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Method Article

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

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DOI:

10.3791/50433

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May 20th, 2013

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In This Article

Summary

Untargeted metabolomics provides a hypothesis generating snapshot of a metabolic profile. This protocol will demonstrate the extraction and analysis of metabolites from cells, serum, or tissue. A range of metabolites are surveyed using liquid-liquid phase extraction, microflow ultraperformance liquid chromatography/high-resolution mass spectrometry (UPLC-HRMS) coupled to differential analysis software.

Abstract

Here we present a workflow to analyze the metabolic profiles for biological samples of interest including; cells, serum, or tissue. The sample is first separated into polar and non-polar fractions by a liquid-liquid phase extraction, and partially purified to facilitate downstream analysis. Both aqueous (polar metabolites) and organic (non-polar metabolites) phases of the initial extraction are processed to survey a broad range of metabolites. Metabolites are separated by different liquid chromatography methods based upon their partition properties. In this method, we present microflow ultra-performance (UP)LC methods, but the protocol is scalable to higher flows and lower pressures. Introduction into the mass spectrometer can be through either general or compound optimized source conditions. Detection of a broad range of ions is carried out in full scan mode in both positive and negative mode over a broad m/z range using high resolution on a recently calibrated instrument. Label-free differential analysis is carried out on bioinformatics platforms. Applications of this approach include metabolic pathway screening, biomarker discovery, and drug development.

Introduction

Due to recent technological advances in the field of HRMS, untargeted, hypothesis-generating metabolomics approaches have become a feasible approach to analysis of complex samples.1 Mass spectrometers capable of 100,000 resolution facilitating routine low part per million (ppm) mass accuracy have become widely available from multiple vendors.2,3 This mass accuracy allows greater specificity and confidence in a preliminary assignment of analyte identity, isotopic pattern recognition, and adduct identification.4 When coupled with an appropriate extraction procedure and high-performance LC or UPLC, complex mixtures can be analyzed with ad....

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Protocol

1. Sample Extraction from Cells

  1. For a 10 cm plate of cells: collect 1.5 ml of lifted cell suspension in media into a pre-labeled 10 ml glass centrifuge tube. For adherent lines, cells should be lifted with gentle scraping in 1.5 ml of media kept on ice. Optional: If internal standards are used, add an appropriate aliquot at this step.
    Comment: Quenching of cellular metabolism is crucial for certain metabolites. For analysis of time-sensitive metabolites, procedures such as cold methanol extraction should be considered.17
  2. Add 6 ml of chloroform (CHCl3)/methanol (CH3OH) (2:1, v/v) to each o....

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Results

The results presented show selected data from a 6-hr treatment of SH-SY5Y glioblastoma cells with the pesticide and mitochondrial complex I inhibitor rotenone. For brevity, only the organic phase positive mode data is presented. The samples were processed and analyzed as described above (Figure 1, Table 1, Table 2) and loaded onto two differential analysis platforms for label-free quantification, SIEVE and XCMS online. Although a large number of hits (Figure 2, Figure 3).......

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Discussion

Untargeted metabolomics offers a powerful tool for investigating endogenous or xenobiotic biotransformations, or capturing a metabolic profile from a sample of interest. The output of the technique scales with the resolution and sensitivity of the technology used to separate and analyze the sample, the ability to deal with the large datasets generated, and the ability to mine the dataset for useful information (e.g. accurate mass database searching). Recently, this has been facilitated by advances in high resolu.......

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Disclosures

Authors have nothing to disclose.

Acknowledgements

We acknowledge support of NIH grants P30ES013508 and 5T32GM008076. We also thank Thermo Scientific for access to SIEVE 2.0 and Drs. Eugene Ciccimaro and Mark Sanders of Thermo Scientific for useful discussions.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Reagent
Phosphate Buffered SalineMediatech21-031-CM
Water (H2O)Fisher ScientificW7-4(optima)
Acetonitrile (CH3CN)Fisher ScientificA996-4(optima)
Methanol (CH3OH)Fisher ScientificA454-4(optima)
IsopropanolFisher ScientificA464-4(optima)
Chloroform (CH3Cl)Sigma-Aldrich366927Hazard
Dichloromethane (CH2Cl2)Acros Organics61030-1000To replace chloroform
Diethyl EtherSigma-Aldrich346136To replace chloroform
Formic Acid (FA)Fisher Scientific(optima)
NH4OHFisher ScientificA470-250(optima)
Ammonium formate (HCOONH4)Sigma-Aldrich78314
MicroSpin C18 ColumnsNest Group IncSS18V
Pasteur PipettesFisher Scientific13-678-200
10 ml Glass Centrifuge TubesKimble Chase73785-10
10 ml Plastic Centrifuge TubesCellTreatCLS-4301-015
LC Vials (glass)Waters60000751CV
LC Inserts (glass)WatersWAT094171
LC Vials (plastic)Waters186002640
0.22 μm FiltersCorning8169nylon
2 ml Eppendorf TubesBioExpressC-3229-1Low Retention
Equipment
High Resolution Mass SpectrometerThermo ScientificLTQ XL-Orbitrap
HPLC/UPLCWatersnanoACQUITY UPLC
SourceMichromThermo Advance Source
Differential Analysis SoftwareThermo ScientificSIEVE 2.0
nanoACQUITY C18 BEH130Waters1860035461.7 μm particle size, 150 mm x 100 μm
Acentis Express C8Sigma-Aldrich542622.7 μm particle size, 15 cm x 200 μm

References

  1. Pluskal, T., Nakamura, T., Villar-Briones, A., Yanagida, M. Metabolic profiling of the fission yeast S. pombe: quantification of compounds under different temperatures and genetic perturbation. Mol. Biosyst. 6 (1), 182-198 (2010).
  2. Makarov, A., Denisov, E., et al.

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