Literature DB >> 27038389

Metabolomics by Gas Chromatography-Mass Spectrometry: Combined Targeted and Untargeted Profiling.

Oliver Fiehn1,2.   

Abstract

Gas chromatography-mass spectrometry (GC-MS)-based metabolomics is ideal for identifying and quantitating small-molecule metabolites (<650 Da), including small acids, alcohols, hydroxyl acids, amino acids, sugars, fatty acids, sterols, catecholamines, drugs, and toxins, often using chemical derivatization to make these compounds sufficiently volatile for gas chromatography. This unit shows how GC-MS-based metabolomics allows integration of targeted assays for absolute quantification of specific metabolites with untargeted metabolomics to discover novel compounds. Complemented by database annotations using large spectral libraries and validated standard operating procedures, GC-MS can identify and semiquantify over 200 compounds from human body fluids (e.g., plasma, urine, or stool) per study. Deconvolution software enables detection of more than 300 additional unidentified signals that can be annotated through accurate mass instruments with appropriate data processing workflows, similar to untargeted profiling using liquid chromatography-mass spectrometry. GC-MS is a mature technology that uses not only classic detectors (quadrupole) but also target mass spectrometers (triple quadrupole) and accurate mass instruments (quadrupole-time of flight). This unit covers sample preparation from mammalian samples, data acquisition, quality control, and data processing.
Copyright © 2016 John Wiley & Sons, Inc.

Entities:  

Keywords:  GC-MS; compound identification; mass spectrometry; multivariate statistics; pathway mapping; precision medicine; structure elucidation

Mesh:

Year:  2016        PMID: 27038389      PMCID: PMC4829120          DOI: 10.1002/0471142727.mb3004s114

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  40 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Technical advance: simultaneous analysis of metabolites in potato tuber by gas chromatography-mass spectrometry.

Authors:  U Roessner; C Wagner; J Kopka; R N Trethewey; L Willmitzer
Journal:  Plant J       Date:  2000-07       Impact factor: 6.417

3.  Quantitative metabolic profiling of urinary organic acids by gas chromatography-mass spectrometry: comparison of isolation methods.

Authors:  J A Thompson; S P Markey
Journal:  Anal Chem       Date:  1975-07       Impact factor: 6.986

4.  Metabolite profiling in blood plasma.

Authors:  Oliver Fiehn; Tobias Kind
Journal:  Methods Mol Biol       Date:  2007

5.  Development of a database of gas chromatographic retention properties of organic compounds.

Authors:  V I Babushok; P J Linstrom; J J Reed; I G Zenkevich; R L Brown; W G Mallard; S E Stein
Journal:  J Chromatogr A       Date:  2007-05-18       Impact factor: 4.759

6.  Detection of Huanglongbing disease using differential mobility spectrometry.

Authors:  Alexander A Aksenov; Alberto Pasamontes; Daniel J Peirano; Weixiang Zhao; Abhaya M Dandekar; Oliver Fiehn; Reza Ehsani; Cristina E Davis
Journal:  Anal Chem       Date:  2014-02-12       Impact factor: 6.986

7.  Identification of uncommon plant metabolites based on calculation of elemental compositions using gas chromatography and quadrupole mass spectrometry.

Authors:  O Fiehn; J Kopka; R N Trethewey; L Willmitzer
Journal:  Anal Chem       Date:  2000-08-01       Impact factor: 6.986

8.  Characterization of sterols by gas chromatography-mass spectrometry of the trimethylsilyl ethers.

Authors:  C J Brooks; E C Horning; J S Young
Journal:  Lipids       Date:  1968-09       Impact factor: 1.880

9.  InChI, the IUPAC International Chemical Identifier.

Authors:  Stephen R Heller; Alan McNaught; Igor Pletnev; Stephen Stein; Dmitrii Tchekhovskoi
Journal:  J Cheminform       Date:  2015-05-30       Impact factor: 5.514

10.  MS2Analyzer: A software for small molecule substructure annotations from accurate tandem mass spectra.

Authors:  Yan Ma; Tobias Kind; Dawei Yang; Carlos Leon; Oliver Fiehn
Journal:  Anal Chem       Date:  2014-10-14       Impact factor: 6.986

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  133 in total

1.  Metabolic Reprogramming in Astrocytes Distinguishes Region-Specific Neuronal Susceptibility in Huntington Mice.

Authors:  Aris A Polyzos; Do Yup Lee; Rupsa Datta; Meghan Hauser; Helen Budworth; Amy Holt; Stephanie Mihalik; Pike Goldschmidt; Ken Frankel; Kelly Trego; Michael J Bennett; Jerry Vockley; Ke Xu; Enrico Gratton; Cynthia T McMurray
Journal:  Cell Metab       Date:  2019-03-28       Impact factor: 27.287

2.  Improved workflow for mass spectrometry-based metabolomics analysis of the heart.

Authors:  Douglas A Andres; Lyndsay E A Young; Sudhakar Veeranki; Tara R Hawkinson; Bryana M Levitan; Daheng He; Chi Wang; Jonathan Satin; Ramon C Sun
Journal:  J Biol Chem       Date:  2020-01-24       Impact factor: 5.157

3.  Targeting Pathogenic Lafora Bodies in Lafora Disease Using an Antibody-Enzyme Fusion.

Authors:  M Kathryn Brewer; Annette Uittenbogaard; Grant L Austin; Dyann M Segvich; Anna DePaoli-Roach; Peter J Roach; John J McCarthy; Zoe R Simmons; Jason A Brandon; Zhengqiu Zhou; Jill Zeller; Lyndsay E A Young; Ramon C Sun; James R Pauly; Nadine M Aziz; Bradley L Hodges; Tracy R McKnight; Dustin D Armstrong; Matthew S Gentry
Journal:  Cell Metab       Date:  2019-07-25       Impact factor: 27.287

Review 4.  Mass Spectrometry-based Metabolomics in Translational Research.

Authors:  Su Jung Kim; Ha Eun Song; Hyo Yeong Lee; Hyun Ju Yoo
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

5.  Technical Challenges in Mass Spectrometry-Based Metabolomics.

Authors:  Fumio Matsuda
Journal:  Mass Spectrom (Tokyo)       Date:  2016-11-25

6.  Metabolomics Analyses of 14 Classical Neurotransmitters by GC-TOF with LC-MS Illustrates Secretion of 9 Cell-Cell Signaling Molecules from Sympathoadrenal Chromaffin Cells in the Presence of Lithium.

Authors:  Vivian Hook; Tobias Kind; Sonia Podvin; Mine Palazoglu; Carol Tran; Thomas Toneff; Stephanie Samra; Christopher Lietz; Oliver Fiehn
Journal:  ACS Chem Neurosci       Date:  2019-01-23       Impact factor: 4.418

Review 7.  Challenges in Identifying the Dark Molecules of Life.

Authors:  María Eugenia Monge; James N Dodds; Erin S Baker; Arthur S Edison; Facundo M Fernández
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2019-03-18       Impact factor: 10.745

8.  1,5-Anhydroglucitol predicts CKD progression in macroalbuminuric diabetic kidney disease: results from non-targeted metabolomics.

Authors:  Gesiane Tavares; Gabriela Venturini; Kallyandra Padilha; Roberto Zatz; Alexandre C Pereira; Ravi I Thadhani; Eugene P Rhee; Silvia M O Titan
Journal:  Metabolomics       Date:  2018-02-27       Impact factor: 4.290

9.  Gastric Metabolomics Detects Helicobacter pylori Correlated Loss of Numerous Metabolites in Both the Corpus and Antrum.

Authors:  Daniela Keilberg; Nina Steele; Sili Fan; Christina Yang; Yana Zavros; Karen M Ottemann
Journal:  Infect Immun       Date:  2021-01-19       Impact factor: 3.441

10.  Optimized GC-MS metabolomics for the analysis of kidney tissue metabolites.

Authors:  Biswapriya B Misra; Ram P Upadhayay; Laura A Cox; Michael Olivier
Journal:  Metabolomics       Date:  2018-05-25       Impact factor: 4.290

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