Literature DB >> 21959233

Global urinary metabolic profiling procedures using gas chromatography-mass spectrometry.

Eric Chun Yong Chan1, Kishore Kumar Pasikanti, Jeremy K Nicholson.   

Abstract

The role of urinary metabolic profiling in systems biology research is expanding. This is because of the use of this technology for clinical diagnostic and mechanistic studies and for the development of new personalized health care and molecular epidemiology (population) studies. The methodologies commonly used for metabolic profiling are NMR spectroscopy, liquid chromatography mass spectrometry (LC/MS) and gas chromatography-mass spectrometry (GC/MS). In this protocol, we describe urine collection and storage, GC/MS and data preprocessing methods, chemometric data analysis and urinary marker metabolite identification. Results obtained using GC/MS are complementary to NMR and LC/MS. Sample preparation for GC/MS analysis involves the depletion of urea via treatment with urease, protein precipitation with methanol, and trimethylsilyl derivatization. The protocol described here facilitates the metabolic profiling of ∼400-600 metabolites in 120 urine samples per week.

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Year:  2011        PMID: 21959233     DOI: 10.1038/nprot.2011.375

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  60 in total

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  69 in total

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Review 2.  Review of mass spectrometry-based metabolomics in cancer research.

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5.  A Statistical Analysis of the Effects of Urease Pre-treatment on the Measurement of the Urinary Metabolome by Gas Chromatography-Mass Spectrometry.

Authors:  Bobbie-Jo Webb-Robertson; Young-Mo Kim; Erika M Zink; Katherine A Hallaian; Qibin Zhang; Ramana Madupu; Katrina M Waters; Thomas O Metz
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6.  Flux profiling of photosynthetic carbon metabolism in intact plants.

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7.  A nano ultra-performance liquid chromatography-high resolution mass spectrometry approach for global metabolomic profiling and case study on drug-resistant multiple myeloma.

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9.  Microfluidics meets metabolomics to reveal the impact of Campylobacter jejuni infection on biochemical pathways.

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10.  Biomarker Discovery and Translation in Metabolomics.

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