Literature DB >> 23046270

Addressing the current bottlenecks of metabolomics: Isotopic Ratio Outlier Analysis™, an isotopic-labeling technique for accurate biochemical profiling.

Felice A de Jong1, Chris Beecher.   

Abstract

Metabolomics or biochemical profiling is a fast emerging science; however, there are still many associated bottlenecks to overcome before measurements will be considered robust. Advances in MS resolution and sensitivity, ultra pressure LC-MS, ESI, and isotopic approaches such as flux analysis and stable-isotope dilution, have made it easier to quantitate biochemicals. The digitization of mass spectrometers has simplified informatic aspects. However, issues of analytical variability, ion suppression and metabolite identification still plague metabolomics investigators. These hurdles need to be overcome for accurate metabolite quantitation not only for in vitro systems, but for complex matrices such as biofluids and tissues, before it is possible to routinely identify biomarkers that are associated with the early prediction and diagnosis of diseases. In this report, we describe a novel isotopic-labeling method that uses the creation of distinct biochemical signatures to eliminate current bottlenecks and enable accurate metabolic profiling.

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Year:  2012        PMID: 23046270      PMCID: PMC3696345          DOI: 10.4155/bio.12.202

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  39 in total

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2.  Stable isotopically labeled internal standards in quantitative bioanalysis using liquid chromatography/mass spectrometry: necessity or not?

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3.  Absolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach.

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Review 4.  Stable-isotope dilution LC–MS for quantitative biomarker analysis.

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Journal:  Bioanalysis       Date:  2010-02       Impact factor: 2.681

Review 5.  The emerging field of quantitative blood metabolomics for biomarker discovery in critical illnesses.

Authors:  Natalie J Serkova; Theodore J Standiford; Kathleen A Stringer
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6.  Quantitative analysis of the low molecular weight serum proteome using 18O stable isotope labeling in a lung tumor xenograft mouse model.

Authors:  Brian L Hood; David A Lucas; Grace Kim; King C Chan; Josip Blonder; Haleem J Issaq; Timothy D Veenstra; Thomas P Conrads; Ingrid Pollet; Aly Karsan
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Review 7.  Metabolic biomarker and kinase drug target discovery in cancer using stable isotope-based dynamic metabolic profiling (SIDMAP).

Authors:  László G Boros; Daniel J Brackett; George G Harrigan
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8.  Probing in vivo metabolism by stable isotope labeling of storage lipids and proteins in developing Brassica napus embryos.

Authors:  Jörg Schwender; John B Ohlrogge
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9.  Isotope ratio-based profiling of microbial folates.

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10.  Multi-platform characterization of the human cerebrospinal fluid metabolome: a comprehensive and quantitative update.

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  28 in total

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3.  Peak Annotation and Verification Engine for Untargeted LC-MS Metabolomics.

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4.  Opportunities and Limitations for Untargeted Mass Spectrometry Metabolomics to Identify Biologically Active Constituents in Complex Natural Product Mixtures.

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5.  Hierarchical cluster analysis of technical replicates to identify interferents in untargeted mass spectrometry metabolomics.

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6.  Improved Annotation of Untargeted Metabolomics Data through Buffer Modifications That Shift Adduct Mass and Intensity.

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7.  Tobacco smoking induces metabolic reprogramming of renal cell carcinoma.

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8.  Isotopic Ratio Outlier Analysis of the S. cerevisiae Metabolome Using Accurate Mass Gas Chromatography/Time-of-Flight Mass Spectrometry: A New Method for Discovery.

Authors:  Yunping Qiu; Robyn Moir; Ian Willis; Chris Beecher; Yu-Hsuan Tsai; Timothy J Garrett; Richard A Yost; Irwin J Kurland
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9.  Isotopic ratio outlier analysis global metabolomics of Caenorhabditis elegans.

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Review 10.  How close are we to complete annotation of metabolomes?

Authors:  Mark R Viant; Irwin J Kurland; Martin R Jones; Warwick B Dunn
Journal:  Curr Opin Chem Biol       Date:  2017-01-21       Impact factor: 8.822

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