei Wang; Yiting Yu; Kamil Khafizov; Andras Fiser; Peng Wu; Omar Ndir; Souleymane Mboup; Daouda Ndiaye; Johanna P Daily
Journal:  J Infect Dis       Date:  2012-05-07       Impact factor: 5.226

10.  Analysis of human plasma metabolites across different liquid chromatography/mass spectrometry platforms: Cross-platform transferable chemical signatures.

Authors:  Kelly H Telu; Xinjian Yan; William E Wallace; Stephen E Stein; Yamil Simón-Manso
Journal:  Rapid Commun Mass Spectrom       Date:  2016-03-15       Impact factor: 2.419

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